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LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge

https://doi.org/10.1007/978-3-031-87496-3_5

Mitra, Shaswata; Neupane, Subash; Chakraborty, Trisha; Mittal, Sudip; Piplai, Aritran; Gaur, Manas; Rahimi, Shahram (January 2025, Springer Nature Switzerland)

Free, publicly-accessible full text available January 1, 2026
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics

https://doi.org/10.1109/CIC62241.2024.00019

Fernandez, Ivan A; Neupane, Subash; Chakraborty, Trisha; Mitra, Shaswata; Mittal, Sudip; Pillai, Nisha; Chen, Jingdao; Rahimi, Shahram (October 2024, IEEE)

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AI_Adaptive_POW: An AI assisted Proof Of Work (POW) framework for DDoS defense

https://doi.org/10.1016/j.simpa.2022.100335

Chakraborty, Trisha; Mitra, Shaswata; Mittal, Sudip; Young, Maxwell (August 2022, Software Impacts)

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A Policy Driven AI-Assisted PoW Framework

https://doi.org/10.1109/DSN-S54099.2022.00023

Chakraborty, Trisha; Mitra, Shaswata; Mittal, Sudip; Young, Maxwell (June 2022, 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN))

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Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs

https://doi.org/10.1109/BigData52589.2021.9671867

Mitra, Shaswata; Piplai, Aritran; Mittal, Sudip; Joshi, Anupam (December 2021, 2021 IEEE International Conference on Big Data (Big Data))

Today there is a significant amount of fake cybersecurity related intelligence on the internet. To filter out such information, we build a system to capture the provenance information and represent it along with the captured Cyber Threat Intelligence (CTI). In the cybersecurity domain, such CTI is stored in Cybersecurity Knowledge Graphs (CKG). We enhance the exiting CKG model to incorporate intelligence provenance and fuse provenance graphs with CKG. This process includes modifying traditional approaches to entity and relation extraction. CTI data is considered vital in securing our cyberspace. Knowledge graphs containing CTI information along with its provenance can provide expertise to dependent Artificial Intelligence (AI) systems and human analysts.
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Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities

https://doi.org/10.1109/ACCESS.2024.3363657

Neupane, Subash; Mitra, Shaswata; Fernandez, Ivan A.; Saha, Swayamjit; Mittal, Sudip; Chen, Jingdao; Pillai, Nisha; Rahimi, Shahram (January 2024, IEEE Access)

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