PPT-Sensor-based Mobile Web Fingerprinting and Cross-site Input Inference Attacks

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Attacks Chuan Yue chuanyueminesedu IEEE Workshop on Mobile Security Technologies MoST 2016 1 5262016 Outline Introduction and Background Attacks Potential Defense

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Sensor-based Mobile Web Fingerprinting and Cross-site Input Inference Attacks: Transcript


Attacks Chuan Yue chuanyueminesedu IEEE Workshop on Mobile Security Technologies MoST 2016 1 5262016 Outline Introduction and Background Attacks Potential Defense Mechanisms. Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . DoS Attacks . in . Broadcast Authentication . in . Sensor Networks. . (. Ronghua. Wang, . Wenliang. Du, . Peng. . Ning. ). Advanced Computer Networks . CS577 – Fall 2013. WPI, Worcester.. Presented by . A Survey. Presented By: . Anubhav Mathur. Department of Computer Science. University of Connecticut. Authors:. John Paul Walters, . Zhengqiang. Liang,. Weisong. Shi, and . Vipin. Chaudhary. Department of Computer Science. Touching from a . Distance. In a nutshell …. Web . page fingerprinting attack . Dodges . defences. such . as. HTTPOS. Randomized . pipelining over Tor . . A. d . hoc . defenses unsuccessful. RECOGNIZING WEB PAGES. Miguel Bordallo López, Jari Hannuksela, Olli . Silvén. ,. Machine Vision . Group, . University of Oulu . {. miguel.bordallo@ee.oulu.fi. }. 3. . Hypothesis. . The latency and computing bottlenecks present in current mobile designs can be removed via software and hardware developments.. Mobile Web Fingerprinting and Cross-site Input Inference . Attacks. Chuan. Yue, chuanyue@mines.edu. IEEE . Workshop on Mobile Security Technologies (. MoST. ), . 2016. 1. 5/26/2016. Outline. Introduction and Background. :. Mobile Phone . Localization. via Ambience Fingerprinting. Martin . Azizyan. Duke University. Ionut. . Constandache. Duke University. Romit. Roy Choudhury Duke University. Abstract. Mobile computing . Shamaria Engram. University of South Florida. Systems Security. Outline. Web Application Vulnerabilities. . Injection. Detection Mechanisms. Defenses. Broken Authentication and Session . Management. Authors: Chris . Karlof. and David Wagner. University of California at Berkeley, Berkeley, CA 94720, USA. Presented by Chung Tran. Outline. Introduction. Background. Sensory Network vs. ad-hoc wireless network. BY. SASIKIRAN V.L. REDDY. STUDENT NO.6603240. OUTLINE. 1.Introduction. 2.Threats and Attacks. 3.Protocols for Detection of Clone Attacks. . 3.1 Randomized Multicast(RM). . 3.2 Line-Selected Multicast(LSM). 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. Thang Hoang. †. , Deokjai Choi. †. , . Thuc. Nguyen. ‡. † . Faculty of Information Technology, . Saigon Technology University, Vietnam. thang.hoangminh@stu.edu.vn. † . Dept. of Electronics & Computer Engineering, Chonnam National University, South Korea. Authors. Bo Sun, Fei Yu, Kui Wu, Yang Xiao, and Victor C. M. Leung.. . Presented by . Aniruddha Barapatre. Introduction. Importance of Cellular phones.. Due to the open radio transmission environment and the physical vulnerability of mobile devices , .

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