Anand Mudgerikar
Computer Science · Purdue University West Lafayette
Publications
17
Citations
532
Est. group size
~2
Recurring co-author estimate
Active years
12
Publishing since 2014
Anand Mudgerikar's research focuses on cybersecurity for computer networks and connected devices, particularly the Internet of Things (IoT), which refers to everyday devices like sensors and appliances that connect to the internet. Much of the work involves designing systems to detect intrusions, malware, and attacks (such as ransomware, a type of malicious software that locks or encrypts data for extortion) in IoT devices and software-defined networks, sometimes using machine learning techniques like reinforcement learning. More recent work extends into evaluating AI language models for cybersecurity investigation tasks.
Publication output has been relatively steady but modest over the past decade, averaging about one paper per year over the last five years without a clear upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
arXiv (Cornell University) · 2025
- Intelligent Security Aware Routing: Using Model-Free Reinforcement Learning
2023
- An Infection-Identifying and Self-Evolving System for IoT Early Defense from Multi-Step Attacks
Lecture notes in computer science · 2022
- Intrusion Detection Systems for IoT
2022
- A Security-Constrained Reinforcement Learning Framework for Software Defined Networks
2021
- IoT Attacks and Malware
2021
- Reinforcement and transfer learning for distributed analytics in fragmented software defined coalitions
2021
- Jarvis: Moving Towards a Smarter Internet of Things
2020
- Edge-Based Intrusion Detection for IoT devices
ACM Transactions on Management Information Systems · 2020
- E-Spion
2019
- RWGuard: A Real-Time Detection System Against Cryptographic Ransomware
Lecture notes in computer science · 2018
- Heimdall: Mitigating the Internet of Insecure Things
IEEE Internet of Things Journal · 2017
- Real-Time Digital Signatures for Time-Critical Networks
IEEE Transactions on Information Forensics and Security · 2017
- Kalis — A System for Knowledge-Driven Adaptable Intrusion Detection for the Internet of Things
2017
- Lecture notes in computer science×2
- IEEE Internet of Things Journal×1
- IEEE Transactions on Information Forensics and Security×1
- ACM Transactions on Management Information Systems×1
- ACM Transactions on Internet of Things×1
- Bharat Bhargava
Computer Science · Purdue University West Lafayette
- Upinder Kaur
Computer Science · Purdue University West Lafayette
- Ankit Shah
Computer Science · Indiana University
- Charalampos Katsis
Computer Science · Purdue University West Lafayette
- Xiaofeng Wang
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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