Do you know someone may be watching you?

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Transcript Do you know someone may be watching you?

Wilber R. Rivas Del Rio High School San Felipe Del Rio CISD Dr. Guofei Gu Director of SUCCESS laboratory S ec u re C ommunication and C omput e r S y s tems Computer Science & Engineering

 Identifying sources that are hacking into your system by using various techniques in computer science and mathematics.

 ◦ ◦ ◦ To solve practical security problems networking and system techniques applied cryptography machine learning ◦ ◦ ◦ probability/statistics information theory graph theory

 Assistant professor in the Department of Computer Science & Engineering  PhD Georgia Tech, 2008

 Automated collection and analysis of web based bot malware infections  Interests include all aspects of network and system security. ◦ ◦ ◦ ◦ Internet malware detection, defense, and analysis Intrusion detection and anomaly detections Network security Web and social networking security

 Short for malicious software, consists of programming (code, scripts, active content, and other software)  Loss of privacy

In malware, a botnet is a collection of infected computers or bots

 Secret writing  Ciphertext  ◦ ◦ The conversion of information from a readable state to apparent nonsense ATM cards Computer passwords

 Technique  A branch of artificial intelligence  Design and development of algorithms  Recognize complex patterns

 Bachelors degree in Computer Science  PhD student ◦ ◦ Intrusion detection systems for enterprises Design graph related algorithms to detect abnormal traffic

 PhD student  ◦ Wireless Network Security Detect Rogue Access Point  ◦ ◦ Online Social Networking Website Security Detect malicious/spam accounts Analyze cyber criminal ecosystem

 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 R ecent A dvances in I ntrusion D etection (RAID 2011),

 Malware Analysis  How to categorize malware and what they do   Static analysis and dynamic analysis of malware Malware encryption and decryption  Malware detection

 Communicating securely over an insecure channel

 Computer Network Security  Cryptography  Mathematics  Encryption and Decryption of data

◦  Encryption function E(P)=C ◦  Decryption Function D(C)=P ◦  Inverse functions D(E(P)) = P and E(D(C)) = C