Pranshu Bajpai

Pranshu Bajpai

Security Architect

Motorola Solutions

About

Dr. Pranshu Bajpai has research interests in systems security, malware, digital forensics, and threat intelligence. He has authored several papers for reputed magazines and journals including IEEE, Elsevier, ACM, and ISACA. His work has been featured in various media outlets including Scientific American, The Conversation, Salon, Business Standard, Michigan Radio, GCN, GovTech, and others. He is an active speaker at conferences and has spoken at APWG eCrime, DEFCON, GrrCon, Bsides, ToorCon, and many others. He obtained his Ph.D. in Computer Science from Michigan State University and MS in Information Security from Indian Institute of Information Technology.

Interests

  • Systems Security
  • Cloud Security
  • Malware Analysis
  • Digital Forensics
  • Threat Hunting
  • Data Science

Education

  • PhD, Computer Science, 2020

    Michigan State University

  • MS, Information Security, 2014

    Indian Institute of Information Technology

  • MBA, Marketing, 2012

    Prestige Institution of Management and Research

Publications

(2020). An Empirical Study of Key Generation in Cryptographic Ransomware. In 2020 IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

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(2020). Attacking Key Management in Ransomware (IEEE). In IEEE IT Professional.

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(2020). Dissecting .NET ransomware: key generation, encryption and operation (Elsevier). In Network Security (Elsevier).

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(2020). Memory Forensics Against Ransomware. In 2020 IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

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(2020). Ransomware Targeting Automobiles (ACM). In Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security.

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(2020). Towards Effective Identification and Rating of Automotive Vulnerabilities (ACM). In AutoSec20 - Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security.

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(2019). BATSense: Anomalous Security Event Detection using TBATS Machine Learning (IEEE). In 2019 IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

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(2018). A Key-Management-Based Taxonomy for Ransomware (IEEE). In 2018 IEEE APWG Symposium on Electronic Crime Research (eCrime).

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(2018). Evidential Study of Ransomware: Cryptoviral Infections and Countermeasures (ISACA). In ISACA Journal.

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(2018). The Art of Mapping IoT Devices in Networks (Elsevier). In Network Security (Elsevier).

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