PPT-Web-Based Attacks

Offense Wild Wild West Bob Jeff and Junia Agenda Weaknesses of the paper Attacks not mentioned Future Trends Weaknesses of the paper Webbased Attacks White Paper or Infomercial. 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 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 . Yossi. Oren and . Avishai. Wool. , . http://eprint.iacr.org/2009/422. snipurl.com/e-voting. IEEE RFID’2010, Orlando FL. Agenda. What’s the Israeli e-Voting Scheme?. How can we break it cheaply and completely?. 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.. Liang Wang. 1. , Kevin P. Dyer. 2. , Aditya Akella. 1. , . Thomas Ristenpart. 3. , Thomas Shrimpton. 4. . 1. University of Wisconsin-Madison, . 2. Portland State University, . 3 . Cornell Tech, . 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. Mariantonietta La Polla. Fabio Martinelli. Daniele Sgandurra. Outline. Introduction. Mobile Technologies. Mobile Malware. Attacks on Mobile Devices. Security Solutions For Mobile Devices. Conclusions. Source. :: http://thecleartech.com/wp-content/uploads/XKCD-password_strength-part1.png. Agenda. 1. . Introduction. 2. . Weaknesses and attacks. 2.1. Client-based attacks. 2.2. Transport-based attacks. Mariantonietta La Polla. Fabio Martinelli. Daniele Sgandurra. Outline. Introduction. Mobile Technologies. Mobile Malware. Attacks on Mobile Devices. Security Solutions For Mobile Devices. 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. Mengjia Yan, Yasser . Shalabi. , . Josep. . Torrellas. University of Illinois at Urbana-Champaign. http://. iacoma.cs.uiuc.edu. MICRO October 2016. Motivation. Cache-based covert channel attacks. Communicate through cache conflicts. Attacks. Chuan. Yue, chuanyue@mines.edu. IEEE . Workshop on Mobile Security Technologies (. MoST. ), . 2016. 1. 5/26/2016. Outline. Introduction and Background. Attacks. Potential Defense Mechanisms.