PPT-Collaborative TCP Sequence Number Inference Attack —

Author : karlyn-bohler | Published Date : 2018-12-07

How to Crack Sequence Number Under A Second By arararPr langenUS sz2000 dirty0 err1asolidFillaschemeClr valbg1asolidFillalatin typefaceCopperplate Gothic Bold panose020E0705020206020404

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Collaborative TCP Sequence Number Inference Attack —: Transcript

How to Crack Sequence Number Under A Second By arararPr langenUS sz2000 dirty0 err1asolidFillaschemeClr valbg1asolidFillalatin typefaceCopperplate Gothic Bold panose020E0705020206020404 pitchFamily34 charset0arPr. prOtection. (AERO). mcgrew@cisco.com. AERO. Authenticated Encryption algorithm. Stateful. and self-synchronizing. Easy to use. Robust against nonce misuse and decryption misuse. Saves bandwidth. No nonce, no sequence number. DoS. Attacks. (2010. . IEEE. . International Conference on). 2013-10-14. 102062560 . 卓. 彥. 呈 . 1. /13. Introduction. Satellite network model. Network Control Center (NCC). Satellite Terminal (ST). Ad hoc Networks. . Neelima. . Gupta. University of Delhi. India. Neelima Gupta, Dept. of Computer Sc., University of Delhi. ATTACKS on Routing Protocols in AD-HOC NETWORKS. Black . Hole. Wormhole. Rushing Attack. Based on: A look back at “Security Problems in the TCP/IP Protocol Suite” by Steven M. . Bellovin. , AT&T Labs-Research. Presented by :Moinul I . Zaber. ,. Kent State University. What’s on Today!. Slide #. 1. 1-sample Z-test. H. o. :. . m. = . m. o. (where . m. o. = specific value). Statistic:. Test Statistic:. . Assume. :. . s. is known. n is “large” (. so . sampling distribution is Normal. S.Bengio. , . O.Vinyals. , . N.Jaitly. , . N.Shazeer. arXiv:1506.03099. Present by Hanyi Zhang. Contents. Sequence Prediction. Recurrent Neural Network. Problem Description and Proposed Models. Training using scheduled sampling. via . Mining . GWAS S. tatistics . Yue. Wang, . Xintao. Wu and . Xinghua Shi. College of Computing and Informatics, . University of North Carolina at Charlotte . Background. Data . privacy in genome-wide association studies (GWAS) is . and. . I. nformation. . S. ecurit. Y. L. ab. . Friend or Foe? Your Wearable Devices Reveal Your Personal PIN. Lead Researcher: . Yingying. Chen. . Chen Wang. †. ,. Xiaonan . Guo. †. , . Yan Wang*. INFERENCE ATTACK. . BY. . Zhiyun. Qian, . Z.Morley. , . . MaoYinglian. . Xie. . Presented By:. Yugendhar. Reddy . Sarabudla. Today’s AGENDA. Introduction. Background description. TCP Sequence Number Inference Attack. 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. ETH Zürich. October 1, 2015. Mathias Humbert . Joint . work. with Erman Ayday, Jean-Pierre Hubaux, . Kévin Huguenin, Joachim Hugonot, Amalio Telenti. (. Human. ) System Security. 0. 1. 0. 0. 1. 1. Date:. 2020-03-01. Authors:. Slide . 1. 03/01/2020. Name. Affiliations. Address. Phone. email. Liwen Chu. Young Hoon Kwon. Manish Kumar. Hongyuan Zhang. Yan Zhang. Rui Cao. Sudhir Srinivasa . Hui-Ling Lou. Bharat Bhargava. CERIAS and CS department. Purdue University. www.cs.purdue.edu/homes/bb. 1. Acknowledgement. Thanks to all my sponsors in Motorola, Northrup Grumman corporation, Air Force. Thanks to my students.

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