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Bharat Bhargava

Bharat Bhargava

Purdue University · Computer Science

Active 1971–2026

h-index52
Citations10.5k
Papers50169 last 5y
Funding$981k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Bharat K. Bhargava is a professor in the Department of Computer Science at Purdue University, with a courtesy appointment in the School of Electrical & Computer Engineering. His research focuses on security and privacy issues in distributed systems, including host authentication, key management, secure routing, dealing with malicious hosts, and adaptability to attacks. His recent work involves Intelligent Autonomous Systems, data analytics, machine learning, cognitive autonomy, reflexivity, deep learning, and knowledge discovery. He has contributed to privacy-preserving data dissemination in cross-domains and has studied vulnerabilities in large organizational systems to assess threats impacting areas such as nuclear waste transport, bio-security, disaster management, and homeland security. Bhargava has received multiple awards, including seven best paper awards, the IEEE Technical Achievement Award, and recognition as a Fellow of the IEEE and the Institute of Electronics and Telecommunication Engineers. He is also known for his active mentorship of minority students, his support for women and differently-abled students, and his service on various editorial boards and professional committees.

Research topics

  • Computer science
  • Computer network
  • Distributed computing
  • Computer security
  • Database

Selected publications

  • Detection of Message Injection Attacks Onto the CAN Bus Using Similarities of Successive Messages-Sequence Graphs

    IEEE Transactions on Information Forensics and Security · 2021-01-01 · 75 citations

    articleOpen accessSenior author

    The smart features of modern cars are enabled by a number of Electronic Control Units (ECUs) components that communicate through an in-vehicle network, known as Controller Area Network (CAN) bus. The fundamental challenge is the security of the communication link where an attacker can inject messages (e.g., increase the speed) that may impact the safety of the driver. Most of existing practical IDS solutions rely on the knowledge of the identity of the ECUs, which is proprietary information. Thi…

  • RL-ABE: A Revocable Lattice Attribute Based Encryption Scheme Based on R-LWE Problem in Cloud Storage

    IEEE Transactions on Services Computing · 2020-02-11 · 53 citations

    articleSenior author

    In this article, we propose a revocable lattice-based CP-ABE (Ciphertext-Policy Attribute-Based Encryption) scheme (RL-ABE), which is suitable to be applied in the cloud storage. The RL-ABE scheme can resist quantum algorithm attack and ensure fine-grained access control to the users’ rights in achieving shared data. In addition, our scheme can realize attribute revocation, which can expediently renew users’ attributes to grant or revoke their access rights. Then, we formally prove the security…

  • EMERSK -Explainable Multimodal Emotion Recognition With Situational Knowledge

    IEEE Transactions on Multimedia · 2023-08-10 · 17 citations

    articleSenior author

    Automatic emotion recognition has recently gained significant attention due to the growing popularity of deep learning algorithms. One of the primary challenges in emotion recognition is effectively utilizing the various cues (modalities) available in the data. Another challenge is providing a proper explanation of the outcome of the learning. To address these challenges, we present Explainable Multimodal Emotion Recognition with Situational Knowledge (EMERSK), a generalized and modular system f…

  • A Framework of High-Speed Network Protocol Fuzzing Based on Shared Memory

    IEEE Transactions on Dependable and Secure Computing · 2023-09-25 · 16 citations

    articleSenior author

    In recent years, security test of network protocols based on fuzzing has been attracting more and more attentions. This is very challenging compared with the stateless software fuzzing and most early network protocol fuzzers are of low speed and poor test effect. Since the first greybox and stateful fuzzer named AFLNET was proposed, several new schemes have been designed to improve its performance from different aspects. During the research, a great challenge is how to greatly improve the fuzzin…

  • BioKA-ASVN: Biometric-Based Key Agreement Scheme for Air Smart Vehicular Networks Using Blockchain Service

    IEEE Transactions on Vehicular Technology · 2024-03-21 · 10 citations

    article

    Air Smart Vehicular Networks (ASVNs) have become increasingly essentials in military and commercial industries in recent years, where drones are deployed to interact among each other via wireless medium in airspace due to their agility and versatility. ASVNs can form a closed loop from data perception to final execution by integrating communication devices, computation tools, and control modules. However, the used unencrypted and publicly available navigational signals like Global Positioning Sy…

Recent grants

Frequent coauthors

  • Rajnish Sharma

    Chitkara University

    36 shared
  • Ajay Sharma

    Griffith University

    36 shared
  • Shabana Urooj

    Princess Nourah bint Abdulrahman University

    36 shared
  • Sunder Shyam

    36 shared
  • Jaiprakash Gaur

    Jaypee University of Information Technology

    36 shared
  • Chandigarh Pattnaik

    GLA University

    36 shared
  • Suresh Shanmugasundaram

    36 shared
  • Shri Manoj

    36 shared

Education

  • Ph.D, Electrical and Computer Engineering

    Purdue University

    1974
  • B.E., Electrical Communication Engineering

    Indian Institute of Science

    1969

Awards & honors

  • IEEE Technical Achievement Award (1999)
  • Gold Core Member distinction by the IEEE Computer Society
  • Outstanding Instructor Awards from the Purdue chapter of the…
  • Induction into Purdue's Book of Great Teachers (2003)
  • Helen Schleman Gold Medallion Award (2017)

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