Saurabh Kumar

Saurabh Kumar

Postdoctoral Scholar

Northwestern University, USA


Saurabh Kumar is currently a Postdoctoral Scholar at Department of Computer Science, McCormick School of Engineering, Northwestern University, USA. At Northwestern University, he is working with V.S. Subrahmanian.

Saurabh Kumar has completed his PhD from Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, advised by Sandeep Kumar Shukla at IIT Kanpur and Biswabandan Panda at IIT Bombay. His research interests include cyber security, Android security, malware analysis and cyber forensics.

Before joining IIT Kanpur, he served as an Assistant Programmer with the Central Bureau of Investigation, India. In CBI, his work revolved around Cyber Crime and Cyber Forensics along with the management of information technology related activities of the Department.

  • Cyber Security
  • Android Security
  • Cyber Forensics
  • Malware Analysis
  • PhD in Android Security, Dec 2015 - Dec 2022

    Indian Institute of Technology Kanpur

  • M.Tech. in Information Technology, 2012

    Indian Institute of Technology Roorkee

  • Master of Computer Application, 2010

    Graphic Era Institute of Technology Dehradun (Uttarakhand Technical University)

  • B.Sc. in Computer Science, 2007

    Dr. Bhimrao Ambedkar University, Agra


Postdoctoral Scholar
Jan 2022 – Present USA
Teaching Assistantsip
Dec 2015 – Dec 2022 India
Assistant Programmer
Feb 2013 – Dec 2015 India


Quickly discover relevant content by filtering publications.
(2023). EPASAD: Ellipsoid Decision Boundary Based Process-Aware Stealthy Attack Detector. Cybersecurity, Springer. [Q1] (In Press).


(2023). KalpaVriksh: Efficient and Cost-effective GUI Application Hosting using Singleton Snapshots. The 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid-2023). [Core: A Ranked ].

Cite DOI

(2022). InviSeal: A Stealthy Dynamic Analysis Framework for Android Systems. ACM Journal on Digital Threats: Research and Practice (DTRAP). [Q2].

Cite DOI

(2022). AndroOBFS: Time-tagged Obfuscated Android Malware Dataset with Family Information. 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR-2022). [Core: A Ranked].

Preprint Cite Dataset Slides Video DOI

(2022). SniP: An Efficient Stack Tracing Framework for Multi-threaded Programs. 2022 IEEE/ACM 19th International Conference on Mining Software Repositories (MSR-2022). [Core: A Ranked].

Preprint Cite Code DOI


Mobile Security: Android Malware Analysis
Mobile Security: Android
Mobile Forensics and Challenges
Mobile Forensics and Challenges: Perspective of Indian Investigators
Security of Mobile Platforms: Android Security