Roberto Perdisci

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 36

Top Topics

Hypothesis Test

Forensic Analysis

Top Venues

USENIX Security Symposium

Publications

Joey Allen, Zheng Yang, Feng Xiao, Matthew Landen, Roberto Perdisci, Wenke Lee
WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in The Modern Web. USENIX Security Symposium (2024)
Irfan Ozen, Karthika Subramani, Phani Vadrevu, Roberto Perdisci
SENet: Visual Detection of Online Social Engineering Attack Campaigns. CoRR (2024)
Karthika Subramani, Roberto Perdisci, Pierros-Christos Skafidas, Manos Antonakakis
Discovering and Measuring CDNs Prone to Domain Fronting. WWW (2024)
Sharbani Pandit, Krishanu Sarker, Roberto Perdisci, Mustaque Ahamad, Diyi Yang
Combating Robocalls with Phone Virtual Assistant Mediated Interaction. USENIX Security Symposium (2023)
Zheng Yang, Joey Allen, Matthew Landen, Roberto Perdisci, Wenke Lee
TRIDENT: Towards Detecting and Mitigating Web-based Social Engineering Attacks. USENIX Security Symposium (2023)
Jienan Liu, Pooja Pun, Phani Vadrevu, Roberto Perdisci
Understanding, Measuring, and Detecting Modern Technical Support Scams. EuroS&P (2023)
Karthika Subramani, Roberto Perdisci, Pierros Skafidas
Measuring CDNs susceptible to Domain Fronting. CoRR (2023)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci
SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations. EuroS&P (2022)
Karthika Subramani, William Melicher, Oleksii Starov, Phani Vadrevu, Roberto Perdisci
PhishInPatterns: measuring elicited user interactions at scale on phishing websites. IMC (2022)
Thomas Papastergiou, Roberto Perdisci, Manos Antonakakis
Returning to Port: Efficient Detection of Home Router Devices. CNS (2022)
Sharbani Pandit, Jienan Liu, Roberto Perdisci, Mustaque Ahamad
Applying Deep Learning to Combat Mass Robocalls. SP Workshops (2021)
Karthika Subramani, Roberto Perdisci, Maria Konte
Detecting and Measuring In-The-Wild DRDoS Attacks at IXPs. DIMVA (2021)
Karthika Subramani, Jordan Jueckstock, Alexandros Kapravelos, Roberto Perdisci
Categorizing Service Worker Attacks and Mitigations. CoRR (2021)
Yonghwi Kwon, Weihang Wang, Jinho Jung, Kyu Hyung Lee, Roberto Perdisci
C^2SR: Cybercrime Scene Reconstruction for Post-mortem Forensic Analysis. NDSS (2021)
Karthika Subramani, Xingzi Yuan, Omid Setayeshfar, Phani Vadrevu, Kyu Hyung Lee, Roberto Perdisci
When Push Comes to Ads: Measuring the Rise of (Malicious) Push Advertising. Internet Measurement Conference (2020)
Sharbani Pandit, Jienan Liu, Roberto Perdisci, Mustaque Ahamad
Fighting Voice Spam with a Virtual Assistant Prototype. CoRR (2020)
Karthika Subramani, Roberto Perdisci, Maria Konte
IXmon: Detecting and Analyzing DRDoS Attacks at Internet Exchange Points. CoRR (2020)
Joey Allen, Zheng Yang, Matthew Landen, Raghav Bhat, Harsh Grover, Andrew Chang, Yang Ji, Roberto Perdisci, Wenke Lee
Mnemosyne: An Effective and Efficient Postmortem Watering Hole Attack Investigation System. CCS (2020)
Daniele Ucci, Roberto Perdisci, Jaewoo Lee, Mustaque Ahamad
Towards a Practical Differentially Private Collaborative Phone Blacklisting System. ACSAC (2020)
Roberto Perdisci, Thomas Papastergiou, Omar Alrawi, Manos Antonakakis
