1.  Louena L. Manluctao  East Early College High School  Houston Independent School District  Dr. Guofei Gu  Assistant Professor  Department of Computer Science & Engineering  Director, SUCCESS LAB  TEXAS A & M University

2. EDUCATION Ph. D in Computer Science Georgia Institute of Technology M.S. in Computer Science Fudan University

3. Network and system security such as Internet malware detection, defense, and analysis Intrusion detection, anomaly detection Network security Web and social networking security

4. Success Lab Students PhD  Seungwon Shin  Chao Yang  Zhaoyan Xu  Jialong Zhang MS  Robert Harkreader  Shardul Vikram  Vijayasenthil VC  Lingfeng Chen Alumni  Yimin Song (MS, first employment: Juniper Networks)

5.  Network & Web Security  Botnet Analysis: Conficker  Seungwon Shin and Guofei Gu. "Conficker and Beyond: A Large-Scale Empirical Study." To appear in Proceedings of 2010 Annual Computer Security Applications Conference (ACSAC'10), Austin, Texasi, December 2010.

6.  Network & Web Security  Botnet Analysis: Conficker  Seungwon Shin, Raymond Lin, Guofei Gu. "Cross-Analysis of Botnet Victims: New Insights and Implications." To appear in Proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection (RAID 2011), Menlo Park, California, September 2011.

7.  Wireless Security  Rogue Access Point Detection  Yimin Song, Chao Yang, Guofei Gu. "Who Is Peeping at Your Passwords at Starbucks? -- To Catch an Evil Twin Access Point." In Proceedings of the 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'10), Chicago, IL, June 2010

8.  Social Networking Website Security  Twitter Spammer Accounts Detection  Chao Yang, Robert Harkreader, Guofei Gu. "Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammers." To appear in Proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection (RAID 2011), Menlo Park, California, September 2011.

9.  Malware Analysis  Analysis of binary code and source code  Dynamic Analysis  Static Analysis  Reverse Engineering  Protocol  Semanticis

10.  Intrusion and Detection System  Enterprise Network Security  Assist Us with computer terms

11.  The art of secret writing  Converts data into unintelligible (random looking) form  Must be reversible (recover original data without loss or modification)

12.  Plaintext: a message in its original form  Ciphertext: a message in the transformed, unrecognized form  Encryption: the process that transforms a plaintext into a ciphertext  Decryption: the process that transforms a ciphertext to the corresponding plaintext  Key: the value used to control encryption/decryption.

15.  To Solve Practical Security Problems  Internet malware detection, defense, and analysis  Intrusion detection, anomaly detections  Network security  Web and social networking security  To help society and country from threat of national security

17.  Help researchers identify the type of responses that are most effective against botnets  Design Goals  assist the defenders in identifying possible types of botnets  describe key properties of botnet classes

18. Estimate of overall utility. Measure the largest number of bots that can receive instructions and participate in an attack. Average amount of bandwidth that a bot can contribute, denoted by B.

19. Network diameter is one means of expressing this efficiency. This is the average geodesic length of a network.

20. Clustering coefficient measures the average degree of local transitivity. The transitivity measure index generally captures the robustness of a botnet

21. Random graphs are created to avoid creating predictable flows. In a random graph, each node is connected with equal probability to the other N-1 nodes. The chance that a bot has a degree of k is the binomial distribution:

22. Acknowledgements Texas A&M University Dr. Guofie Gu Nuclear Power Institute Texas Workforce Commission National Science Foundation Chevron

23. Wilber Rivas, Math Teacher, Del Rio High School Chao Yang, Phd Student Jialong Zhang, Phd Student