Roberto Perdisci
Roberto Perdisci
Professor of Computer Science, University of Georgia
Verified email at - Homepage
Cited by
Cited by
Botminer: Clustering analysis of network traffic for protocol-and structure-independent botnet detection
G Gu, R Perdisci, J Zhang, W Lee
From throw-away traffic to bots: detecting the rise of DGA-based malware
M Antonakakis, R Perdisci, Y Nadji, N Vasiloglou, S Abu-Nimeh, W Lee, ...
Presented as part of the 21st {USENIX} Security Symposium ({USENIX} Security …, 2012
Building a dynamic reputation system for dns.
M Antonakakis, R Perdisci, D Dagon, W Lee, N Feamster
USENIX security symposium, 273-290, 2010
Behavioral clustering of http-based malware and signature generation using malicious network traces.
R Perdisci, W Lee, N Feamster
NSDI 10, 14, 2010
Method and system for detecting malicious and/or botnet-related domain names
R Perdisci, W Lee
US Patent 10,027,688, 2018
Detecting malware domains at the upper dns hierarchy.
M Antonakakis, R Perdisci, W Lee, N Vasiloglou, D Dagon
USENIX security symposium 11, 1-16, 2011
McPAD: A multiple classifier system for accurate payload-based anomaly detection
R Perdisci, D Ariu, P Fogla, G Giacinto, W Lee
Computer networks 53 (6), 864-881, 2009
Polymorphic Blending Attacks.
P Fogla, MI Sharif, R Perdisci, OM Kolesnikov, W Lee
USENIX security symposium, 241-256, 2006
Using an ensemble of one-class svm classifiers to harden payload-based anomaly detection systems
R Perdisci, G Gu, W Lee
Sixth International Conference on Data Mining (ICDM'06), 488-498, 2006
Method and system for detecting DGA-based malware
M Antonakakis, R Perdisci, W Lee, IN Vasiloglou
US Patent 9,922,190, 2018
Misleading worm signature generators using deliberate noise injection
R Perdisci, D Dagon, W Lee, P Fogla, M Sharif
2006 IEEE Symposium on Security and Privacy (S&P'06), 15 pp.-31, 2006
Intrusion detection in computer networks by a modular ensemble of one-class classifiers
G Giacinto, R Perdisci, M Del Rio, F Roli
Information Fusion 9 (1), 69-82, 2008
Detecting malicious flux service networks through passive analysis of recursive DNS traces
R Perdisci, I Corona, D Dagon, W Lee
2009 Annual Computer Security Applications Conference, 311-320, 2009
Classification of packed executables for accurate computer virus detection
R Perdisci, A Lanzi, W Lee
Pattern recognition letters 29 (14), 1941-1946, 2008
HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows.
X Luo, P Zhou, EWW Chan, W Lee, RKC Chang, R Perdisci
NDSS 11, 2011
Mcboost: Boosting scalability in malware collection and analysis using statistical classification of executables
R Perdisci, A Lanzi, W Lee
2008 Annual Computer Security Applications Conference (ACSAC), 301-310, 2008
Detecting stealthy P2P botnets using statistical traffic fingerprints
J Zhang, R Perdisci, W Lee, U Sarfraz, X Luo
2011 IEEE/IFIP 41st International Conference on Dependable Systems …, 2011
Alarm clustering for intrusion detection systems in computer networks
R Perdisci, G Giacinto, F Roli
Engineering Applications of Artificial Intelligence 19 (4), 429-438, 2006
Early detection of malicious flux networks via large-scale passive DNS traffic analysis
R Perdisci, I Corona, G Giacinto
IEEE Transactions on Dependable and Secure Computing 9 (5), 714-726, 2012
Surf: detecting and measuring search poisoning
L Lu, R Perdisci, W Lee
Proceedings of the 18th ACM conference on Computer and communications …, 2011
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