Saurabh Kumar

Postdoctoral Scholar

Northwestern University, USA

Biography

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.

Interests

Cyber Security
Android Security
Cyber Forensics
Malware Analysis

Education

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

Experience

Postdoctoral Scholar

Northwestern University

Jan 2022 – Present USA

Teaching Assistantsip

Indian Institute of Technology Kanpur

Dec 2015 – Dec 2022 India

Assistant Programmer

Central Bureau of Investigation

Feb 2013 – Dec 2015 India

Publications

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Vikas Maurya, Rachit Agarwal, Saurabh Kumar, Sandeep Kumar Shukla (2023). EPASAD: Ellipsoid Decision Boundary Based Process-Aware Stealthy Attack Detector. Cybersecurity, Springer. [Q1] (In Press).

Cite

Sumaiya Shaikh, Saurabh Kumar, Debadatta Mishra (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

Saurabh Kumar, Debadatta Mishra, Biswabandan Panda, Sandeep Kumar Shukla (2022). InviSeal: A Stealthy Dynamic Analysis Framework for Android Systems. ACM Journal on Digital Threats: Research and Practice (DTRAP). [Q2].

Cite DOI

Saurabh Kumar, Debadatta Mishra, Biswabandan Panda, Sandeep Kumar Shukla (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

Arun KP, Saurabh Kumar, Debadatta Mishra, Biswabandan Panda (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].

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