World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
15624
World Ranking
6032
National Ranking
2714

Phillip Porras publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Phillip Porras sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Phillip Porras D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Phillip Porras sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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