March 10, 2022, 2:20 a.m. | Antoine d'Estalenx, Carlos H. Gañán

cs.CR updates on arXiv.org arxiv.org

Traditional techniques to detect malware infections were not meant to be used
by the end-user and current malware removal tools and security software cannot
handle the heterogeneity of IoT devices. In this paper, we design, develop and
evaluate a tool, called NURSE, to fill this information gap, i.e., enabling
end-users to detect IoT-malware infections in their home networks. NURSE
follows a modular approach to analyze IoT traffic as captured by means of an
ARP spoofing technique which does not require …

detection end homes iot iot malware malware malware detection nurse smart smart homes tool

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Professional Services Resident Consultant / Senior Professional Services Resident Consultant - AMS

@ Zscaler | Bengaluru, India

Head of Security, Risk & Compliance

@ Gedeon Richter Pharma GmbH | Budapest, HU

Unarmed Professional Security Officer - County Hospital

@ Allied Universal | Los Angeles, CA, United States

Senior Software Engineer, Privacy Engineering

@ Block | Seattle, WA, United States

Senior Cyber Security Specialist

@ Avaloq | Bioggio, Switzerland