Hi, I'm Rathan Appana

Junior Research Fellow, NeWS Lab — IIT Hyderabad

I'm a Junior Research Fellow in the Network and Systems Security (NeWS) Lab, Department of CSE, IIT Hyderabad, working on network security and cybersecurity research.

Previously, I was a Visiting Scholar Researcher at KU Leuven, Belgium, in the DistriNet Research Unit under Prof. Mathy Vanhoef, and I hold an MSc in Information and Network Engineering (Networked Systems Security) from KTH Royal Institute of Technology.

I'm passionate about wireless security, secure network protocols, and Linux kernel development, and about building privacy-focused, resilient network infrastructure.

Rathan Appana

Current Role — Junior Research Fellow, NeWS Lab, IIT Hyderabad

I work in the Network and Systems Security (NeWS) Lab, Department of Computer Science and Engineering at IIT Hyderabad, under Prof. Bheemarjuna Reddy Tamma. My research centers on network security and cybersecurity, along two main threads:

Previously — Visiting Scholar Researcher, KU Leuven

I worked under Prof. Mathy Vanhoef in the DistriNet Research Unit on privacy and security enhancements for enterprise WPA2/3 networks, including certificate validation issues and Trust-On-First-Use authentication for enterprise Wi-Fi.

Publications

Secure Trust On First Use for Enterprise Wi-Fi: Design Guidelines and Linux Implementation
Rathan Appana, Mathy Vanhoef
Proceedings of the 19th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '26), Germany, 2026, pp. 97–102
doi: 10.1145/3765613.3811682
Keywords: 802.1X, WPA Enterprise, PEAP, TOFU, Linux, NetworkManager
Measuring and Preventing Certificate Misconfigurations in Enterprise WPA2/3 Networks
Rathan Appana, Mathy Vanhoef
2025 9th Cyber Security in Networking Conference (CSNet), Abu Dhabi, United Arab Emirates, 2025, pp. 1-5
doi: 10.1109/CSNet67572.2025.11288146
Keywords: Operating systems, Linux, Authentication, Passwords, User interfaces, WPA2, WPA3, Enterprise, Certificate Validation, Trust On First Use, Anonymous Identity

Education

Master of Science in Networked System Security
KTH Royal Institute of Technology, Stockholm, Sweden Aug 2022 – Nov 2024

Specializing in Networked Systems with a focus on Wireless Security and Privacy-Enhancing Technologies. Key courses included Building Networked Systems Security, Wireless Networks, and Ethical Hacking, providing a comprehensive understanding of secure communication protocols and privacy challenges in modern networks.

Bachelor of Technology in Electronics and Communication Engineering
Amrita Vishwa Vidyapeetham, Bangalore, India Jul 2019 – Jul 2023

Gained a solid foundation in Wireless Communication and Network Protocols, complemented by hands-on projects. Key courses included Wireless Communication, Computer Networks, and Radio Frequency Engineering.

Projects

Enhancing Privacy in Wireless Communications: AP-Initiated Dynamic MAC Address Re-Randomization

MSc Thesis, KTH Royal Institute of Technology, Stockholm, Sweden Mar 2024 – Nov 2024

Modern wireless networks rely on MAC addresses for device identification, but once a device completes authentication, its MAC address remains static, making it susceptible to long-term tracking. My research proposes an AP-triggered MAC re-randomization protocol, ensuring that MAC addresses change dynamically even after key negotiation, mitigating tracking risks while preserving seamless connectivity.

Read more

To validate this approach, I implemented kernel-level modifications in mac80211 and conducted extensive simulations using Mininet-WiFi, mac80211_hwsim, and wmediumd. Results showed that without re-randomization, devices were 100% trackable in all network conditions. With the proposed AP-triggered scheme, MAC linkability was reduced from 100% (1 station) to 15% (11 stations), making large-scale device tracking infeasible. Performance evaluations demonstrated minimal overhead, with an average UDP packet loss below 0.1% and stable throughput (~30 Mbps), confirming the protocol's practical feasibility.

This work bridges the gap between security research and real-world implementation, providing a lightweight, scalable solution to improve WiFi privacy at scale. Future work includes hardware validation, adaptive re-randomization intervals, and exploring AI-driven anomaly detection to counter evolving tracking techniques.

Enterprise Network Penetration Testing (Capture The Flag)

Course Project, KTH Royal Institute of Technology Aug 2023 – Oct 2023

Conducted a penetration test on a simulated corporate network, exploiting vulnerabilities in web applications, databases, and network services. Captured 20+ security flags through reconnaissance, password cracking, SQL injection, remote code execution, and privilege escalation. Compromised Windows and Linux environments using Metasploit, Hydra, Burp Suite, SQLMap, and Mimikatz, reflecting industry-standard red teaming methodologies including post-exploitation, lateral movement, and credential dumping.

Scalable and Secure Network Infrastructure for Distributed Offices

Course Project, KTH Royal Institute of Technology Jan 2023 – Mar 2023

As part of the Building Networked Systems Security (BNSS) course at KTH, this project involved designing and implementing a robust, enterprise-level secure network infrastructure for ACME Scandinavia — providing secure remote access, identity-based authentication, intrusion detection, and encrypted communication across distributed office branches.

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The solution used a layered security approach. A site-to-site OpenVPN tunnel connected the Stockholm and London branches with encrypted traffic, while remote workers used certificate-based authentication via FreeRADIUS to prevent unauthorized access.

To protect against network intrusions, two SNORT instances monitored both physical network traffic and VPN connections for real-time detection of malicious activity, with alerts logged and analyzed via Wireshark.

The system also featured a reverse proxy with strict firewall rules, a self-hosted Nextcloud instance protected by two-factor authentication for secure file exchange, and Secure DNS (DoH via Cloudflare) to mitigate DNS spoofing.

Key outcome: a scalable, high-security enterprise network that prevented unauthorized access, secured sensitive data, and allowed seamless remote access without compromising security.

Facial Recognition-Based Classroom Attendance System

B.Tech Thesis, Amrita Vishwa Vidyapeetham, Bangalore, India Feb 2022 – Jul 2022

Developed an automated attendance system using facial recognition and OpenCV, implemented as a product within the university to streamline attendance tracking efficiently.

Skills

Research Areas

  • Network Security
  • Wireless Security
  • Wi-Fi Protocol Fuzzing
  • Ransomware Testbeds
  • Network-Aware Teleoperation
  • Privacy-Enhancing Technologies
  • Linux Kernel Development

Programming Languages

  • C
  • C++
  • Python
  • Bash

Networking & Security

  • Network Protocols
  • Network Configuration & Troubleshooting
  • Firewalls
  • VPNs
  • IDS / IPS
  • Encryption
  • Penetration Testing
  • Risk Management

Tools & Platforms

  • Linux
  • Wireshark
  • SSH
  • Git
  • Docker
  • VirtualBox / VMware
  • Mininet-WiFi
  • wmediumd
  • Cisco Packet Tracer

Other

  • Team Collaboration
  • Project Management
  • Technical Documentation

Get In Touch

I'd love to hear from you! Whether you have a question, feedback, or just want to connect, feel free to send me a message below.