all InfoSec news
Early Detection of Network Attacks Using Deep Learning. (arXiv:2201.11628v1 [cs.CR])
Jan. 28, 2022, 2:20 a.m. | Tanwir Ahmad, Dragos Truscan, Juri Vain, Ivan Porres
cs.CR updates on arXiv.org arxiv.org
The Internet has become a prime subject to security attacks and intrusions by
attackers. These attacks can lead to system malfunction, network breakdown,
data corruption or theft. A network intrusion detection system (IDS) is a tool
used for identifying unauthorized and malicious behavior by observing the
network traffic. State-of-the-art intrusion detection systems are designed to
detect an attack by inspecting the complete information about the attack. This
means that an IDS would only be able to detect an attack after …
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
Information Security Engineers
@ D. E. Shaw Research | New York City
Security Solution Architect
@ Civica | London, England, United Kingdom
Information Security Officer (80-100%)
@ SIX Group | Zurich, CH
Cloud Information Systems Security Engineer
@ Analytic Solutions Group | Chantilly, Virginia, United States
SRE Engineer & Security Software Administrator
@ Talan | Mexico City, Spain