
Bharat Bhargava
Purdue University · Computer Science
Active 1971–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
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
IEEE Transactions on Information Forensics and Security · 2021-01-01 · 75 citations
articleOpen accessSenior authorThe 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…
IEEE Transactions on Services Computing · 2020-02-11 · 53 citations
articleSenior authorIn 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 authorAutomatic 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 authorIn 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…
IEEE Transactions on Vehicular Technology · 2024-03-21 · 10 citations
articleAir 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
ITR: Scalable Edge Router for Differentiated Services Networks
NSF · $430k · 2002–2008
Vulnerability Analysis and Threat Assessment/Avoidance
NSF · $217k · 2003–2009
NSF · $334k · 2000–2007
Frequent coauthors
- 36 shared
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
Education
- 1974
Ph.D, Electrical and Computer Engineering
Purdue University
- 1969
B.E., Electrical Communication Engineering
Indian Institute of Science
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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