all InfoSec news
Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
April 18, 2024, 4:11 a.m. | Wadid Foudhaili, Anouar Nechi, Celine Thermann, Mohammad Al Johmani, Rainer Buchty, Mladen Berekovic, Saleh Mulhem
cs.CR updates on arXiv.org arxiv.org
Abstract: Intrusion detection systems (IDS) are crucial security measures nowadays to enforce network security. Their task is to detect anomalies in network communication and identify, if not thwart, possibly malicious behavior. Recently, machine learning has been deployed to construct intelligent IDS. This approach, however, is quite challenging particularly in distributed, highly dynamic, yet resource-constrained systems like Edge setups. In this paper, we tackle this issue from multiple angles by analyzing the concept of intelligent IDS (I-IDS) …
arxiv communication cs.ar cs.cr cs.lg cs.ni detect detection edge hardware identify ids intrusion intrusion detection machine machine learning malicious malicious behavior network network communication network security security security measures systems task
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Emergency Management Invoice Compliance Reviewer
@ AC Disaster Consulting | Denver, Colorado, United States - Remote
Threat Intelligence Librarian
@ Microsoft | Cheltenham, Gloucestershire, United Kingdom
Cyber Content Operations Manager - Remote in UK
@ Immersive Labs | United Kingdom
(Junior) Security Engineer (m/w/d)
@ CHECK24 | Berlin, Germany
Cyber Security
@ Necurity Solutions | Bengaluru, Karnataka, India