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Data Mining for Security - Konrad Rieck
 
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Many tasks in computer security revolve around the manual analysis of data, such as the inspection of log files or network traffic. Data mining and machine learning can help to accelerate these tasks and provides versatile tools for detecting and analyzing security data. The sesions deals with the combination of machine learning and computer security. After a short introduction to the basics of machine learning, we present common learning concepts and discuss how they are applied to security problems, such as intrusion detection, malware analysis or vulnerability discovery. I am a Professor of Computer Science at Technische Universität Braunschweig. I am leading the Institute of System Security. Prior to taking this position, I have been working at the University of Göttingen, Technische Universität Berlin and Fraunhofer Institute FIRST. My research interests revolve around computer security and machine learning. This includes the detection of computer attacks, the analysis of malicious software, and the discovery of vulnerabilities. I am also interested in efficient algorithms for analyzing structured data, such as sequences, trees and graphs. My Erdős number is 3 (Müller → Jagota → Erdős). My Bacon number is ∞, though.
Views: 700 secappdev.org
CCS 2016 Tutorial - Adversarial Data Mining: Big Data Meets Cyber Security
 
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Tutorial Lecturers: Murat Kantarcioglu, University of Texas at Dallas, US & Bowei Xi, Purdue University, US presented at CCS 2016 - the 23rd ACM Conference on Computer and Communications Security (Hofburg Palace Vienna, Austria / October 24-28, 2016) - organized by SBA Research
Views: 1476 CCS 2016
ONLINE SECURITY Against Data Mining Corporations Like FACEBOOK
 
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Protect Yourself From Spies w. Identisafe and VirtualShield VPN - Click Here Now! http://hidewithjordan.com/ . . Support my work: Patreon: https://goo.gl/qipbjt PayPal: https://goo.gl/wGZbmG Website: http://www.destroyingtheillusion.com (Subscribe to the newsletter to stay in touch!) Social Media: Twitter: @Jordan_Sather_ Facebook: @destroyingtheillusion Instagram: @jaysather Vids also on: Steemit/Dtube: https://goo.gl/quLMKi BitChute: https://goo.gl/mSB8VB DTI Apparel - https://bit.ly/2pPIgeu Donate via Crypto: BitCoin: 1Ce5QjiEqUnaHzAeU8jDR1mX8BdJLgdMZe Ethereum: 0x0B096d467BB4D8B65489a3Fa224FC02Be25227CE LiteCoin: LRKx8dJjV5ZTxtayh1sc6uckTJG7e9XoQD BitcCoin Cash: 15iuUBXL8ZTiYjA8oAkBv37mfnv4jpStzz Thank YOU for watching and supporting!
Detecting Cyber Attacks using Big Data Security Analytics
 
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Security and Privacy, Lecture of Prof. Yuval Elovici, Director of Deutsche Telekom Laboratories at Ben-Gurion University of the Negev, Ben-Gurion University of the Negev, "Detecting Cyber Attacks using Big Data Security Analytics" Data Mining for Business Intelligence - Bridging the Gap Ben-Gurion University of the Negev
Views: 6526 BenGurionUniversity
Privacy and Security Issues in Big Data and Data Mining
 
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This talk will cover privacy-preserving data mining, an emerging research topic in data mining, whose basic idea is to modify the data in such a way so as to perform data mining algorithms effectively without compromising the security of sensitive information contained in the data. Speaker: Vyas Krishnan, Ph.D. Associate Professor of Computer Science Saint Leo University
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 10623 Ben Rodick
DATA MINING in Security kurdish HD 1080P
 
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داتا ماینین كردن له‌ بواری سیكویریتی ،ئاماده‌كردنی گۆران محمد
Views: 58 goran ZETTA
Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 137390 SciShow
Final Year Projects 2015 | Information Security in Big Data: Privacy and Data Mining
 
