World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
8223
World Ranking
13361
National Ranking
5347

Overview

Manuel Egele is affiliated with Boston University in the United States and has a significant body of work primarily in the field of computer science, with a focus on security, verification, and related subfields. Their research contributions encompass a range of topics including advanced malware detection techniques, network security and intrusion detection, software testing and debugging techniques, software engineering research, software system performance and reliability, and anomaly detection techniques and applications.

Their research output includes 46 publications within computer science, with notable subdivisions in artificial intelligence, information systems, computer networks and communications, software, and signal processing. This multidisciplinary approach illustrates a blend of theoretical and applied research in security and system reliability.

Several recent papers highlight their research contributions:

  • "Evocatio" (2022) published in the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning" (2021) in IEEE Design and Test
  • "TargetFuzz" (2022) in the Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
  • "Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning" (2024) published in IEEE Transactions on Parallel and Distributed Systems
  • "HotFuzz: Discovering Temporal and Spatial Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing" (2022) in ACM Transactions on Privacy and Security

Their frequent coauthors include Ajay Joshi, Sadullah Canakci, Burak Aksar, Benjamin Schwaller, and Omar Aaziz, reflecting ongoing collaborations in research projects spanning several publications.

Manuel Egele's work has appeared in various publication venues, underscoring a diverse dissemination of research results. These venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • IEEE Design and Test
  • Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Best Publications

  • A survey on automated dynamic malware-analysis techniques and tools

    Manuel Egele;Theodoor Scholte;Engin Kirda;Christopher Kruegel

  • Panorama: capturing system-wide information flow for malware detection and analysis

    Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel

  • PiOS : Detecting privacy leaks in iOS applications

    Manuel Egele

  • An empirical study of cryptographic misuse in android applications

    Manuel Egele;David Brumley;Yanick Fratantonio;Christopher Kruegel

  • Towards Automated Dynamic Analysis for Linux-based Embedded Firmware

    Daming D. Chen;Manuel Egele;Maverick Woo;David Brumley

  • The Art, Science, and Engineering of Fuzzing: A Survey

    Valentin J.M. Manes;HyungSeok Han;Choongwoo Han;Sang Kil Cha

  • COMPA: Detecting Compromised Accounts on Social Networks.

    Manuel Egele;Gianluca Stringhini;Christopher Krügel;Giovanni Vigna

  • Dynamic spyware analysis

    Manuel Egele;Christopher Kruegel;Engin Kirda;Heng Yin

  • Defending Browsers against Drive-by Downloads: Mitigating Heap-Spraying Code Injection Attacks

    Manuel Egele;Peter Wurzinger;Christopher Kruegel;Engin Kirda

  • PayBreak: Defense Against Cryptographic Ransomware

    Eugene Kolodenker;William Koch;Gianluca Stringhini;Manuel Egele

  • EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework

    Yinzhi Cao;Yanick Fratantonio;Antonio Bianchi;Manuel Egele

  • Follow the green: growth and dynamics in twitter follower markets

    Gianluca Stringhini;Gang Wang;Manuel Egele;Christopher Kruegel

  • MoCFI: A Framework to Mitigate Control-Flow Attacks on Smartphones

    Lucas Davi;Alexandra Dmitrienko;Manuel Egele;Thomas Fischer

  • Towards Detecting Compromised Accounts on Social Networks

    Manuel Egele;Gianluca Stringhini;Christopher Kruegel;Giovanni Vigna

  • Blanket execution: dynamic similarity testing for program binaries and components

    Manuel Egele;Maverick Woo;Peter Chapman;David Brumley

  • A solution for the automated detection of clickjacking attacks

    Marco Balduzzi;Manuel Egele;Engin Kirda;Davide Balzarotti

  • Diagnosing Performance Variations in HPC Applications Using Machine Learning

    Ozan Tuncer;Emre Ates;Yijia Zhang;Ata Turk

  • Hardware Performance Counters Can Detect Malware: Myth or Fact?

    Boyou Zhou;Anmol Gupta;Rasoul Jahanshahi;Manuel Egele

  • Poultry markets: on the underground economy of twitter followers

    Gianluca Stringhini;Manuel Egele;Christopher Kruegel;Giovanni Vigna

  • EVILCOHORT: detecting communities of malicious accounts on online services

    Gianluca Stringhini;Pierre Mourlanne;Gregoire Jacob;Manuel Egele

  • EmailProfiler: Spearphishing Filtering with Header and Stylometric Features of Emails

    Sevtap Duman;Kubra Kalkan-Cakmakci;Manuel Egele;William Robertson

Frequent Co-Authors

Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Gianluca Stringhini
Gianluca Stringhini Boston University
Engin Kirda
Engin Kirda Northeastern University
Giovanni Vigna
Giovanni Vigna University of California, Santa Barbara
William Robertson
William Robertson Northeastern University
Nick Nikiforakis
Nick Nikiforakis Stony Brook University
Thorsten Holz
Thorsten Holz Max Planck Institute for Security and Privacy
Ahmad-Reza Sadeghi
Ahmad-Reza Sadeghi Technical University of Darmstadt
Lucas Davi
Lucas Davi University of Duisburg-Essen
David Brumley
David Brumley Carnegie Mellon University

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