Yuba Siwakoti

Dr. Yuba Raj Siwakoti has received a PhD in Cybersecurity and Machine Learning from Howard University, Washington DC, USA. Dr. Siwakoti received a Master of Science in Network and System Administration from University of Oslo, Norway and Bachelor of Computer engineering from Punchwork Campus, Tribhuvan University, Nepal. Prior to joining CWU, he worked about 15 years in teaching and research in Nepal, Norway and USA. His current research includes Cybersecurity and machine learning including Anomaly detection, Zero-Day attack detection, Vulnerability and Exploit assessment and working on countermeasures to make systems and infrastructure more secure. Previously, he worked in Mobile Broadband measurement and analysis

Research

Dr. Siwakoti's research focuses on AI-Driven Cybersecurity: leveraging AI for better cybersecurity, using AI/ML for cyber-resilient systems, and investigating fairness, explainability, security issues in AI models. He has also been working in anomaly detection, vulnerability assessment, and predicting compromised infrastructure.

Publications

Journal Articles

[2024]

• Your IP Camera Can Be Abused for Payments: A Study of IoT Exploitation for Financial Services Leveraging Shodan and Criminal Infrastructures, IEEE Transactions on Consumer Electronics, 2024

[2023]

• Advances in IoT Security: Vulnerabilities, Enabled Criminal Services, Attacks and Countermeasures, IEEE Internet of Things Journal, 2023

[2016]

• The good, the bad and the implications of profiling mobile broadband coverage, Computer Networks 107 (2016): 76-93

Conferences and Workshops

[2025]

• Yuba R. Siwakoti, Danda B. Rawat, Sooie-Hoe Loke, AD-GAM: Anomaly Detection in IoT using Generative AI Models, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, SPIE, 2025
• Bimal Ghimire, Danda B. Rawat and Yuba Raj Siwakoti, “Blockchain and Smart Contract-Based Framework for Crowdsourcing Computation in Web 3.0”, IEEE MetaCom, 2025

[2024]

• Yuba R. Siwakoti, Danda B. Rawat, “Detecting Malicious Traffic using JA3 Fingerprints Attributed ML Approach”, IEEE ICDCS, 2024

[2023]

• Yuba R. Siwakoti, Danda B. Rawat, “Investigating Security Vulnerability Related to Exposure and TLS Ecosystem in Internet of Things”, IEEE IRI, 2023
• Yuba R. Siwakoti, Danda B. Rawat, “Detect-IoT: A Comparative Analysis of Machine Learning Algorithms for Detecting Compromised IoT Devices”, ACM MobiHoc AIoT, 2023
• Manish Bhurtel, Yuba R. Siwakoti, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca, Daniel O. Rice, “Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment", 2023 IEEE International Conference on Machine Learning and Applications (ICMLA)

[2022]

• Manish Bhurtel, Yuba Raj Siwakoti, Danda B. Rawat, "Phishing Attack Detection with ML-Based Siamese Empowered ORB Logo Recognition and IP Mapper", IEEE INFOCOM Workshops, 2022

[2016]

• Lutu, Andra, Yuba Raj Siwakoti, Özgü Alay, Dziugas Baltrunas, and Ahmed Elmokashfi. "Profiling Mobile Broadband Coverage." In TMA. 2016

[2014]

• Yuba Raj Siwakoti, “Measuring Performances of Mobile Broadband Networks Under Mobility”, 2014, UIO: DUO.

Personal Academic Website

Linkedin

Google Scholar

My advice to students

• Find the topics or areas that motivate you.
• Set the objectives/goals accordingly.
• Work progressively to achieve the goals.
• Remember, learning is an iterative process that takes time and require failure(s).
• Accept that failing is normal, practice failing and try to fail forward which ultimately pave the way for success.

Courses Teaching/Taught:

• CS 430 Cybersecurity
• CS 448 Secure Software Development
• CS 452 Ethical Hacking and Pentesting
• CS 410 Incident Response and Recovery
• CS 112 Introduction to Datascience with Python
• CS 109 Quatitaive Reasoning in Python
• CS 110 Programming Fundamentals I
• CS 111 Programming Fundamentals II