IoTFinder: Efficient Large-Scale Identification of IoT Devices via Passive DNS Traffic Analysis. EuroS&P (2020)
Karthika Subramani, Xingzi Yuan, Omid Setayeshfar, Phani Vadrevu, Kyu Hyung Lee, Roberto Perdisci
Measuring Abuse in Web Push Advertising. CoRR (2020)
Daniele Ucci, Roberto Perdisci, Jaewoo Lee, Mustaque Ahamad
Building a Collaborative Phone Blacklisting System with Local Differential Privacy. CoRR (2020)
Phani Vadrevu, Roberto Perdisci
What You See is NOT What You Get: Discovering and Tracking Social Engineering Attack Campaigns. Internet Measurement Conference (2019)
Sharbani Pandit, Roberto Perdisci, Mustaque Ahamad, Payas Gupta
Towards Measuring the Effectiveness of Telephony Blacklists. NDSS (2018)
Payas Gupta, Roberto Perdisci, Mustaque Ahamad
Towards Measuring the Role of Phone Numbers in Twitter-Advertised Spam. AsiaCCS (2018)
Jienan Liu, Babak Rahbarinia, Roberto Perdisci, Haitao Du, Li Su
Augmenting Telephone Spam Blacklists by Mining Large CDR Datasets. AsiaCCS (2018)
Bo Li, Phani Vadrevu, Kyu Hyung Lee, Roberto Perdisci
JSgraph: Enabling Reconstruction of Web Attacks via Efficient Tracking of Live In-Browser JavaScript Executions. NDSS (2018)
Phani Vadrevu, Jienan Liu, Bo Li, Babak Rahbarinia, Kyu Hyung Lee, Roberto Perdisci
Enabling Reconstruction of Attacks on Users via Efficient Browsing Snapshots. NDSS (2017)
Babak Rahbarinia, Marco Balduzzi, Roberto Perdisci
Exploring the Long Tail of (Malicious) Software Downloads. DSN (2017)
Yacin Nadji, Roberto Perdisci, Manos Antonakakis
Still Beheading Hydras: Botnet Takedowns Then and Now. IEEE Trans. Dependable Secur. Comput. 14 (5) (2017)
Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou
Practical Attacks Against Graph-based Clustering. CoRR (2017)
Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou
Practical Attacks Against Graph-based Clustering. CCS (2017)
Phani Vadrevu, Roberto Perdisci
MAXS: Scaling Malware Execution with Sequential Multi-Hypothesis Testing. AsiaCCS (2016)
Terry Nelms, Roberto Perdisci, Manos Antonakakis, Mustaque Ahamad
Towards Measuring and Mitigating Social Engineering Software Download Attacks. USENIX Security Symposium (2016)
Babak Rahbarinia, Marco Balduzzi, Roberto Perdisci
Real-Time Detection of Malware Downloads via Large-Scale URL->File->Machine Graph Mining. AsiaCCS (2016)
Babak Rahbarinia, Roberto Perdisci, Manos Antonakakis
Efficient and Accurate Behavior-Based Tracking of Malware-Control Domains in Large ISP Networks. ACM Trans. Priv. Secur. 19 (2) (2016)
Babak Rahbarinia, Roberto Perdisci, Manos Antonakakis
Segugio: Efficient Behavior-Based Tracking of Malware-Control Domains in Large ISP Networks. DSN (2015)
Xinyu Xing, Wei Meng, Byoungyoung Lee, Udi Weinsberg, Anmol Sheth, Roberto Perdisci, Wenke Lee
Understanding Malvertising Through Ad-Injecting Browser Extensions. WWW (2015)
Terry Nelms, Roberto Perdisci, Manos Antonakakis, Mustaque Ahamad
WebWitness: Investigating, Categorizing, and Mitigating Malware Download Paths. USENIX Security Symposium (2015)
Christopher Neasbitt, Bo Li, Roberto Perdisci, Long Lu, Kapil Singh, Kang Li
WebCapsule: Towards a Lightweight Forensic Engine for Web Browsers. CCS (2015)
Nick Feamster, Maria Konte, Roberto Perdisci
ASwatch: An AS Reputation System to Expose Bulletproof Hosting ASes. Computer Communication Review (2015)
Maria Konte, Roberto Perdisci, Nick Feamster
ASwatch: An AS Reputation System to Expose Bulletproof Hosting ASes. SIGCOMM (2015)
Babak Rahbarinia, Roberto Perdisci, Andrea Lanzi, Kang Li
PeerRush: Mining for unwanted P2P traffic. J. Inf. Secur. Appl. 19 (3) (2014)
Yizheng Chen, Manos Antonakakis, Roberto Perdisci, Yacin Nadji, David Dagon, Wenke Lee
DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic. DSN (2014)
Junjie Zhang, Roberto Perdisci, Wenke Lee, Xiapu Luo, Unum Sarfraz
Building a Scalable System for Stealthy P2P-Botnet Detection. IEEE Trans. Inf. Forensics Secur. 9 (1) (2014)
Christopher Neasbitt, Roberto Perdisci, Kang Li, Terry Nelms
ClickMiner: Towards Forensic Reconstruction of User-Browser Interactions from Network Traces. CCS (2014)
Yacin Nadji, Manos Antonakakis, Roberto Perdisci, David Dagon, Wenke Lee
Beheading hydras: performing effective botnet takedowns. CCS (2013)
Babak Rahbarinia, Roberto Perdisci, Andrea Lanzi, Kang Li
PeerRush: Mining for Unwanted P2P Traffic. DIMVA (2013)
Roberto Perdisci, Davide Ariu, Giorgio Giacinto
Scalable fine-grained behavioral clustering of HTTP-based malware. Comput. Networks 57 (2) (2013)
Babak Rahbarinia, Roberto Perdisci, Manos Antonakakis, David Dagon
SinkMiner: Mining Botnet Sinkholes for Fun and Profit. LEET (2013)
Yacin Nadji, Manos Antonakakis, Roberto Perdisci, Wenke Lee
Connected Colors: Unveiling the Structure of Criminal Networks. RAID (2013)
Terry Nelms, Roberto Perdisci, Mustaque Ahamad
ExecScent: Mining for New C&C Domains in Live Networks with Adaptive Control Protocol Templates. USENIX Security Symposium (2013)
Phani Vadrevu, Babak Rahbarinia, Roberto Perdisci, Kang Li, Manos Antonakakis
Measuring and Detecting Malware Downloads in Live Network Traffic. ESORICS (2013)
Manos Antonakakis, Roberto Perdisci, Yacin Nadji, Nikolaos Vasiloglou, Saeed Abu-Nimeh, Wenke Lee, David Dagon
From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware. USENIX Security Symposium (2012)
Manos Antonakakis, Roberto Perdisci, Nikolaos Vasiloglou, Wenke Lee
Detecting and Tracking the Rise of DGA-Based Malware. login Usenix Mag. 37 (6) (2012)
Roberto Perdisci, Igino Corona, Giorgio Giacinto
Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis. IEEE Trans. Dependable Secur. Comput. 9 (5) (2012)
Roberto Perdisci, Man Chon U
VAMO: towards a fully automated malware clustering validity analysis. ACSAC (2012)
Yacin Nadji, Manos Antonakakis, Roberto Perdisci, Wenke Lee
Understanding the prevalence and use of alternative plans in malware with network games. ACSAC (2011)
Long Lu, Roberto Perdisci, Wenke Lee
SURF: detecting and measuring search poisoning. CCS (2011)
Xiapu Luo, Peng Zhou, Edmond W. W. Chan, Wenke Lee, Rocky K. C. Chang, Roberto Perdisci
HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows. NDSS (2011)
Xiapu Luo, Peng Zhou, Junjie Zhang, Roberto Perdisci, Wenke Lee, Rocky K. C. Chang
Exposing invisible timing-based traffic watermarks with BACKLIT. ACSAC (2011)
Junjie Zhang, Xiapu Luo, Roberto Perdisci, Guofei Gu, Wenke Lee, Nick Feamster
Boosting the scalability of botnet detection using adaptive traffic sampling. AsiaCCS (2011)
Manos Antonakakis, Roberto Perdisci, Wenke Lee, Nikolaos Vasiloglou, David Dagon
Detecting Malware Domains at the Upper DNS Hierarchy. USENIX Security Symposium (2011)
Junjie Zhang, Roberto Perdisci, Wenke Lee, Unum Sarfraz, Xiapu Luo
Detecting stealthy P2P botnets using statistical traffic fingerprints. DSN (2011)
Manos Antonakakis, David Dagon, Xiapu Luo, Roberto Perdisci, Wenke Lee, Justin Bellmor
A Centralized Monitoring Infrastructure for Improving DNS Security. RAID (2010)
Xiapu Luo, Junjie Zhang, Roberto Perdisci, Wenke Lee
On the Secrecy of Spread-Spectrum Flow Watermarks. ESORICS (2010)
Roberto Perdisci, Wenke Lee, Nick Feamster
Behavioral Clustering of HTTP-Based Malware and Signature Generation Using Malicious Network Traces. NSDI (2010)
Manos Antonakakis, Roberto Perdisci, David Dagon, Wenke Lee, Nick Feamster
Building a Dynamic Reputation System for DNS. USENIX Security Symposium (2010)
Roberto Perdisci, Davide Ariu, Prahlad Fogla, Giorgio Giacinto, Wenke Lee
McPAD: A multiple classifier system for accurate payload-based anomaly detection. Comput. Networks 53 (6) (2009)
Roberto Perdisci, Igino Corona, David Dagon, Wenke Lee
Detecting Malicious Flux Service Networks through Passive Analysis of Recursive DNS Traces. ACSAC (2009)
Roberto Perdisci, Manos Antonakakis, Xiapu Luo, Wenke Lee
WSEC DNS: Protecting recursive DNS resolvers from poisoning attacks. DSN (2009)
Roberto Perdisci, Andrea Lanzi, Wenke Lee
Classification of packed executables for accurate computer virus detection. Pattern Recognit. Lett. 29 (14) (2008)
Roberto Perdisci, Andrea Lanzi, Wenke Lee
McBoost: Boosting Scalability in Malware Collection and Analysis Using Statistical Classification of Executables. ACSAC (2008)
Guofei Gu, Roberto Perdisci, Junjie Zhang, Wenke Lee
BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection. USENIX Security Symposium (2008)
Giorgio Giacinto, Roberto Perdisci, Mauro Del Rio, Fabio Roli
Intrusion detection in computer networks by a modular ensemble of one-class classifiers. Inf. Fusion 9 (1) (2008)
Davide Ariu, Giorgio Giacinto, Roberto Perdisci
Sensing Attacks in Computers Networks with Hidden Markov Models. MLDM (2007)
Roberto Perdisci, Guofei Gu, Wenke Lee
Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems. ICDM (2006)
Roberto Perdisci, David Dagon, Wenke Lee, Prahlad Fogla, Monirul I. Sharif
MisleadingWorm Signature Generators Using Deliberate Noise Injection. IEEE Symposium on Security and Privacy (2006)
Prahlad Fogla, Monirul I. Sharif, Roberto Perdisci, Oleg M. Kolesnikov, Wenke Lee
Polymorphic Blending Attacks. USENIX Security Symposium (2006)
Roberto Perdisci, Giorgio Giacinto, Fabio Roli
Alarm clustering for intrusion detection systems in computer networks. Eng. Appl. Artif. Intell. 19 (4) (2006)
Giorgio Giacinto, Roberto Perdisci, Fabio Roli
Network Intrusion Detection by Combining One-Class Classifiers. ICIAP (2005)
Giorgio Giacinto, Roberto Perdisci, Fabio Roli
Alarm Clustering for Intrusion Detection Systems in Computer Networks. MLDM (2005)