FedITD: A Federated Parameter-Efficient Tuning with Pre-trained Large Language Models and Transfer Learning Framework for Insider Threat Detection

ZQ Wang, H Wang, A El Saddik - IEEE Access, 2024 - ieeexplore.ieee.org
These Recent statistics and studies indicate that losses resulting from insider threats far
exceed those from external attacks. Consequently, many organizations are investing in or …

SentinelGuard: An Integration of Intelligent Text Data Loss Prevention Mechanism for Organizational Security (I-ITDLP)

VK Kaliappan, UP Dharunkumar… - 2024 International …, 2024 - ieeexplore.ieee.org
In today's digital landscape, Data Loss Prevention (DLP) is crucial for safeguarding sensitive
information. Organizations rely on third-party DLP solutions like Symantec Web Security …

Enhancing Insider Threat Detection Using User-Based Sequencing and Transformer Encoders

M Elbasheer - 2024 - search.proquest.com
The increasing prevalence of insider threats and their costly impact have garnered
considerable attention from researchers and security practitioners alike. According to the" …

Utilizing Generative Artificial Intelligence to enhance Cyber Resilience in Cyber Supply Chain Management

AZ Márton - 2024 - essay.utwente.nl
This thesis addresses critical challenges in supply chain management by focusing on the
enhancement of cyber resilience and visibility through the integration of N-tier mapping and …