PPT-Context-based Detection of Privacy Violation

Bharat Bhargava In collaboration with Mark Linderman AFRL and Chao Wang UNCC Purdue University bbshailpurdueedu Private Data Released by Trusted Parties Cloud or SoA environments Data Dissemination or Warehouses. Prof. . Moonzoo. Kim. CS492B Analysis of Concurrent Programs. Data Race Free, Yet Race Bug (1/2). Atomicity Violation Detection, Prof. Moonzoo Kim. 2. public class . Vector . implements. Collection. Leakage Confinement for Android . Applications without Firmware . Modding. Mu Zhang. Heng. Yin. Department . of . EECS, . Syracuse University. 1. Motivation: . We need a practical solution for privacy leakage confinement in Android. UTSA. Moheeb Abu Rajab, Lucas Ballard, Nav Jagpal, Panayiotis Mavrommatis,. Daisuke Nojiri, Niels Provos, Ludwig Schmidt. Present by Li Xu. 2. Detecting Malicious Web Sites. Which pages are safe URLs for end users?. Paper by: T. Bowen. Presented by: Tiyseer Al Homaiyd. 1. Introduction: . Intrusions: show observable events that deviate from the . norm.. Survivable system usually focus on detecting intrusions rather than preventing or containing damage. . Abstract. Link error and malicious packet dropping are two sources for packet losses in multi-hop wireless ad hoc network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. . IoT. - Requirements and Challenges. (. draft-zhang-iot-icn-challenges-00.txt). . ICNRG, Paris, 2014. Ravi Ravindran. (Huawei, USA). ICN-. IoT. Draft Updates. The draft has been split to encourage participation:. Alex Edgcomb. Department of Computer Science and Engineering. University of California, Riverside. http://www.examiner.com/article/fall-prevention. Copyright © 2014 Alex Edgcomb, UC Riverside.. 1. of 37. Systems. Saskia Koldijk. 1,2. , . Gijs . Koot. 2. , . Mark Neerincx. 1,3. , . Wessel . Kraaij. 1,2. www.swell-project.net . . (1). (2. ). (3. ). www.swell-project.net . Recent trends. Big data, . advances . Prof. . Moonzoo. Kim. CS492B Analysis of Concurrent Programs. Data Race Free, Yet Race Bug (1/2). Atomicity Violation Detection, Prof. Moonzoo Kim. 2. public class . Vector . implements. Collection. Joshua Sunshine. Looking Forward. Defining Ubiquitous Computing. Unique Privacy Problems. Examples. Exercise 1: Privacy Solution. Privacy Tradeoffs. Professional Solutions. Exercise 2: User Study. Conclusion. Imrul Kayes, Adriana Iamnitchi. Social Privacy Risks. 2. Why Does This Happen?. Inappropriate sharing and transferring of information . (Permissive) Default . privacy . settings . by OSN . provider. Because they can. Presented by: Larry . Grudzien. , Attorney at Law. Why are we holding this Webinar?. As a Service to our clients. To assist in complying with the HIPAA privacy requirements. New final regulations released by HHS in January 2013. Presenter: Dave McDonald. Rosco Vision Systems. Agenda. Background. Cameron Gulbransen Kids Transportation Safety Act of 2007. Abigail’s Law – New Jersey. Current Technologies. Electronic Based Detection. 03.05.16. Toni . Heugel. , Max Kessler, Violation . of. Bell . inequality. . using. . photons. 1. Theoretical Introduction – Bell inequalities. General Experimental Setup. Detailed Setup and technical Difficulties.