April 23, 2024, 4:10 a.m. | Jiongliang Lin, Yiwen Guo, Hao Chen

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.13402v1 Announce Type: new
Abstract: Intrusion detection is a long standing and crucial problem in security. A system capable of detecting intrusions automatically is on great demand in enterprise security solutions. Existing solutions rely heavily on hand-crafted rules designed by security operators, which suffer from high false negative rates and poor generalization ability to new, zero-day attacks at scale. AI and machine learning offer promising solutions to address the issues, by inspecting abnormal user behaviors intelligently and automatically from data. …

arxiv assistance command cs.ai cs.cl cs.cr demand detection enterprise enterprise security great high intrusion intrusion detection language line operators problem rules scale security security solutions solutions system

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

COMM Penetration Tester (PenTest-2), Chantilly, VA OS&CI Job #368

@ Allen Integrated Solutions | Chantilly, Virginia, United States

Consultant Sécurité SI H/F Gouvernance - Risques - Conformité

@ Hifield | Sèvres, France

Infrastructure Consultant

@ Telefonica Tech | Belfast, United Kingdom