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Including Packages ===================== * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 2247 Clickmyproject
PPDM and Data Mining Technique Ensures Privacy and Security | Final Year Projects 2016 - 2017
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://myprojectbazaar.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 106 myproject bazaar
Government Spying, Data Mining & Encryption + Cyber Surveillance with Jenna McLaughlin
 
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Government spying through cyber surveillance and metadata mining, and the ongoing negotiation between spying and security is discussed with the Intercept’s Jenna McLaughlin. How the Patriot Act’s section 215 was used and ultimately allowed to lapse, will become of the mountains of data it pulled from Americans, and what will follow with the USA Freedom Act is explored, as we talk about the corporate and government surveillance state, in this Lip News interview, hosted by Elliot Hill. GUEST BIO: Jenna McLaughlin is a reporter and blogger covering surveillance and national security. She previously covered national security and foreign policy at Mother Jones magazine as an editorial fellow. There, she recently published a deep-dive investigation into the self-proclaimed “freedom fighter” Matthew VanDyke and his mission, entrenched in problems, to train the Assyrian Christians of Iraq to fight ISIS. She routinely covered the Pentagon’s sexual assault problem, putting pressure on Lackland Air Force base and others to address issues with reporting and preventing assaults. Her coverage of the Islamic State, ISIS, has been cited by recent novels and other stories on the subject, and her coverage of Twitter and its relationship to privacy and counterterrorism has been referenced in congressional testimony. She has also published multiple freelance articles with the National Journal, and previously worked for Baltimore City Paper and DC Magazine. ADD’L LINKS: https://twitter.com/jennamc_laugh https://firstlook.org/theintercept/staff/jennamclaughlin/ http://thelip.tv/ Lip News Interviews Playlist: https://www.youtube.com/watch?v=9T5H81hvyhM&index=1&list=PLjk3H0GXhhGc1Atok_f5eqm3YbX7s82fq Newest Lip News playlist: https://www.youtube.com/watch?v=FDDnbvoJVes&index=1&list=PLjk3H0GXhhGcjJDo6cQBCQprDMQyUQY3r BUZZSAW interview clips - https://www.youtube.com/watch?v=YibeA_Mfky8&list=PLjk3H0GXhhGeWhHPas6M9sKUhThquDNOc&index=1 CRIME TIME clips playlist - https://www.youtube.com/watch?v=sbyhoMCaQCU&list=PLjk3H0GXhhGeC9DbpSnIvd2i9BHh2dBvv&index=1 BYOD (Bring Your Own Doc) Highlight Videos- https://www.youtube.com/watch?v=BgEv2qCBh9U&list=PLjk3H0GXhhGeu2DCf6Ouo7hTsA5QB2MAL&index=1 MEDIA MAYHEM short videos playlist - https://www.youtube.com/watch?v=WCi26W5tsAk&list=PLjk3H0GXhhGcz4un-zws5sMlCLk3NNjDP&index=1 https://www.facebook.com/thelip.tv http://www.youtube.com/theliptv EPISODE BREAKDOWN: 00:01 Welcoming Jenna McLaughlin to The Lip Interview. 00:28 The core debate over the fourth amendment and NSA surveillance. 02:10 The true numbers of attacks being thwarted through surveillance. 03:12 License to spy: Section 215 of the USA Patriot Act. 04:28 Ending section 215 destroying the archived information. 06:14 Metadata swept up and decoded. 07:18 Obama administration, the public, and digital surveillance. 08:30 Encryption, and the hole in technology. 11:21 Different perspectives from Homeland Security and FBI. 15:02 Lone wolves and the perceived threats against security. 17:04 The perception of continued intelligence presence, and the next steps for reform. 18:56 Corporate data aggregation vs government surveillance. 22:04 DNA collection, facial recognition. 22:50 Thanks and goodbye.
Views: 2354 TheLipTV
Data Mining and Security: the Ethics
 
