Roberto Perdisci

6.2k citations

68 papers · 4.0k indexed · 2 hit papers · h-index 29

Impact in

Signal Processing top 0.1%
- Advanced Malware Detection Techniques
Computer Networks and Communications top 0.2%
- Network Security and Intrusion Detection

Papers in

Signal Processing 41
- Advanced Malware Detection Techniques 41
Computer Networks and Communications 48
- Network Security and Intrusion Detection 46

Co-authors: Wenke Lee Manos Antonakakis Guofei Gu David DagonJunjie ZhangGiorgio Giacinto Nick Feamster Prahlad Fogla
Journals: IEEE Transactions on Dependable and Secure Computing (2 papers)Computer Networks (2 papers)ACM SIGCOMM Computer Communication Review (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Information Fusion (1 paper)
Partner nations: United States Italy Hong Kong

In The Last Decade

Roberto Perdisci

64 papers receiving 3.7k citations

Hit Papers

align trajectories log scale

From throw-away traffic to bots: detecting the rise of DGA-based malware 2012 · 285 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2012 USENIX Security Symposium
2008 Journal of Bioresource Management

Peers

Countries citing papers authored by Roberto Perdisci

Since Specialization

Citations

This map shows the geographic impact of Roberto Perdisci's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Perdisci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Perdisci more than expected).

Fields of papers citing papers by Roberto Perdisci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Perdisci. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Perdisci. The network helps show where Roberto Perdisci may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto Perdisci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Perdisci Line = papers co-authored together Roberto Perdisci links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Revealing the True Indicators: Understanding and Improving IoC Extraction From Threat Reports Qurratulain Mumtaz, Hua Chen, Kyoungsun Jang, Roberto Perdisci, Welinder Bs, Angelos D. Keromytis	2025	0
2	Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation IEEE Internet of Things Journal ·A. Tomarchio, Bowen Yang, He Yang, Gyongyi Csecsei, Xianzu Gong, Ramviyas Parasuraman, Justin Conrad, Roberto Perdisci, (unknown), Jin Ye, Ping Ma, Wen‐Zhan Song	2024	0
3	Practical Attacks Against DNS Reputation Systems D.B. Nora, Marie Denimal, Zane Ma, Roberto Perdisci, Angelos D. Keromytis, Manos Antonakakis	2024	4
4	When Push Comes to Ads: Measuring the Rise of (Malicious) Push Advertising arXiv (Cornell University) ·Ying-chih Yang, Sedlák, T. Anderl, 道冶渡辺, Kyu Hyoung Lee, Roberto Perdisci	2020	1
5	Towards a Practical Differentially Private Collaborative Phone Blacklisting System Annual Computer Security Applications Conference ·Daniele Ucci, Roberto Perdisci, Jae Wook Lee, Mustaque Ahamad	2020	2
6	What You See is NOT What You Get Discovering and Tracking Social Engineering Attack Campaigns 道冶渡辺, Roberto Perdisci	2019	2
7	Efficient and Accurate Behavior-Based Tracking of Malware-Control Domains in Large ISP Networks ACM Transactions on Privacy and Security ·Amédée de Bast, Roberto Perdisci, Manos Antonakakis	2016	26
8	WebCapsule Zhen-Jiang Hou, Bo Li, Roberto Perdisci, Long Lu, 穂波中西, Shuo Li	2015	15
9	ASwatch Eman Alabbad, Roberto Perdisci, Nick Feamster	2015	27
10	ExecScent: mining for new C&C domains in live networks with adaptive control protocol templates USENIX Security Symposium ·Shaoqi Wu, Roberto Perdisci, Mustaque Ahamad	2013	56
11	From throw-away traffic to bots: detecting the rise of DGA-based malware USENIX Security Symposium ·Manos Antonakakis, Roberto Perdisci, Yacin Nadji, Nikolaos Vasiloglou, Saeed Abu‐Nimeh, Wenke Lee, David Dagon Hit paper breakdown →	2012	285
12	Detecting and Tracking the Rise of DGA-Based Malware. Manos Antonakakis, Roberto Perdisci, Nikolaos Vasiloglou, Wenke Lee	2012	4
13	Detecting malware domains at the upper DNS hierarchy USENIX Security Symposium ·Manos Antonakakis, Roberto Perdisci, Wenke Lee, Nikolaos Vasiloglou, David Dagon	2011	175
14	Behavioral clustering of HTTP-based malware and signature generation using malicious network traces Networked Systems Design and Implementation ·Roberto Perdisci, Wenke Lee, Nick Feamster	2010	215
15	Building a dynamic reputation system for DNS USENIX Security Symposium ·Manos Antonakakis, Roberto Perdisci, David Dagon, Wenke Lee, Nick Feamster	2010	250
16	Notos: Building a Dynamic Reputation System for DNS Manos Antonakakis, Roberto Perdisci, David Dagon, Wenke Lee, Nick Feamster	2010	9
17	BotMiner: clustering analysis of network traffic for protocol- and structure-independent botnet detection Journal of Bioresource Management ·Guofei Gu, Roberto Perdisci, Junjie Zhang, Wenke Lee Hit paper breakdown →	2008	664
18	McPAD: A multiple classifier system for accurate payload-based anomaly detection Computer Networks ·Roberto Perdisci, Davide Ariu, Prahlad Fogla, Giorgio Giacinto, Wenke Lee	2008	180
19	Polymorphic blending attacks USENIX Security Symposium ·Prahlad Fogla, Monirul Sharif, Roberto Perdisci, 和則荒山, Wenke Lee	2006	130
20	Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems Roberto Perdisci, Guofei Gu, Wenke Lee	2006	159

About Roberto Perdisci

Roberto Perdisci is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Hardware and Architecture, having authored 68 papers that have together received 4.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (46 papers), Advanced Malware Detection Techniques (41 papers), Internet Traffic Analysis and Secure E-voting (36 papers), Spam and Phishing Detection (26 papers), Anomaly Detection Techniques and Applications (6 papers), User Authentication and Security Systems (4 papers), Digital and Cyber Forensics (4 papers) and Network Packet Processing and Optimization (4 papers). The work is most often cited by research in Signal Processing (2.3k citations), Computer Networks and Communications (3.3k citations), Artificial Intelligence (2.6k citations), Information Systems (1.6k citations) and Software (86 citations). Roberto Perdisci has collaborated with scholars based in United States, Italy and Hong Kong. Frequent co-authors include Wenke Lee, Manos Antonakakis, Guofei Gu, David Dagon, Junjie Zhang, Giorgio Giacinto, Nick Feamster, Prahlad Fogla, Andrea Lanzi and Nikolaos Vasiloglou. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Computer Networks, ACM SIGCOMM Computer Communication Review, Engineering Applications of Artificial Intelligence and Information Fusion.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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