World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4273
World Ranking
12743
National Ranking
5138

Overview

Mudhakar Srivatsa is affiliated with IBM in the United States and has a research focus within the field of Computer Science. Their work spans several interdisciplinary subfields, including Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Industrial and Manufacturing Engineering, and Communication.

The scientist's research contributions cover various main topics such as Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications, Internet Traffic Analysis and Secure E-voting, Computational Physics and Python Applications, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, and Social Media and Politics.

Frequent co-authors collaborating with Mudhakar Srivatsa include Raghu Ganti, Adnan Hoque, Franck Le, Ziyao Zhang, and Claudius Krause.

They have published primarily in the venue arXiv (Cornell University), with additional works appearing in Spectrum Research Repository (Concordia University), the 2022 26th International Conference on Pattern Recognition (ICPR), IEEE Transactions on Dependable and Secure Computing, and IEEE Transactions on Emerging Topics in Computing.

Recent notable publications include:

  • Multi-scale user migration on Reddit, 2021, Spectrum Research Repository (Concordia University)
  • Neural Network Tomography, 2020, arXiv (Cornell University)
  • CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation, 2024, arXiv (Cornell University)
  • Transforming the Hybrid Cloud for Emerging AI Workloads, 2024, arXiv (Cornell University)
  • Enhancing Robustness in Federated Learning by Supervised Anomaly Detection, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)

Best Publications

  • TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks

    Mudhakar Srivatsa;Li Xiong;Ling Liu

  • Deanonymizing mobility traces: using social network as a side-channel

    Mudhakar Srivatsa;Mike Hicks

  • Vulnerabilities and security threats in structured overlay networks: a quantitative analysis

    Mudhakar Srivatsa;Ling Liu

  • Supporting Cooperative Caching in Disruption Tolerant Networks

    Wei Gao;Guohong Cao;Arun Iyengar;Mudhakar Srivatsa

  • Securing publish-subscribe overlay services with EventGuard

    Mudhakar Srivatsa;Ling Liu

  • Structural Data De-anonymization: Quantification, Practice, and Implications

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Raheem Beyah

  • Method and system for protecting against denial of service attacks

    Iyengar Arun K;Mudhakar Srivatsa;Jian Yin

  • Mitigating application-level denial of service attacks on Web servers: A client-transparent approach

    Mudhakar Srivatsa;Arun Iyengar;Jian Yin;Ling Liu

  • On Generating Characteristic-rich Question Sets for QA Evaluation

    Yu Su;Huan Sun;Brian M. Sadler;Mudhakar Srivatsa

  • Cooperative Caching for Efficient Data Access in Disruption Tolerant Networks

    Wei Gao;Guohong Cao;Arun Iyengar;Mudhakar Srivatsa

  • Apoidea: A Decentralized Peer-to-Peer Architecture for Crawling the World Wide Web

    Aameek Singh;Mudhakar Srivatsa;Ling Liu;Todd Miller

  • An Access Control System for Web Service Compositions

    M. Srivatsa;A. Iyengar;T. Mikalsen;I. Rouvellou

  • EventGuard: A System Architecture for Securing Publish-Subscribe Networks

    Mudhakar Srivatsa;Ling Liu;Arun Iyengar

  • Structure Based Data De-Anonymization of Social Networks and Mobility Traces

    Shouling Ji;Weiqing Li;Mudhakar Srivatsa;Jing Selena He

  • Efficient spatial query processing for big data

    Kisung Lee;Raghu K. Ganti;Mudhakar Srivatsa;Ling Liu

  • Darnet: a deep learning solution for distracted driving detection

    Christopher Streiffer;Ramya Raghavendra;Theophilus Benson;Mudhakar Srivatsa

  • Large Scaling Unstructured Peer-to-Peer Networks with Heterogeneity-Aware Topology and Routing

    M. Srivatsa;B. Gedik;Ling Liu

  • Secure Event Dissemination in Publish-Subscribe Networks

    M. Srivatsa;Ling Liu

  • Limitations of generating a secret key using wireless fading under active adversary

    Murtaza Zafer;Dakshi Agrawal;Mudhakar Srivatsa

  • Resilient trust management for Web service integration

    S. Park;L. Liu;C. Pu;M. Srivatsa

  • When twitter meets foursquare: tweet location prediction using foursquare

    Kisung Lee;Raghu K. Ganti;Mudhakar Srivatsa;Ling Liu

Frequent Co-Authors

Dakshi Agrawal
Dakshi Agrawal IBM (United States)
Ling Liu
Ling Liu Georgia Institute of Technology
Xifeng Yan
Xifeng Yan University of California, Santa Barbara
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Ting Wang
Ting Wang Washington University in St. Louis
Muttukrishnan Rajarajan
Muttukrishnan Rajarajan City, University of London
B.S. Manjunath
B.S. Manjunath University of California, Santa Barbara
Michael Hicks
Michael Hicks University of Maryland, College Park
Guohong Cao
Guohong Cao Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open new doors for those interested in Computer Science. Many students are looking for quick masters degrees online to fast-track their careers without sacrificing quality. Online master's degrees often allow learners to gain crucial skills in less time and with greater flexibility.

Choosing a program that pays off is important. That’s why many prospective students research masters degrees that are worth it, focusing on those with strong industry demand and rewarding salaries. For those just starting out, online associate degrees can provide a solid technical foundation and entry into the workforce sooner. Learn more about your options for associates degrees online.

Cost is always a consideration. Fortunately, there are affordable online degree programs that help reduce financial barriers and deliver quality education. Whichever pathway you choose, make sure your program aligns with your long-term goals in the dynamic field of Computer Science.

Best Scientists Citing Mudhakar Srivatsa

Trending Scientists

Recently Published Articles