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A conversation with University of Georgia associate professor of computer science Shelby Funk about the ethical implications of data mining and data security.
Views: 15 Madison Gable
Data mining analysis - Effective Approach For Classification of Nominal Data
 
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In today's era, network security has become very important and a severe issue in information and data security. The data present over the network is profoundly confidential. In order to perpetuate that data from malicious users a stable security framework is required. Intrusion detection system (IDS) is intended to detect illegitimate access to a computer or network systems. With advancement in technology by WWW, IDS can be the solution to stand guard the systems over the network. Over the time data mining techniques are used to develop efficient IDS. Here we introduce a new approach by assembling data mining techniques such as data preprocessing, feature selection and classification for helping IDS to attain a higher detection rate. The proposed techniques have three building blocks: data preprocessing techniques are used to produce final subsets. Then, based on collected training subsets various feature selection methods are applied to remove irrelevant & redundant features. The efficiency of above ensemble is checked by applying it to the different classifiers such as naive bayes, J48. By experimental results, for credit-g dataset, using discretize or normalize filter with CAE accuracy of both classifiers i.e. naive bayes & J48 is increased. For vote dataset, using discretize or normalize filter with CFS accuracy of the naive bayes classifier increased.
Views: 116 RUPAM InfoTech
Big Data Security Analytics - Key Findings of the Study
 
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As cyber-attacks are becoming increasingly advanced and persistent, and the traditional notion of a security perimeter has all but ceased to exist, organizations have to rethink their cybersecurity strategies. New real-time security intelligence solutions are combining big data and advanced analytics to correlate security events across multiple data sources, providing early detection of suspicious activities, rich forensic analysis tools, and highly automated remediation workflows. BARC and KuppingerCole’s “Big Data and Information Security” study assesses the importance, status quo, developments, benefits and challenges of big data security analytics initiatives. German version of the Study: http://barc.de/docs/big-data-und-informationssicherheit English version of the Study: http://barc-research.com/research/big-data-and-information-security/ Infographic: http://barc.de/Artikel/infografik-big-data-security-analytics
Views: 1987 BARC -Institut
Data Mining and Security- Eric Robson Interview
 
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In this video, Eric Robson of the TSSG explains what data mining is to Cian O'Sullivan; it's practical applications in the field, possible security risks, and how the TSSG can use data mining to help businesses and researchers
Views: 36 TSSG
Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU
 
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The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu.ac.il/global
Views: 1120 BenGurionUniversity
Data Mining (CISSP Free by Skillset.com)
 
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This Data Mining training video is part of the CISSP FREE training course from Skillset.com (https://www.skillset.com/certifications/cissp). Skillset helps you pass your certification exam. Faster. Guaranteed. https://www.skillset.com Topic: Data Mining Skill: Information System Vulnerability Fundamentals Skillset: Security Engineering Certification: CISSP Join the 40,000+ candidates in over 58 countries that have found a faster, better way to pass their certification exam. + Unlimited access to thousands of practice questions + Exam readiness score + Smart reinforcement + Focused training ensures 100% exam readiness + Personalized learning plan + Align exam engine to your current baseline knowledge + Eliminate wasted study time + Exam pass guarantee And much more - https://www.skillset.com
Views: 1482 Skillset
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25117 GoogleTechTalks
Data mining tutorial for beginners FREE Training 01
 
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Published on Aug 2, 2014 1 intro data mining and scraping next tutorial here: http://youtu.be/gb4ufqFkT7A please comment below if you have any questions. Tq Category Education License Standard YouTube License
Views: 105611 Red Team Cyber Security
Data Mining and Security- Eric Robson Interview
 
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In this video, Eric Robson of the TSSG explains what data mining is to Cian O'Sullivan; it's practical applications in the field, possible security risks, and how the TSSG can use data mining to help businesses and researchers
Views: 348 TSSGWIT
Hit & Miss: Student security and data mining
 
