Roberto Perdisci
Associate Professor 
Department of Computer Science
University of Georgia
415 Boyd Graduate Studies Research Center
Athens, GA 30602-7404
Room: GSRC 423
e-mail: perdisci [ at ] uga [ dot ] edu   ||   perdisci [ at ] gatech [ dot ] edu
phone: +1 (706) 542 3482
fax: +1 (706) 542 2966
I am an Associate Professor in the Computer Science department at the University of Georgia, an Adjunct Associate Professor in the Georgia Tech School of Computer Science, a founding member of the UGA Institute for Cybersecurity and Privacy, and a faculty member of the UGA Institute for Artificial Intelligence. Before joining UGA I was Post-Doctoral Fellow at the College of Computing of the Georgia Institute of Technology, working under the supervision of Prof. Wenke Lee. I also worked as Principal Scientist at Damballa, Inc., and prior to joining Damballa I was Research Scholar at the Georgia Tech Information Security Center and PhD candidate at the University of Cagliari, Italy with the Pattern Recognition and Applications Group.

My research focuses on securing networked systems. I am particularly interested in web security, automating the analysis of security incidents, and defending networks from malware. I often combine systems research with machine learning and large-scale data mining techniques to solve challenging computer and network security problems. I am also interested in broader aspects of networked systems, including Internet-scale measurements, analysis and optimization of systems performance, and the design of networking protocols. In 2012, I received an NSF CAREER award on a project titled "Automatic Learning of Adaptive Network-Centric Malware Detection Models." Here you can find a list of my publications.

Recent Program Committee Service (complete list)

Selected Recent Publications (complete list)
  • [EuroS&P] Roberto Perdisci, Thomas Papastergiu, Omar Alrawi, Manos Antonakakis. "IoTFinder: Efficient Large-Scale Identification of IoT Devices via Passive DNS Traffic Analysis". IEEE European Symposium of Security & PrivacyEuroS&P 2019 (acceptance rate 14.6% = 38/261) [to appear]
  • [IMC] Phani Vadrevu, Roberto Perdisci. "What You See is NOT What You Get: Discovering and Tracking Social Engineering Ad Campaigns". ACM Internet Measurement ConferenceIMC 2019 (acceptance rate 19.8% = 39/197) [to appear]
  • [AsiaCCS] Jienan Liu, Babak Rahbarinia, Roberto Perdisci, Haitao Du, Li Su. "Augmenting Telephone Spam Blacklists by Mining Large CDR Datasets". ACM Symposium on Information, Computer and Communications Security, AsiaCCS 2018 [to appear]
  • [AsiaCCS] Payas Gupta, Roberto Perdisci, Mustaque Ahamad. "Towards Measuring the Role of Phone Numbers in Twitter-Advertised Spam". ACM Symposium on Information, Computer and Communications Security, AsiaCCS 2018 [to appear]
  • [NDSS] Sharbani Pandit, Roberto PerdisciMustaque Ahamad, Payas Gupta. "Towards Measuring the Effectiveness of Telephony Blacklists". Network and Distributed System Security SymposiumNDSS 2018 [to appear]
  • [NDSS] Bo Li, Phani Vadrevu, Kyu Hyung Lee, Roberto Perdisci. "JSgraph: Enabling Reconstruction of Web Attacks via Efficient Tracking of Live In-Browser JavaScript Executions". Network and Distributed System Security SymposiumNDSS 2018 [to appear]
  • [CCSYizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou. "Practical Attacks Against Graph-based Clustering" ACM Conference on Computer and Communications SecurityACM CCS 2017 (acceptance rate 18.1% = 151/836) [pdf]
  • [DSN] Babak Rahbarinia, Marco Balduzzi, Roberto Perdisci. "Exploring the Long Tail of (Malicious) Software Downloads". IEEE/IFIP International Conference on Dependable Systems and NetworksDSN 2017 (acceptance rate 22.3% = 49/220) [to appear]
  • [NDSS] Phani Vadrevu, Jienan Liu, Bo Li, Babak Rahbarinia, Kyu Hyung Lee, Roberto Perdisci. "Enabling Reconstruction of Attacks on Users via Efficient Browsing Snapshots". Network and Distributed System Security SymposiumNDSS 2017 (acceptance rate 16.1% = 68/423) [pdf,code]
  • [USENIX Sec] Terry Nelms, Roberto PerdisciManos Antonakakis, Mustaque Ahamad. "Towards Measuring and Mitigating Social Engineering Software Download Attacks.USENIX Security Symposium, 2016. (acceptance rate 15.6% = 72/463) [pdf]

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