IEEE

The Evolution of Provenance-Based Intrusion Detection Systems: A Review of Approaches, Limitations, and Future Directions

Abstract: The provenance graph, due to its ability to fully preserve historical information within a host, has been extensively studied and applied in the field of host intrusion detection. Such ...
Bleeping Computer

Turning IBM QRadar Alerts into Action with Criminal IP

Criminal IP (criminalip.io), the AI-powered threat intelligence and attack surface intelligence platform, is now integrated with IBM QRadar SIEM and QRadar SOAR. The integration brings external, ...
Android Police

This long-due Android 16 Advanced Protection feature is ready for rollout

Karandeep Singh Oberoi is a Durham College Journalism and Mass Media graduate who joined the Android Police team in April 2024, after serving as a full-time News Writer at Canadian publication ...
Long Island Press

Foundation to host gala to accelerate early detection of pancreatic cancer

To help accelerate early detection of pancreatic cancer, the PRECEDE Foundation will host its inaugural Light the Way Gala on Tuesday, Oct. 28 at Tribeca 360º in New York City. The event will unite ...
IEEE

HASGDetector: An Effective Host-Based Intrusion Anomaly Detection Framework with Large-Scale Attribute Heterogeneous Graphs

Abstract: With the widespread adoption of consumer electronic devices, host-based attack methods have become increasingly diverse, including malware implantation, advanced persistent threats (APTs), ...
Scientific Research Publishing

Yin, C.L., Zhu, Y.F., Fei, J.L. and He, X.Z. (2017) A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks. IEEE Access, 5, 21954-21961.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...