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Watch the full episode here: http://bit.ly/1lc6R3u Following the European Court's declaration that data mining is invalid, we look at the hits & misses of online privacy. Google, facing legal action for using student emails for targeted advertising, announced it is removing ad scanning from education apps. Meanwhile, Yahoo has removed the 'Do Not Track' option on their service, leading to fears users will be unable to stop targeted third party advertising, and governments possibly using it as a back door to carry on data mining. LIKE Going Underground http://fb.me/GoingUndergroundRT FOLLOW Going Underground http://twitter.com/Underground_RT FOLLOW Afshin Rattansi http://twitter.com/AfshinRattansi FOLLOW on Instagram http://instagram.com/officialgoingundergroundrt
Views: 114 goingundergroundRT
Privacy Concerns, Data Mining & Information Security
 
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This edition of North Country Matters is a conversation about Privacy, Data Mining & Information Security for individuals and families. Dan Dullea, Director of Creative Media & Production Com & Media Dept, and Donna Marchitell, TA for "Mass Media and Society" Com course at Clarkson speak with Ann Carvill, education blogger, & Donna Seymour. Both are members of the St. Lawrence Branch of the American Association of University Women.
Views: 861 Dan Dullea
Data mining, social media, kids and security
 
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Matt Kelly chats to Rihanna Patrick on ABC Radio Brisbane about the recent revelations that Google is tracking the activities of kids online, and using this data to target advertising.
Views: 118 justmediadesign
Using Big Data Analytics to Amplify Security Intelligence
 
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For more webinars, go to: http://www.infonetics.com/infonetics-events/ OVERVIEW A host of new tools and techniques are available for mining public and private network traffic and capturing every single event, but how can this data be used to improve the security of your organization? This webinar is a primer for enterprises of all sizes and service providers of all types that are looking at how big data can be used to detect, mitigate, and prevent malicious attacks. WHO SHOULD ATTEND Anyone in IT security -- government, businesses, service providers of all types -- as well as the media and financial analysts in the security space. KEY TOPICS FOR DISCUSSION - The security conditions that are driving big data solutions - How security intelligence and big data analytics can be used together to thwart attacks before they happen and provide advanced forensics capabilities - Insights into how security organizations can analyze more data more flexibly, and gain more accurate results - Answers to audience questions during live Q&A SPEAKERS - Jeff Wilson, Principal Analyst, Security, Infonetics Research - Kimberly Madia, Worldwide Product Marketing Manager, IBM -Vijay Dheap, Global Product Manager, Big Data Security Intelligence, IBM - JoAnne Emery, Event Director, Infonetics Research (Moderator)
Views: 2307 IHS Markit Technology
Panel Discussion on Digital Security & Data Mining By Shri G Narendranath,
 
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Panel Discussion on Digital Security & Data Mining By Shri G Narendranath, Member(Security), DoT, India
Views: 3 ISIT ITI Limited
Data Mining for Network Intrusion Detection
 
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Data Mining for Network Intrusion Detection: Experience with KDDCup’99 Data set
Views: 1077 Jessy Li
CIA Spook Talks, Data Mining, Cyprus Explained, Internet Surveillance, Contract Security War Crimes
 
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March 20, 2013: Decrypted Matrix with Max Maverick on Revealing Talk Radio A Motivational Message From Robert Steele -- Former CIA Why the Cyprus Situation Might become a big deal The Internet Is a Surveillance State Extreme Data Mining -- What we know about tracking users Online The Privatization of War: Mercenaries, Private Military and Security Companies http://decryptedmatrix.com http://revealingtalkradio.com
Views: 1283 Decrypted Matrix
Panel Discussion on Digital Security & Data Mining by Shri Manish Bajpai
 
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Panel Discussion on Digital Security & Data Mining by Shri Manish Bajpai COO & Co-Founder at Nivetti Systems
Views: 0 ISIT ITI Limited
How Analytics Enables Security Analytics - Or Not
 
