PPT-Detection of Promiscuous nodes Using Arp Packets

By Engin Arslan Introduction Threats in local networks Packet sniffing can lead to access private confidential data Use Arp packets to identify sniffers Principle of Sniffing Local networks are composed of Ethernet. Rodrigo Fonseca (. rfonseca. ). http://www.cs.brown.edu/courses/cs168. cs168tas@cs.brown.edu. Based partly on lecture notes by David . Mazi. ères. , Phil Levis, John . Jannotti. , Peterson & Davie. Chapter 3. 1. Chapter 3, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Community. Community. : It is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. Jimeng. Sun, . Huiming. . Qu. , . Deepayan. . Chakrabarti. & Christos . Faloutsos. Presented By. Bhavana. . Dalvi. Outline. Motivation. Problem Definition. Neighborhood formation. Anomaly detection. Ali . Al-. Shemery. arabnix. [at] . gmail. All materials is licensed under a Creative Commons “Share Alike” license.. http://creativecommons.org/licenses/by-sa/3.0/. 2. # . whoami. Ali . Al-. Shemery. Problem:. Given network and noisy domain knowledge about suspicious nodes (flags), which nodes are most risky?. Cash. Money from A/P to purchase inventory. Transfer from A/R, report revenue. Accounts Payable. 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. . inWireless. Sensor Networks. Abstract. Wireless sensor networks are vulnerable to the node clone, and several distributed protocols have been proposed to . de¬tect. this attack. . However, they require too strong assumptions to be practical for large-scale, randomly deployed sensor networks. . Zhuo. Lu. University of Memphis. Cliff Wang. Army Research Office. Mingkui Wei. NC State University. Introduction. System Models. Role Detection. Role Concealment. Conclusion. Introduction. Tactical wireless networks:. Gateways for Congestion Avoidance. *. Sally Floyd and Van Jacobson,. IEEE Transactions on Networking. , Vol.1, No. 4, (Aug 1993), pp.397-413.. Presented by Bob Kinicki. * . 7496. . citations as of . Stephen Huang. Sept. 20, 2013. News. 2. http://arstechnica.com/security/2013/09/meet-hidden-lynx-the-most-elite-hacker-crew-youve-never-heard-of/. 3. Jobs. http://www.homelandsecuritynewswire.com/dr20130809-cybersecurity-jobs-average-over-100-000-a-year. Zhuo. Lu. University of Memphis. Cliff Wang. Army Research Office. Mingkui Wei. NC State University. Introduction. System Models. Role Detection. Role Concealment. Conclusion. Introduction. Tactical wireless networks:. (. DDoS. ). Defending against Flooding-Based . DDoS. Attacks: A Tutorial. Rocky K. C. Chang. Presented by. Adwait Belsare (. adwait@wpi.edu. ). Suvesh Pratapa (. suveshp@wpi.edu. ). Modified . . by Bob Kinicki. (. DDoS. ). Defending against Flooding-Based . DDoS. Attacks: A Tutorial. Rocky K. C. Chang. Presented by. Adwait Belsare (. adwait@wpi.edu. ). Suvesh Pratapa (. suveshp@wpi.edu. ). Modified by Bob Kinicki. (. DDoS. ). Defending against Flooding-Based . DDoS. Attacks: A Tutorial. Rocky K. C. Chang. Presented by. Adwait Belsare (. adwait@wpi.edu. ). Suvesh Pratapa (. suveshp@wpi.edu. ). Modified by Bob Kinicki.