Dilli Sharma's home page

Hi, I’m Dilli Sharma!

I am currently a Postdoctoral Researcher at York University, Toronto, Canada, and previously held similar positions at the University of Toronto and the University of New Brunswick, Canada. I earned my Ph.D. in Computer Science from the University of Canterbury, Christchurch, New Zealand.

My research focuses on Cybersecurity and Artificial Intelligence, including:

• Secure, proactive, and adaptive cyber defense strategies

• Privacy-preserving and trustworthy AI technologies

• Adversarial machine learning

• AI applications in public safety and urban systems

• IoT security

• Security metrics and optimization

I am passionate about advancing secure, responsible, and privacy-preserving AI solutions and applying my research to enhance the safety, resilience, and intelligence of computing systems.

Recently Published/Accepted Papers/Books:

Sharma, D.P., Beigi-Mohammadi, Soni, P., Madro, R., Emmenegger, P., Tobar, C., Li, J., and Leon-Garcia, A., "A Machine Learning Framework for Fire Risk Prediction with Response and Proximity Insights," IEEE Access, vol. 13, pp. 149620-149636, 2025, doi: 10.1109/ACCESS.2025.3602259, URL:https://ieeexplore.ieee.org/document/11136115

Sharma, D.P. Evaluating Moving Target Defense Methods Using Time to Compromise and Security Risk Metrics in IoT Networks. Electronics 2025, 14, 2205. https://doi.org/10.3390/electronics14112205

Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar, Pulei Xiong, “Understanding AI in Cybersecurity and Secure AI: Challenges, Strategies and Trends”, ISBN: 978-3-031-91523-9, Publisher Springer Cham, 2025, URL:https://link.springer.com/book/9783031915239

Dilli Prasad Sharma, Arash Habibi Lashkari, Mona Parizadeh, "Understanding Cybersecurity Management in Healthcare: Challenges, Strategies and Trends", ISBN: 978-3-031-68033-5 Publisher Springer Cham, 2024. DOI: https://doi.org/10.1007/978-3-031-68034-2

Sharma, D.P., Beigi-Mohammadi, N., Geng, H., Dixon, D., Madro, R., Emmenegger, P., Tobar, C., Li, J. and Leon-Garcia, A.,  "Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events in the City of Edmonton",   IEEE Access, vol. 12, pp. 56880-56909, 2024, doi:10.1109/ACCESS.2024.3390089. https://ieeexplore.ieee.org/document/10504282

He, X.; Lashkari, A.H.; Vombatkere, N.; Sharma, D.P. Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. Information 2024, 15, 131. https://doi.org/10.3390/info15030131

Niktabe, S., Lashkari, A.H. and Sharma, D.P. Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition. Int. J. Inf. Secur. 23, 1293–1316 (2024). https://doi.org/10.1007/s10207-023-00790-z

D. P. Sharma, B. Kaur, F. Shoeleh, M. Erfani, DP. Le, A. H. Lashkari, and A. A. Ghorbani, "Adaptive User Profiling with Online Incremental Machine Learning for Security Information and Event Management ",  The Fifteenth International Conference on Emerging Security Information, Systems and Technologies  (SECURWARE 2021 ), Athens, Greece, 2021, pp. 82-87. [download link]

D. P.  Sharma, S. Y.  Enoch, J. H.  Cho, T. J. Moore, F. F. Nelson, H. Lim,  and D. S.  Kim,  "Dynamic Security Metrics for Software-Defined Network-based Moving Target Defense", Journal of Network and Computer Applications, 2020. https://doi.org/10.1016/j.jnca.2020.102805 

J.H. Cho, D. P. Sharma, H. Alavizadeh, S. H. Yoon, N. Ben-Asher, T. J. Moore, D. S. Kim, H. Lim, and F. F. Nelson,  "Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense'', in  IEEE Communications Surveys and Tutorials, vol. 22, no. 1, pp. 709-745, Firstquarter 2020. DOI: 10.1109/COMST.2019.2963791  

D. P.  Sharma, J. Cho, T. J. Moore, F. F. Nelson, H. Lim and D. S. Kim, "Random Host and Service Multiplexing for Moving Target Defense in Software-Defined Networks," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-6. DOI: 10.1109/ICC.2019.8761496 

D. P. Sharma, D. S. Kim, S. Yoon, H. Lim, J. Cho and T. J. Moore, "FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks," 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/ 12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), New York, NY, 2018, pp. 579-587. DOI: 10.1109/TrustCom/BigDataSE.2018.00088 

C. Dishington, D. P. Sharma, D. S. Kim, J. Jin-Hee, T. J. Moore and F. F. Nelson, "Security and Performance Assessment of IP Multiplexing Moving Target Defence in Software Defined Networks," 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), Rotorua, New Zealand, 2019, pp. 288-295. DOI: 10.1109/TrustCom/BigDataSE.2019.00046

Click here to find the complete list of publications in Google Scholar