Sept. 1, 2022, 1:20 a.m. | Cameron Boeder, Troy Januchowski

cs.CR updates on arXiv.org arxiv.org

The ability to detect zero-day (novel) attacks has become essential in the
network security industry. Due to ever evolving attack signatures, existing
network intrusion detection systems often fail to detect these threats. This
project aims to solve the task of detecting zero-day DDoS (distributed
denial-of-service) attacks by utilizing network traffic that is captured before
entering a private network. Modern feature extraction techniques are used in
conjunction with neural networks to determine if a network packet is either
benign or malicious.

attack ddos ddos attack detection zero-day

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Senior InfoSec Manager - Risk and Compliance

@ Federal Reserve System | Remote - Virginia

Security Analyst

@ Fortra | Mexico

Incident Responder

@ Babcock | Chester, GB, CH1 6ER

Vulnerability, Access & Inclusion Lead

@ Monzo | Cardiff, London or Remote (UK)

Information Security Analyst

@ Unissant | MD, USA