PPT-Efficient, Context-Aware Privacy

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. Z. . Zhong. , L. . Ramaswamy. and K. Li, IEEE, INFOCOM 2008. Intelligent E-Commerce System Lab.. Aettie. , . Ji. OUTLINE. INTORDUCTION. PRIOR WORK. THE ALPACAS ANTI-SPAM FRAMEWORK. Feature-Preserving Fingerprint. Moquan Chen & Stian Kilaas. Introduction. Context-aware communication: the way a user is contacted depends on his/her context. This article examines projects and gives them points on a context-aware vs. autonomous actions graph. Participants. Ashwin. . Machanavajjhala. (leader). Suman. Nath (scribe). Kristen . Lefevre. Evimaria. . Terzi. Alan . Mislove. Ranga. . Raju. . Vatsavai. Jennifer Neville. Hakan. . Hacigumus. Mohamed Mokbel . using . Dempster-Shafer Theory. Dr. Susan McKeever. Nov 4. th. 2013. . Context Aware systems – . e.g. . Smart home. Sensors in a smart home. Situation tracking – what is the user doing? What activity are they undertaking?. Bharat . Bhargava. In collaboration with Mark Linderman (AFRL) and Chao Wang (UNCC). Purdue University. bbshail@purdue.edu. Private Data Released by Trusted Parties. Cloud or SoA environments. Data Dissemination or Warehouses. City University of Hong Kong. Kehuan. Zhang. Xiaoyong. Zhou. Mehool. . Intwala. Apu. . Kapadia. XiaoFeng. Wang. Indiana University Bloomington. NDSS Symposium 2011. 報告人：張逸文. Soundcomber. B. Hoh, M. . Gruteser. , H. . Xiong. , and A. . Alrabady. . ACM CCS. Presented by . Solomon Njorombe. Abstract. Motivation. Probe-vehicle automotive monitoring systems. Guaranteed anonymity in location traces datasets. 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 . Joshua Sunshine. Looking Forward. Defining Ubiquitous Computing. Unique Privacy Problems. Examples. Exercise 1: Privacy Solution. Privacy Tradeoffs. Professional Solutions. Exercise 2: User Study. Conclusion. GLIF 2015, Prague. Andrew Lee. leea@indiana.edu. 1. Open. , privacy-aware, network measurement, analysis, and visualization service . Designed to address the needs of today’s international networks. 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. and Residential Monitoring. Presented by,. Swathi. Krishna . Kilari. A. Wood, G. . Virone. , T. Doan, Q. Cao, L. . Selavo. , Y. Wu, L. Fang, Z. He, S. Lin, J. . Stankovic. Department of Computer Science. Capturing, Communicating, and Enforcing . Privacy Policies and Preferences. Primal Pappachan. , Martin Degeling, Roberto Yus, Anupam Das, . Sruti Bhagavatula, William Melicher, Pardis Emami Naeini, Shikun Zhang, . context. Graham Greenleaf. Professor of Law & Information . Systems, UNSW. Legal . Studies State Conference . 2019. 29 March 2019 . . Overview. Why is data privacy valuable. ?. Who/what endangers privacy most?.