May 14, 2024, 4:11 a.m. | Urjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar

cs.CR updates on

arXiv:2405.06772v1 Announce Type: new
Abstract: In today's digital landscape, where cyber attacks have become the norm, the detection of cyber attacks and threats is critically imperative across diverse domains. Our research presents a new empirical framework for cyber threat modeling, adept at parsing and categorizing cyber-related information from news articles, enhancing real-time vigilance for market stakeholders. At the core of this framework is a fine-tuned BERT model, which we call CANAL - Cyber Activity News Alerting Language Model, tailored for …

alerting arxiv attacks cyber cyber activity cyber attacks cyber threat detection digital digital landscape domains framework information language llm modeling parsing research threat threat modeling threats today

Sr. Product Manager

@ MixMode | Remote, US

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

Security Operations Analyst, Senior

@ Booz Allen Hamilton | USA, WV, Clarksburg (1000 Custer Hollow Rd)

Security Solution Consultant

@ Genesys | Durham (Flexible)