activity
20132026
most citedThinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs

33 citations · 232 across the 36 of their papers we have counts for

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Showing 2023 · cs.CRShow all

7 papers · 2 filters

cs.CR2023★ 8 cited

Systemic Risk and Vulnerability Analysis of Multi-cloud Environments

Morgan Reece, Theodore Edward Lander, Matthew Stoffolano +4

With the increasing use of multi-cloud environments, security professionals face challenges in configuration, management, and integration due to uneven security capabilities and fe…

cs.CR2023★ 14 cited

Impacts and Risk of Generative AI Technology on Cyber Defense

Subash Neupane, Ivan A. Fernandez, Sudip Mittal +1

Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of autonomously producing highly realistic content in various domains, such as text, images,…

cs.CR2023★ 2 cited

Survey of Malware Analysis through Control Flow Graph using Machine Learning

Shaswata Mitra, Stephen A. Torri, Sudip Mittal

Malware is a significant threat to the security of computer systems and networks which requires sophisticated techniques to analyze the behavior and functionality for detection. Tr…

cs.CR2023

REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response

Damodar Panigrahi, William Anderson, Joshua Whitman +2

Automated Intelligent Cyberdefense Agents (AICAs) that are part Intrusion Detection Systems (IDS) and part Intrusion Response Systems (IRS) are being designed to protect against so…

cs.CR2023

Explainable Intrusion Detection Systems Using Competitive Learning Techniques

Jesse Ables, Thomas Kirby, Sudip Mittal +4

The current state of the art systems in Artificial Intelligence (AI) enabled intrusion detection use a variety of black box methods. These black box methods are generally trained u…

cs.CR2023★ 3 cited

AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce

Sudip Mittal, Jingdao Chen

Robotics, automation, and related Artificial Intelligence (AI) systems have become pervasive bringing in concerns related to security, safety, accuracy, and trust. With growing dep…

cs.CR2023

CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense

Trisha Chakraborty, Shaswata Mitra, Sudip Mittal

Critical servers can be secured against distributed denial of service (DDoS) attacks using proof of work (PoW) systems assisted by an Artificial Intelligence (AI) that learns conte…