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Computer Science

D-Index
48
Citations
15624
World Ranking
6031
National Ranking
2713

Overview

Phillip Porras is affiliated with SRI International in the United States and has contributed extensively to research in the field of computer science, particularly focusing on computer networks and communications.

Their recent academic work includes publications in prominent journals and conferences related to network security and software-defined networks. Notable papers authored or coauthored by Porras include:

  • A comprehensive security assessment framework for software-defined networks, 2020, Computers & Security
  • BottleNet: Hiding Network Bottlenecks Using SDN-Based Topology Deception, 2021, IEEE Transactions on Information Forensics and Security
  • GapFinder: Finding Inconsistency of Security Information From Unstructured Text, 2020, IEEE Transactions on Information Forensics and Security
  • Extended data plane architecture for in-network security services in software-defined networks, 2022, Computers & Security
  • Enhancing security in SDN: Systematizing attacks and defenses from a penetration perspective, 2024, Computer Networks

Porras frequently collaborates with several coauthors, which include:

  • Vinod Yegneswaran
  • Seungwon Shin
  • Jinwoo Kim
  • Jaehyun Nam
  • Seungsoo Lee

The venues where Porras has published most frequently are:

  • Computers & Security
  • IEEE Transactions on Information Forensics and Security
  • IEEE/ACM Transactions on Networking
  • Computer Networks
  • arXiv (Cornell University)

The main field of study encompasses computer science, with a strong emphasis on the subfields of computer networks and communications, artificial intelligence, information systems, and signal processing.

Their research topics prominently cover:

  • Software-Defined Networks and 5G
  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Malware Detection Techniques
  • Software Engineering Research
  • Information and Cyber Security
  • Caching and Content Delivery

Best Publications

  • State transition analysis: a rule-based intrusion detection approach

    K. Ilgun;R.A. Kemmerer;P.A. Porras

  • BotHunter: detecting malware infection through IDS-driven dialog correlation

    Guofei Gu;Phillip Porras;Vinod Yegneswaran;Martin Fong

  • EMERALD: Event Monitoring Enabling Responses to Anomalous Live Disturbances

    Phillip A. Porras;Peter G. Neumann;Ravenswood Avenue

  • Network surveillance using long-term and short-term statistical profiles to determine suspicious network activity

    Phillip Andrew Porras;Alfonso Valdes

  • FRESCO: Modular Composable Security Services for Software-Defined Networks

    Seung Won Shin;Phillip Porras;Vinod Yegneswara;Martin Fong

  • A security enforcement kernel for OpenFlow networks

    Philip Porras;Seungwon Shin;Vinod Yegneswaran;Martin Fong

  • AVANT-GUARD: scalable and vigilant switch flow management in software-defined networks

    Seungwon Shin;Vinod Yegneswaran;Phillip Porras;Guofei Gu

  • Detecting computer and network misuse through the production-based expert system toolset (P-BEST)

    U. Lindqvist;P.A. Porras

  • Method and apparatus for wireless network security

    Phillip Andrew Porras;Michael G. Corr;Steven Mark Dawson;David Watt

  • A mission-impact-based approach to INFOSEC alarm correlation

    Phillip A. Porras;Martin W. Fong;Alfonso Valdes

  • Experience with EMERALD to Date

    Peter G. Neumann;Phillip A. Porras

  • Highly predictive blacklisting

    Jian Zhang;Phillip Porras;Johannes Ullrich

  • Method and apparatus for generating highly predictive blacklists

    Phillip Andrew Porras;Jian Zhang

  • Rosemary: A Robust, Secure, and High-performance Network Operating System

    Seungwon Shin;Yongjoo Song;Taekyung Lee;Sangho Lee

  • Method and apparatus for detecting malware infection

    Guofei Gu;Phillip Andrew Porras;Martin Fong

  • Method and apparatus for identifying wireless transmitters

    Phillip Andrew Porras;Michael G. Corr;Steven Mark Dawson;David Watt

  • A comparative assessment of malware classification using binary texture analysis and dynamic analysis

    Lakshmanan Nataraj;Vinod Yegneswaran;Phillip Porras;Jian Zhang

  • Method and apparatus for combating malicious code

    Phillip Porras;Linda Briesemeister

  • Securing the Software Defined Network Control Layer.

    Phillip A. Porras;Steven Cheung;Martin W. Fong;Keith Skinner

  • DroidMiner: Automated Mining and Characterization of Fine-grained Malicious Behaviors in Android Applications

    Chao Yang;Zhaoyan Xu;Guofei Gu;Vinod Yegneswaran

Frequent Co-Authors

Vinod Yegneswaran
Vinod Yegneswaran SRI International
Guofei Gu
Guofei Gu Texas A&M University
Wenke Lee
Wenke Lee Georgia Institute of Technology
Patrick Lincoln
Patrick Lincoln SRI International
Yan Chen
Yan Chen Northwestern University
Fabian Monrose
Fabian Monrose University of North Carolina at Chapel Hill
Vitaly Shmatikov
Vitaly Shmatikov Cornell University
Thomas Reps
Thomas Reps University of Wisconsin–Madison
Dan Boneh
Dan Boneh Stanford University
Karl N. Levitt
Karl N. Levitt University of California, Davis

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