PDF-Location based detection of replication attacks and colludeva attacks

ijcatcom 714 LOCATION BASED DETECTION OF REPLICATION ATTACKS AND COLLUDING ATTACKS PSNivedita Sai Sri Sairam Engineering College Chennai 44 India TPRani Sri Sairam Engineering College Chennai 44 India Abstract Wireless sensor networks gains its imp. Undetectable . Bluepill. Virtualization and its Attacks. What is . Virtualization?. What makes it possible?. How does . it . affect security?. Blue Pill Attacks. Conclusion. Questions. What’s Virtualization?. Ying, . Xintao. Wu. , Daniel Barbara . Spectrum based Fraud Detection in Social Networks. 1. An abstraction of collaborative attacks including spam, viral marketing, individual re-identification via active/passive attacks . Stealing the Pie Without Touching the Sill. Background. XSS recently replaced SQL injection and . related server-side . injection attacks as the number one . threat in . the OWASP . (Open Web Application Security Project) ranking.. Based on material by Prof. Vern . Paxson. , UC Berkeley. Detecting Attacks. Given a choice, we’d like our systems to be airtight-secure. But often we don’t have that choice. #1 reason why not: cost (in different dimensions). Paxson. , UC Berkeley. Detecting Attacks. Given a choice, we’d like our systems to be airtight-secure. But often we don’t have that choice. #1 reason why not: cost (in different dimensions). A (messy) alternative: detect misuse rather than build a system that can’t be misused. (. DDoS. ). Defending against Flooding-Based . DDoS. Attacks: A Tutorial. Rocky K. C. Chang. Presented by. Adwait Belsare (. adwait@wpi.edu. ). Suvesh Pratapa (. suveshp@wpi.edu. ). Modified . . by Bob Kinicki. Bluepill. Virtualization and its Attacks. What is . Virtualization?. What makes it possible?. How does . it . affect security?. Blue Pill Attacks. Conclusion. Questions. What’s Virtualization?. Software or . Fourth Edition. By: William Stallings and Lawrie Brown. Chapter . 8. Intrusion Detection. Classes of Intruders –. Cyber Criminals. Individuals or members of an organized crime group with a goal of financial reward. Mariantonietta La Polla. Fabio Martinelli. Daniele Sgandurra. Outline. Introduction. Mobile Technologies. Mobile Malware. Attacks on Mobile Devices. Security Solutions For Mobile Devices. Conclusions. Mariantonietta La Polla. Fabio Martinelli. Daniele Sgandurra. Outline. Introduction. Mobile Technologies. Mobile Malware. Attacks on Mobile Devices. Security Solutions For Mobile Devices. Conclusions. Network Monitoring Stolen from: Daniel Schatz @virturity Announcements MT2 grades released! HW3 due Friday Project 2 Autograder Released Project 3 due Monday Remaining lectures: Special Topics Monitoring for Attacks, How Nation States Spy (hint, its the same stuff), Malcode, and Trusting Trust, Tracking on the Web, Hardware Attacks, Conclusions Secure Real-time Communications over 5G. PhD Researcher Name: . Mohammad Saedi. Supervisors: . Adrian Moore, Christopher Nugent, Philip Perry. Contribution to Knowledge. To create a data set that . Characterizing collaborative/coordinated attacks. Types of collaborative attacks. Identifying Malicious activity. Identifying Collaborative Attack. . . 3. Collaborative Attacks. Informal definition:. Bharat Bhargava. . . 2. Trusted Router and Protection Against Collaborative Attacks. Characterizing collaborative/coordinated attacks. Types of collaborative attacks. Identifying Malicious activity.