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This is a recording of a talk at the Conference on Knowledge Discovery and Data Mining (KDD) in Chicago in August 2013. Slides are at: http://slidesha.re/1bsVNcX. The talk discusses the data mining and analytics challenges in information security. In the Cyber Security domain, we have been collecting 'big data' for almost two decades. The volume and variety of our data is extremely large, but understanding and capturing the semantics of the data is even more of a challenge. Finding the needle in the proverbial haystack has been attempted from many different angles. In this talk we will have a look at what approaches have been explored, what has worked, and what has not. We will see that there is still a large amount of work to be done and data mining is going to play a central role. We'll try to motivate that in order to successfully find bad guys, we will have to embrace a solution that not only leverages clever data mining, but employs the right mix between human computer interfaces, data mining, and scalable data platforms.
Views: 3037 Raffael Marty
Panel Discussion on Digital Security & Data Mining Dr S Venkataraman
 
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Panel Discussion on Digital Security & Data Mining by Dr S Venkataraman Department of Space, Govt. Of India
Views: 3 ISIT ITI Limited
Panel Discussion on Digital Security & Data Mining by Dr. P.V. Ananda Mohan
 
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Panel Discussion on Digital Security & Data Mining by Dr. P.V. Ananda Mohan Technology Adviser C-DAC, Bangalore
Views: 2 ISIT ITI Limited
Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining
 
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Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org, Blog: http://www.jpinfotech.blogspot.com Although a large research effort on web application security has been going on for more than a decade, the security of web applications continues to be a challenging problem. An important part of that problem derives from vulnerable source code, often written in unsafe languages like PHP. Source code static analysis tools are a solution to find vulnerabilities, but they tend to generate false positives, and require considerable effort for programmers to manually fix the code. We explore the use of a combination of methods to discover vulnerabilities in source code with fewer false positives. We combine taint analysis, which finds candidate vulnerabilities, with data mining, to predict the existence of false positives. This approach brings together two approaches that are apparently orthogonal: humans coding the knowledge about vulnerabilities (for taint analysis), joined with the seemingly orthogonal approach of automatically obtaining that knowledge (with machine learning, for data mining). Given this enhanced form of detection, we propose doing automatic code correction by inserting fixes in the source code. Our approach was implemented in the WAP tool, and an experimental evaluation was performed with a large set of PHP applications. Our tool found 388 vulnerabilities in 1.4 million lines of code. Its accuracy and precision were approximately 5% better than PhpMinerII's and 45% better than Pixy's.
Views: 563 jpinfotechprojects
Panel Discussion on Digital Security & Data Mining by Shri Sanjay Hasija
 
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Panel Discussion on Digital Security & Data Mining Shri Sanjay Hasija Head, India & SAARC. Quantum Storage
Views: 2 ISIT ITI Limited
Data Mining with Big Data
 
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To get this project in ONLINE or through TRAINING Sessions, Contact:JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83. Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry -9. Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690 , Email: [email protected], web: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
Views: 3609 jpinfotechprojects
PPDM Data Mining Technique Ensures Privacy Security Medical | Final Year Projects 2016 - 2017
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/clickmyproject Mail Us: [email protected]
Views: 7 Support EGC
DEFCON 17: Dangerous Minds: The Art of Guerrilla Data Mining
 
