| Title | Human-in-the-Loop XAI-enabled Vulnerability Detection, Investigation, and Mitigation |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Nguyen, Tien N., Choo, Raymond |
| Conference Name | 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) |
| Keywords | Analytical models, artificial intelligence, Computational modeling, explainable AI, Forensics, human in the loop, Human intelligence, Human-in-the-Loop, investigation, Man-machine systems, mitigation, pubcrawl, Scalability, security, vulnerability detection |
| Abstract | The need for cyber resilience is increasingly important in our technology-dependent society, where computing systems, devices and data will continue to be the target of cyber attackers. Hence, we propose a conceptual framework called 'Human-in-the-Loop Explainable-AI-Enabled Vulnerability Detection, Investigation, and Mitigation' (HXAI-VDIM). Specifically, instead of resolving complex scenario of security vulnerabilities as an output of an AI/ML model, we integrate the security analyst or forensic investigator into the man-machine loop and leverage explainable AI (XAI) to combine both AI and Intelligence Assistant (IA) to amplify human intelligence in both proactive and reactive processes. Our goal is that HXAI-VDIM integrates human and machine in an interactive and iterative loop with security visualization that utilizes human intelligence to guide the XAI-enabled system and generate refined solutions. |
| DOI | 10.1109/ASE51524.2021.9678840 |
| Citation Key | nguyen_human–-loop_2021 |
Human-in-the-Loop XAI-enabled Vulnerability Detection, Investigation, and Mitigation