PPT-Detecting Spammers on Social Networks
Author : natalia-silvester | Published Date : 2018-12-08
By Gianluca Stringhini Christopher Kruegel and Giovanni Vigna Presented By Awrad Mohammed Ali 1 Introduction The Popular Social Networks Data Collection Data
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Detecting Spammers on Social Networks" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Detecting Spammers on Social Networks: Transcript
By Gianluca Stringhini Christopher Kruegel and Giovanni Vigna Presented By Awrad Mohammed Ali 1 Introduction The Popular Social Networks Data Collection Data Analysis Spam Bots Analysis. Introduction Detecting Remote Access Trojans GhostNet Definitions and concepts . How do they networks relate to health?. Case studies . Session outcomes . To outline the nature of social and community networks . To define the concepts of social support and social capital . PRESENTED By. Sravani . kambam. 1. Outline:. Introduction. Attacks on Wi-Fi . . Networks. DAIR Architecture. Detecting Attacks. Experimental Results. Channel Assignment. Limitations. Related Work. Future Work. Moving On from . Homelessness. Discussion:. Due to the heterogeneous sample, the variety of responses obtained showed there is . no . common . form . of social networks for all homeless people. . However, some common themes emerged. . Evolving Multi-Relational Social Networks. Shobeir . Fakhraei (University of Maryland). James . Foulds. . (. University of California, Santa Cruz). Madhusudana. . Shashanka. (if(we) Inc., Currently . threat to Internet users. A collaborative approach. is needed to provide the best spam-mitigation solutions. and security protection. . The Challenge of Spam. Different stakeholders are taking different steps. First half based on slides by . Kentaro Toyama,. Microsoft Research, India. And their applications to Web. Networks—Physical & Cyber. Typhoid Mary. (Mary Mallon). Patient Zero. (Gaetan Dugas). Applications of Network Theory. : Learning Network Features for Spam Detection in Twitter. Santosh K . C. , University of Houston. Suman. . Kalyan. . Maity. , IIT . Kharagpur. Arjun. Mukherjee, University of Houston. SBP-. BRiMS. Application to voting patterns in the US Senate. Based on . “Sequential . detection of temporal communities . by . estrangement . confinement”. Kawadia. , Sreenivasan, . Sci. Rep. . 1. :794 (2015). Spatio. -temporal Network-level Automatic Reputation Engine. Shuang. . Hao. , . Nadeem. Ahmed Syed, Nick . Feamster. , Alexander G. Gray, Sven . Krasser. Klevis Luli. SNARE Overview. Sender reputation . Brian Aronson. Review of ego networks. Ego network (personal network). Ego: Focal node/respondent. Alter: Actors ego has ties with. Dyad: Pair of individuals. Ties. (Ego). D. C. B. Tie types. Friends. Steven Procopio, Ph.D.. PAR Policy Director. PAR is an independent voice, offering solutions to critical public issues in Louisiana through accurate, objective research and focusing public attention on those solutions.. 1. Local Area Networks. Aloha. Slotted Aloha. CSMA (non-persistent, 1-persistent, . p-persistent). CSMA/CD. Ethernet. Token Ring. Networks: Local Area Networks. 2. Data Link. Layer. 802.3. ). Prof. . Ralucca Gera, . Applied Mathematics Dept.. Naval Postgraduate School. Monterey, California. rgera@nps.edu. Excellence Through Knowledge. Learning Outcomes. I. dentify . network models and explain their structures.
Download Document
Here is the link to download the presentation.
"Detecting Spammers on Social Networks"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents