Network Intrusion Detection by Combining One-Class Classifiers. - Giorgio Giacinto; Roberto Perdisci; Fabio Roli (ICIAP, 2005)

Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems. - Roberto Perdisci; Guofei Gu; Wenke Lee (ICDM, 2006)

MisleadingWorm Signature Generators Using Deliberate Noise Injection. - Roberto Perdisci; David Dagon; Wenke Lee; Prahlad Fogla; Monirul Islam Sharif (S&P, 2006)

Polymorphic Blending Attacks. - Prahlad Fogla; Monirul Islam Sharif; Roberto Perdisci; Oleg M. Kolesnikov; Wenke Lee (USENIX Security Symposium, 2006)

Alarm clustering for intrusion detection systems in computer networks. - Roberto Perdisci; Giorgio Giacinto; Fabio Roli (Eng. Appl. Artif. Intell., 2006)

Sensing Attacks in Computers Networks with Hidden Markov Models. - Davide Ariu; Giorgio Giacinto; Roberto Perdisci (MLDM, 2007)

McBoost: Boosting Scalability in Malware Collection and Analysis Using Statistical Classification of Executables. - Roberto Perdisci; Andrea Lanzi; Wenke Lee (ACSAC, 2008)

BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection. - Guofei Gu; Roberto Perdisci; Junjie Zhang 004; Wenke Lee (USENIX Security Symposium, 2008)

Intrusion detection in computer networks by a modular ensemble of one-class classifiers. - Giorgio Giacinto; Roberto Perdisci; Mauro Del Rio; Fabio Roli (Inf. Fusion, 2008)

Classification of packed executables for accurate computer virus detection. - Roberto Perdisci; Andrea Lanzi; Wenke Lee (Pattern Recognit. Lett., 2008)

Detecting Malicious Flux Service Networks through Passive Analysis of Recursive DNS Traces. - Roberto Perdisci; Igino Corona; David Dagon; Wenke Lee (ACSAC, 2009)

WSEC DNS: Protecting recursive DNS resolvers from poisoning attacks. - Roberto Perdisci; Manos Antonakakis; Xiapu Luo; Wenke Lee (DSN, 2009)

McPAD: A multiple classifier system for accurate payload-based anomaly detection. - Roberto Perdisci; Davide Ariu; Prahlad Fogla; Giorgio Giacinto; Wenke Lee (Comput. Networks, 2009)

On the Secrecy of Spread-Spectrum Flow Watermarks. - Xiapu Luo; Junjie Zhang 004; Roberto Perdisci; Wenke Lee (ESORICS, 2010)

Behavioral Clustering of HTTP-Based Malware and Signature Generation Using Malicious Network Traces. - Roberto Perdisci; Wenke Lee; Nick Feamster (NSDI, 2010)

A Centralized Monitoring Infrastructure for Improving DNS Security. - Manos Antonakakis; David Dagon; Xiapu Luo; Roberto Perdisci; Wenke Lee; Justin Bellmor (RAID, 2010)

Building a Dynamic Reputation System for DNS. - Manos Antonakakis; Roberto Perdisci; David Dagon; Wenke Lee; Nick Feamster (USENIX Security Symposium, 2010)

Exposing invisible timing-based traffic watermarks with BACKLIT. - Xiapu Luo; Peng Zhou 002; Junjie Zhang 004; Roberto Perdisci; Wenke Lee; Rocky K. C. Chang (ACSAC, 2011)

Understanding the prevalence and use of alternative plans in malware with network games. - Yacin Nadji; Manos Antonakakis; Roberto Perdisci; Wenke Lee (ACSAC, 2011)

SURF: detecting and measuring search poisoning. - Long Lu; Roberto Perdisci; Wenke Lee (CCS, 2011)

Boosting the scalability of botnet detection using adaptive traffic sampling. - Junjie Zhang 004; Xiapu Luo; Roberto Perdisci; Guofei Gu; Wenke Lee; Nick Feamster (AsiaCCS, 2011)

Detecting stealthy P2P botnets using statistical traffic fingerprints. - Junjie Zhang 004; Roberto Perdisci; Wenke Lee; Unum Sarfraz; Xiapu Luo (DSN, 2011)

HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows. - Xiapu Luo; Peng Zhou 002; Edmond W. W. Chan; Wenke Lee; Rocky K. C. Chang; Roberto Perdisci (NDSS, 2011)

Detecting Malware Domains at the Upper DNS Hierarchy. - Manos Antonakakis; Roberto Perdisci; Wenke Lee; Nikolaos Vasiloglou; David Dagon (USENIX Security Symposium, 2011)

VAMO: towards a fully automated malware clustering validity analysis. - Roberto Perdisci; Man Chon U (ACSAC, 2012)

From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware. - Manos Antonakakis; Roberto Perdisci; Yacin Nadji; Nikolaos Vasiloglou; Saeed Abu-Nimeh; Wenke Lee; David Dagon (USENIX Security Symposium, 2012)

Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis. - Roberto Perdisci; Igino Corona; Giorgio Giacinto (IEEE Trans. Dependable Secur. Comput., 2012)

Detecting and Tracking the Rise of DGA-Based Malware. - Manos Antonakakis; Roberto Perdisci; Nikolaos Vasiloglou; Wenke Lee (login Usenix Mag., 2012)

Beheading hydras: performing effective botnet takedowns. - Yacin Nadji; Manos Antonakakis; Roberto Perdisci; David Dagon; Wenke Lee (CCS, 2013)

Measuring and Detecting Malware Downloads in Live Network Traffic. - Phani Vadrevu; Babak Rahbarinia; Roberto Perdisci; Kang Li 001; Manos Antonakakis (ESORICS, 2013)

SinkMiner: Mining Botnet Sinkholes for Fun and Profit. - Babak Rahbarinia; Roberto Perdisci; Manos Antonakakis; David Dagon (LEET, 2013)

Connected Colors: Unveiling the Structure of Criminal Networks. - Yacin Nadji; Manos Antonakakis; Roberto Perdisci; Wenke Lee (RAID, 2013)

ExecScent: Mining for New C&C Domains in Live Networks with Adaptive Control Protocol Templates. - Terry Nelms; Roberto Perdisci; Mustaque Ahamad (USENIX Security Symposium, 2013)

Scalable fine-grained behavioral clustering of HTTP-based malware. - Roberto Perdisci; Davide Ariu; Giorgio Giacinto (Comput. Networks, 2013)

ClickMiner: Towards Forensic Reconstruction of User-Browser Interactions from Network Traces. - Christopher Neasbitt; Roberto Perdisci; Kang Li 001; Terry Nelms (CCS, 2014)

DNS Noise: Measuring the Pervasiveness of Disposable Domains in Modern DNS Traffic. - Yizheng Chen 001; Manos Antonakakis; Roberto Perdisci; Yacin Nadji; David Dagon; Wenke Lee (DSN, 2014)

PeerRush: Mining for unwanted P2P traffic. - Babak Rahbarinia; Roberto Perdisci; Andrea Lanzi; Kang Li 001 (J. Inf. Secur. Appl., 2014)

Building a Scalable System for Stealthy P2P-Botnet Detection. - Junjie Zhang 004; Roberto Perdisci; Wenke Lee; Xiapu Luo; Unum Sarfraz (IEEE Trans. Inf. Forensics Secur., 2014)

WebCapsule: Towards a Lightweight Forensic Engine for Web Browsers. - Christopher Neasbitt; Bo Li 058; Roberto Perdisci; Long Lu; Kapil Singh; Kang Li 001 (CCS, 2015)

Segugio: Efficient Behavior-Based Tracking of Malware-Control Domains in Large ISP Networks. - Babak Rahbarinia; Roberto Perdisci; Manos Antonakakis (DSN, 2015)

ASwatch: An AS Reputation System to Expose Bulletproof Hosting ASes. - Maria Konte; Roberto Perdisci; Nick Feamster (SIGCOMM, 2015)

WebWitness: Investigating, Categorizing, and Mitigating Malware Download Paths. - Terry Nelms; Roberto Perdisci; Manos Antonakakis; Mustaque Ahamad (USENIX Security Symposium, 2015)

Understanding Malvertising Through Ad-Injecting Browser Extensions. - Xinyu Xing 001; Wei Meng 001; Byoungyoung Lee; Udi Weinsberg; Anmol Sheth; Roberto Perdisci; Wenke Lee (WWW, 2015)

Real-Time Detection of Malware Downloads via Large-Scale URL->File->Machine Graph Mining. - Babak Rahbarinia; Marco Balduzzi; Roberto Perdisci (AsiaCCS, 2016)

MAXS: Scaling Malware Execution with Sequential Multi-Hypothesis Testing. - Phani Vadrevu; Roberto Perdisci (AsiaCCS, 2016)

Towards Measuring and Mitigating Social Engineering Software Download Attacks. - Terry Nelms; Roberto Perdisci; Manos Antonakakis; Mustaque Ahamad (USENIX Security Symposium, 2016)

Efficient and Accurate Behavior-Based Tracking of Malware-Control Domains in Large ISP Networks. - Babak Rahbarinia; Roberto Perdisci; Manos Antonakakis (ACM Trans. Priv. Secur., 2016)

Practical Attacks Against Graph-based Clustering. - Yizheng Chen 001; Yacin Nadji; Athanasios Kountouras; Fabian Monrose; Roberto Perdisci; Manos Antonakakis; Nikolaos Vasiloglou (CCS, 2017)

Exploring the Long Tail of (Malicious) Software Downloads. - Babak Rahbarinia; Marco Balduzzi; Roberto Perdisci (DSN, 2017)

Enabling Reconstruction of Attacks on Users via Efficient Browsing Snapshots. - Phani Vadrevu; Jienan Liu; Bo Li 058; Babak Rahbarinia; Kyu Hyung Lee; Roberto Perdisci (NDSS, 2017)

Still Beheading Hydras: Botnet Takedowns Then and Now. - Yacin Nadji; Roberto Perdisci; Manos Antonakakis (IEEE Trans. Dependable Secur. Comput., 2017)

Towards Measuring the Role of Phone Numbers in Twitter-Advertised Spam. - Payas Gupta; Roberto Perdisci; Mustaque Ahamad (AsiaCCS, 2018)

Augmenting Telephone Spam Blacklists by Mining Large CDR Datasets. - Jienan Liu; Babak Rahbarinia; Roberto Perdisci; Haitao Du; Li Su (AsiaCCS, 2018)

JSgraph: Enabling Reconstruction of Web Attacks via Efficient Tracking of Live In-Browser JavaScript Executions. - Bo Li 058; Phani Vadrevu; Kyu Hyung Lee; Roberto Perdisci (NDSS, 2018)

Towards Measuring the Effectiveness of Telephony Blacklists. - Sharbani Pandit; Roberto Perdisci; Mustaque Ahamad; Payas Gupta (NDSS, 2018)

What You See is NOT What You Get: Discovering and Tracking Social Engineering Attack Campaigns. - Phani Vadrevu; Roberto Perdisci (Internet Measurement Conference, 2019)

Towards a Practical Differentially Private Collaborative Phone Blacklisting System. - Daniele Ucci; Roberto Perdisci; Jaewoo Lee; Mustaque Ahamad (ACSAC, 2020)

Mnemosyne: An Effective and Efficient Postmortem Watering Hole Attack Investigation System. - Joey Allen; Zheng Yang; Matthew Landen; Raghav Bhat; Harsh Grover; Andrew Chang; Yang Ji 002; Roberto Perdisci; Wenke Lee (CCS, 2020)

IoTFinder: Efficient Large-Scale Identification of IoT Devices via Passive DNS Traffic Analysis. - Roberto Perdisci; Thomas Papastergiou; Omar Alrawi; Manos Antonakakis (EuroS&P, 2020)

When Push Comes to Ads: Measuring the Rise of (Malicious) Push Advertising. - Karthika Subramani; Xingzi Yuan; Omid Setayeshfar; Phani Vadrevu; Kyu Hyung Lee; Roberto Perdisci (Internet Measurement Conference, 2020)

Measuring Abuse in Web Push Advertising. - Karthika Subramani; Xingzi Yuan; Omid Setayeshfar; Phani Vadrevu; Kyu Hyung Lee; Roberto Perdisci (CoRR, 2020)

Building a Collaborative Phone Blacklisting System with Local Differential Privacy. - Daniele Ucci; Roberto Perdisci; Jaewoo Lee; Mustaque Ahamad (CoRR, 2020)

IXmon: Detecting and Analyzing DRDoS Attacks at Internet Exchange Points. - Karthika Subramani; Roberto Perdisci; Maria Konte (CoRR, 2020)

Fighting Voice Spam with a Virtual Assistant Prototype. - Sharbani Pandit; Jienan Liu; Roberto Perdisci; Mustaque Ahamad (CoRR, 2020)

Introduction to the ACSAC'19 Special Issue - Part 1. - Roberto Perdisci; Martina Lindorfer; Adam Doupé; Andrea Lanzi; Alexandros Kapravelos; Gianluca Stringhini (DTRAP, 2020)

Detecting and Measuring In-The-Wild DRDoS Attacks at IXPs. - Karthika Subramani; Roberto Perdisci; Maria Konte (DIMVA, 2021)

C^2SR: Cybercrime Scene Reconstruction for Post-mortem Forensic Analysis. - Yonghwi Kwon 001; Weihang Wang 001; Jinho Jung 001; Kyu Hyung Lee; Roberto Perdisci (NDSS, 2021)

Applying Deep Learning to Combat Mass Robocalls. - Sharbani Pandit; Jienan Liu; Roberto Perdisci; Mustaque Ahamad (SP (Workshops), 2021)

Categorizing Service Worker Attacks and Mitigations. - Karthika Subramani; Jordan Jueckstock; Alexandros Kapravelos; Roberto Perdisci (CoRR, 2021)

Introduction to the ACSAC'19 Special Issue - Vol. 2. - Roberto Perdisci; Martina Lindorfer; Adam Doupé; Andrea Lanzi; Alexandros Kapravelos; Gianluca Stringhini (DTRAP, 2021)

Returning to Port: Efficient Detection of Home Router Devices. - Thomas Papastergiou; Roberto Perdisci; Manos Antonakakis (CNS, 2022)

SoK: Workerounds - Categorizing Service Worker Attacks and Mitigations. - Karthika Subramani; Jordan Jueckstock; Alexandros Kapravelos; Roberto Perdisci (EuroS&P, 2022)

PhishInPatterns: measuring elicited user interactions at scale on phishing websites. - Karthika Subramani; William Melicher; Oleksii Starov; Phani Vadrevu; Roberto Perdisci (IMC, 2022)

Introduction to the ACSAC'20 Special Issue. - Roberto Perdisci; Martina Lindorfer; Gianluca Stringhini (DTRAP, 2022)

Understanding, Measuring, and Detecting Modern Technical Support Scams. - Jienan Liu; Pooja Pun; Phani Vadrevu; Roberto Perdisci (EuroS&P, 2023)

Combating Robocalls with Phone Virtual Assistant Mediated Interaction. - Sharbani Pandit; Krishanu Sarker; Roberto Perdisci; Mustaque Ahamad; Diyi Yang (USENIX Security Symposium, 2023)

TRIDENT: Towards Detecting and Mitigating Web-based Social Engineering Attacks. - Zheng Yang; Joey Allen; Matthew Landen; Roberto Perdisci; Wenke Lee (USENIX Security Symposium, 2023)

Measuring CDNs susceptible to Domain Fronting. - Karthika Subramani; Roberto Perdisci; Pierros Skafidas (CoRR, 2023)

Practical Attacks Against DNS Reputation Systems. - Tillson Galloway; Kleanthis Karakolios; Zane Ma; Roberto Perdisci; Angelos Keromytis; Manos Antonakakis (SP, 2024)

C-Frame: Characterizing and measuring in-the-wild CAPTCHA attacks. - Hoang Dai Nguyen; Karthika Subramani; Bhupendra Acharya; Roberto Perdisci; Phani Vadrevu (SP, 2024)

WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in The Modern Web. - Joey Allen; Zheng Yang; Feng Xiao; Matthew Landen; Roberto Perdisci; Wenke Lee (USENIX Security Symposium, 2024)

Discovering and Measuring CDNs Prone to Domain Fronting. - Karthika Subramani; Roberto Perdisci; Pierros-Christos Skafidas; Manos Antonakakis (WWW, 2024)

SENet: Visual Detection of Online Social Engineering Attack Campaigns. - Irfan Ozen; Karthika Subramani; Phani Vadrevu; Roberto Perdisci (CoRR, 2024)

Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation. - Shushan Wu; Bowen Yang; He Yang; Stephen James Coshatt; Xilin Gong; Ramviyas Parasuraman; Justin Conrad; Roberto Perdisci; Wenxuan Zhong; Jin Ye 001; Ping Ma 001; WenZhan Song 001 (IEEE Internet Things J., 2025)

Uncovering Reliable Indicators: Improving IoC Extraction from Threat Reports. - Evangelos Froudakis; Athanasios Avgetidis; Sean Tyler Frankum; Roberto Perdisci; Manos Antonakakis; Angelos Keromytis (CoRR, 2025)