Sanjeev Das

About Me

Recently I joined IBM Research. I was a Postdoctoral Research Associate in the Department of Computer Science at the University of North Carolina at Chapel Hill under the supervision of Professor Fabian Monrose.
My research interests revolve around software and system security: exploit detection, vulnerability detection, malware analysis, program analysis and reverse engineering.

Work Experience

Education

CVE

Publications

  1. SoK: The Challenges, Pitfalls, and Perils of Using Hardware Performance Counters for Security
    Sanjeev Das, Jan Werner, Manos Antonakakis, Michalis Polychronakis, and Fabian Monrose.
    In Proceedings of the 40th IEEE Symposium on Security & Privacy (S&P). May 2019, San Francisco, CA.
  2. iGPU Leak: An Information Leakage Vulnerability on Intel Integrated GPU
    Wenjian He, Wei Zhang, Sharad Sinha and Sanjeev Das In Proceedings of the 25th Asia and South Pacific Design Automation Conference (ASP-DAC'20).
  3. SGXlinger: A New Side-channel Attack Vector Based on Interrupt Latency against Enclave Execution
    Wenjian He, Wei Zhang, Sanjeev Das and Yang Liu.
    In 36th IEEE International Conference on Computer Design (ICCD), 2018.
  4. ROPSentry: Runtime Defense against ROP Attacks using Hardware Performance Counters
    Sanjeev Das, Chen Bihuan, Mahintham Chandramohan, Yang Liu, and Wei Zhang.
    Computers & Security 73, 374-388 (2018). Impact Factor 2.849.
  5. No-Jump-into-Basic-Block: Enforce Basic Block CFI on the Fly for Real-world Binaries (Best paper nomination)
    Wenjian He, Sanjeev Das, Wei Zhang, Yang Liu.
    In Proceedings of Design Automation Conference (DAC) (Best paper nomination), 2017.
  6. Semantics-based Online Malware Detection: Towards Efficient Real-time Protection Against Malware
    Sanjeev Das, Yang Liu, Wei Zhang and Mahintham Chandramohan.
    IEEE Transactions on Information Forensics and Security (TIFS) 11.2 (2016): 289-302. Impact Factor 5.824.
  7. A Fine-Grained Control Flow Integrity Approach Against Runtime Memory Attacks for Embedded Systems
    Sanjeev Das, Wei Zhang, and Yang Liu.
    IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 24.11 (2016): 3193-3207. Impact Factor 1.744.
  8. Online Malware Defense Using Attack Behavior Model
    Sanjeev Das, Hao Xiao, Yang Liu, Wei Zhang.
    In Proceedings of IEEE International Symposium on Circuits & Systems (ISCAS), 2016.
  9. Reconfigurable Dynamic Trusted Platform Module for Control Flow Checking
    Sanjeev Das, Wei Zhang, Yang Liu.
    In Proceedings of IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2014.
  10. FPGA Based Control Flow Checking
    Sanjeev Das, Wei Zhang, Yang Liu.
    In Proceedings of Design Automation Conference (DAC), 2014 (poster).

Technology Disclosure

  1. Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware.
    Yang Liu, Thambipillai Srikanthan, Sanjeev Das.
    Technology Disclosure for Nanyang Technological University (TD/098/16), 2016.
  2. Malware Defense Using Attack Behavior Model.
    Yang Liu, Thambipillai Srikanthan, Sanjeev Das.
    Technology Disclosure for Nanyang Technological University (TD/099/16), 2016.
  3. Runtime Security Protection Using Hardware Specific Features.
    Yang Liu, Thambipillai Srikanthan, Sanjeev Das.
    Technology Disclosure for Nanyang Technological University (TD/100/16), 2016.

Professional Services

Conference Reviewer

Journal Reviewer

External Reviewer

Awards & Scholarship