PPT-Enhancing Security Using Mobile Based Anomaly Detection in Cellular Mobile Networks

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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

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Enhancing Security Using Mobile Based Anomaly Detection in Cellular Mobile Networks: Transcript

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 . Advanced Computer Networks . Cellular/Mobile Wireless Outline. Cellular Architecture. Cellular Standards. GSM, 2G, 2.5G and 3G. Mobile Definitions. Agents, addresses, correspondent. Mobile Architecture. COMS 6998-1, Fall 2012. Instructor: Li . Erran. Li (. lel2139@columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998-11Fall2012/. Lecture 12: Mobile Platform Security: Attacks and Defenses. 2. /86. Contents. Statistical . methods. parametric. non-parametric (clustering). Systems with learning. 3. /86. Anomaly detection. Establishes . profiles of normal . user/network behaviour . Compares . COMS 6998. -. 7. , . Spring . 2014. Instructor: Li . Erran. Li (. lel2139@columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998. -. 7. Spring2014/. Lecture 12: Mobile Platform Security: Attacks and Defenses. COMS 6998-. 7. , Spring 2014. Instructor: Li . Erran. Li (. lierranli@cs.columbia.edu. ). http://www.cs.columbia.edu/. ~lierranli/coms6998-7Spring2014/. 2. /3/2014 . Introduction to . iOS. &. . Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Anomaly-based . Network Intrusion . Detection (A-NIDS). by Nitish Bahadur, Gulsher Kooner, . Caitlin Kuhlman. 1. PALANTIR CYBER An End-to-End Cyber Intelligence Platform for Analysis & Knowledge Management [Online]. Available: . Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. 9. Introduction to Data Mining, . 2. nd. Edition. by. Tan. , Steinbach, Karpatne, . Kumar. With additional slides and modifications by Carolina Ruiz, WPI. 11/20/2018. Introduction to Data Mining, 2nd Edition. Lecture Notes for Chapter 10. Introduction to Data Mining. by. Tan, Steinbach, Kumar. New slides have been added and the original slides have been significantly modified by . Christoph F. . Eick. Lecture Organization . Advanced Computer Networks. D12. . Cellular/Mobile Wireless Outline. Cellular Architecture. Cellular Standards. GSM, 2G, 2.5G and 3G. Mobile Definitions. Agents, addresses, correspondent. Mobile Architecture. Project Lead: . Farokh. . Bastani. , I-Ling Yen, . Latifur. Khan. Date: April 7, 2011. 2010/Current Project Overview. Self-Detection of Abnormal Event Sequences. 2. Tasks:. Prepare Cisco event sequence data for analysis tools.. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless. . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly.

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