Roberto Perdisci

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Wenke LeeJohn P. Imlay Jr. Chair and Professor of Computer Science at Georgia TechEmail yang diverifikasi di cc.gatech.edu
Manos AntonakakisGeorgia Institute of TechnologyEmail yang diverifikasi di gatech.edu
Nikolaos Vasiloglou IIIsmion IncEmail yang diverifikasi di ismion.com
Junjie ZhangWright State UniversityEmail yang diverifikasi di wright.edu
Babak RahbariniaAssistant Professor at Auburn University MontgomeryEmail yang diverifikasi di aum.edu
Yacin NadjiCorelight, IncEmail yang diverifikasi di gatech.edu
Nick FeamsterNeubauer Professor of Computer Science, University of ChicagoEmail yang diverifikasi di uchicago.edu
Xiapu LuoThe Hong Kong Polytechnic UniversityEmail yang diverifikasi di comp.polyu.edu.hk
Mustaque AhamadGeorgia Institute of TechnologyEmail yang diverifikasi di cc.gatech.edu
Phani VadrevuAssistant Professor, Louisiana State UniversityEmail yang diverifikasi di lsu.edu
Guofei GuProfessor, Department of Computer Science & Engineering, Texas A&M UniversityEmail yang diverifikasi di cse.tamu.edu
Andrea LanziAssociate Professor at Department Computer Science at University of MilanEmail yang diverifikasi di unimi.it
Fabio RoliProfessor, University of Genova and Cagliari, ItalyEmail yang diverifikasi di unige.it
Kang LiBaidu; University of GeorgiaEmail yang diverifikasi di cs.uga.edu
Davide AriuCEO & Co-Founder of Pluribus One, Research Assistant @ University of CagliariEmail yang diverifikasi di diee.unica.it
Karthika SubramaniGeorgia Institute of TechnologyEmail yang diverifikasi di gatech.edu
Igino CoronaComputer Security Researcher & Co-founder, Pluribus OneEmail yang diverifikasi di pluribus-one.it
Monirul SharifGoogleEmail yang diverifikasi di google.com
Jienan LiuDepartment of Computer Science, University of GeorgiaEmail yang diverifikasi di cs.uga.edu
Kyu Hyung LeeAssistant Professor of Computer Science, University of GeorgiaEmail yang diverifikasi di uga.edu

Ikuti

Roberto Perdisci

Professor of Computer Science, University of Georgia

Email yang diverifikasi di cs.uga.edu - Beranda

Network Security Web Security Machine Learning Applications Data Mining


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Botminer: Clustering analysis of network traffic for protocol-and structure-independent botnet detection G Gu, R Perdisci, J Zhang, W Lee	1657	2008
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, ... 21st USENIX Security Symposium (USENIX Security 12), 491-506, 2012	769	2012
Building a dynamic reputation system for {DNS} M Antonakakis, R Perdisci, D Dagon, W Lee, N Feamster 19th USENIX Security Symposium (USENIX Security 10), 2010	702	2010
Behavioral clustering of http-based malware and signature generation using malicious network traces. R Perdisci, W Lee, N Feamster NSDI 10, 14, 2010	545	2010
Method and system for detecting malicious and/or botnet-related domain names R Perdisci, W Lee US Patent 10,027,688, 2018	458	2018
Detecting malware domains at the upper {DNS} hierarchy M Antonakakis, R Perdisci, W Lee, N Vasiloglou II, D Dagon 20th USENIX Security Symposium (USENIX Security 11), 2011	441	2011
Polymorphic Blending Attacks. P Fogla, MI Sharif, R Perdisci, OM Kolesnikov, W Lee USENIX security symposium, 241-256, 2006	379	2006
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	375	2009
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	327	2006
Method and system for detecting DGA-based malware M Antonakakis, R Perdisci, W Lee, IN Vasiloglou US Patent 9,922,190, 2018	321	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	313	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	295	2008
Classification of packed executables for accurate computer virus detection R Perdisci, A Lanzi, W Lee Pattern recognition letters 29 (14), 1941-1946, 2008	255	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	254	2009
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	236	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	206	2008
{WebWitness}: investigating, categorizing, and mitigating malware download paths T Nelms, R Perdisci, M Antonakakis, M Ahamad 24th USENIX Security Symposium (USENIX Security 15), 1025-1040, 2015	199*	2015
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	176	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	167	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	156	2012

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