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Speaker: Mark Ryan Del Moral Talabis Senior Consultant, Secure-DNA Consulting It is not a secret that in today's world, information is as valuable or maybe even more valuable that any security tool that we have out there. Information is the key. That is why the US Information Awareness Office's (IAO) motto is "scientia est potential", which means "knowledge is power". The IAO just like the CIA, FBI and others make information their business. Aside from these there are multiple military related projects like TALON,ECHELON, ADVISE, and MATRIX that are concerned with information gathering and analysis. The goal of the Veritas Project is to model itself in the same general threat intelligence premise as the organization above but primarily based on community sharing approach and using tools, technologies, and techniques that are freely available. Often, concepts that are part of artificial intelligence, data mining, and text mining are thought to be highly complex and difficult. Don't mistake me, these concepts are indeed difficult, but there are tools out there that would facilitate the use of these techniques without having to learn all the concepts and math behind these topics. And as sir Isaac Newton once said, "If I have seen further it is by standing on the shoulders of giants". The combination of all the techniques presented in this site is what we call "Guerrilla Data Mining". It's supposed to be fast, easy, and accessible to anyone. The techniques provides more emphasis on practicality than theory. For example, these tools and techniques presented can be used to visualize trends (e.g. security trends over time), summarize large and diverse data sets (forums, blogs, irc), find commonalities (e.g. profiles of computer criminals) gather a high level understanding of a topic (e.g. the US economy, military activities), and automatically categorize different topics to assist research (e.g. malware taxonomy). Aside from the framework and techniques themselves, the Veritas Project hopes to present a number of current ongoing studies that uses "guerilla data mining". Ultimately, our goal is to provide as much information in how each study was done so other people can generate their own studies and share them through the project. The following studies are currently available and will be presented: For more information visit: http://bit.ly/defcon17_information To download the video visit: http://bit.ly/defcon17_videos
Views: 3907 Christiaan008
2000-10-11 CERIAS - Developing Data Mining Techniques for Intrusion Detection: A Progress Report
 
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Recorded: 10/11/2000 CERIAS Security Seminar at Purdue University Developing Data Mining Techniques for Intrusion Detection: A Progress Report Wenke Lee, North Carolina State University Intrusion detection (ID) is an important component of infrastructure protection mechanisms. Intrusion detection systems (IDSs) need to be accurate, adaptive, extensible, and cost-effective. These requirements are very challenging because of the complexities of today's network environments and the lack of IDS development tools. Our research aims to systematically improve the development process of IDSs. In the first half of the talk, I will describe our data mining framework for constructing ID models. This framework mines activity patterns from system audit data and extracts predictive features from the patterns. It then applies machine learning algorithms to the audit records, which are processed according to the feature definitions, to generate intrusion detection rules. This framework is a "toolkit" (rather than a "replacement") for the IDS developers. I will discuss the design and implementation issues in utilizing expert domain knowledge in our framework. In the second half of the talk, I will give an overview of our current research efforts, which include: cost-sensitive analysis and modeling techniques for intrusion detection; information-theoretic approaches for anomaly detection; and correlation analysis techniques for understanding attack scenarios and early detection of intrusions. Wenke Lee is an Assistant Professor in the Computer Science Department at North Carolina State University. He received his Ph.D. in Computer Science from Columbia University and B.S. in Computer Science from Zhongshan University, China. His research interests include network security, data mining, and workflow management. He is a Principle Investigator (PI) for research projects in intrusion detection and network management, with funding from DARPA, North Carolina Network Initiatives, Aprisma Management Technologies, and HRL Laboratories. He received a Best Paper Award (applied research category) at the 5th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-99), and Honorable Mention (runner-up) for Best Paper Award (applied research category) at both KDD-98 and KDD-97. He is a member of ACM and IEEE. (Visit: www.cerias.purdue.edu)
Views: 1574 ceriaspurdue
Opening Remarks From Hearing on How Data Mining Threatens Student Privacy
 
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On Wednesday, June 25th Chairman Rokita of the Subcommittee on Early Childhood, Elementary, and Secondary Education held a joint hearing with Chairman Meehan of the Homeland Security's Subcommittee on Cybersecurity, Infrastructure Protection, and Security Technologies on how data mining threatens student privacy. This video contains Chairman Rokita's opening remarks. For more information, please visit http://edworkforce.house.gov/calendar/eventsingle.aspx?EventID=384709
Views: 84 RepToddRokita

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