all InfoSec news
PhishGuard: A Convolutional Neural Network Based Model for Detecting Phishing URLs with Explainability Analysis
April 30, 2024, 4:11 a.m. | Md Robiul Islam, Md Mahamodul Islam, Mst. Suraiya Afrin, Anika Antara, Nujhat Tabassum, Al Amin
cs.CR updates on arXiv.org arxiv.org
Abstract: Cybersecurity is one of the global issues because of the extensive dependence on cyber systems of individuals, industries, and organizations. Among the cyber attacks, phishing is increasing tremendously and affecting the global economy. Therefore, this phenomenon highlights the vital need for enhancing user awareness and robust support at both individual and organizational levels. Phishing URL identification is the best way to address the problem. Various machine learning and deep learning methods have been proposed to …
analysis arxiv attacks cs.cr cs.lg cyber cyber attacks cybersecurity cyber systems economy global industries network neural network organizations phishing systems urls
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
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
Vulnerability Research and Reverse Engineer (Onsite)
@ SNC-Lavalin | FL711: Raytheon SI Gov Dixie Hwy 3520 Dixie Highway NE , Palm Bay, FL, 32905 USA
Principal Consultant, Offensive Security
@ Kroll | CDMX, Mexico