IoTFlow: Inferring IoT Device Behavior at Scale through Static Mobile Companion App Analysis
David Schmidt, Carlotta Tagliaro, Kevin Borgolte, Martina Lindorfer
Abstract
The number of "smart'' devices, that is, devices making up the Internet of Things (IoT), is steadily growing. They suffer from vulnerabilities just as other software and hardware. Automated analysis techniques can detect and address weaknesses before attackers can misuse them. Applying existing techniques or developing new approaches that are sufficiently general is challenging though. Contrary to other platforms, the IoT ecosystem features various software and hardware architectures.
Topics & Concepts
Computer scienceInternet of ThingsSoftwareMobile deviceEmbedded systemScale (ratio)Computer securityMobile appsWorld Wide WebOperating systemPhysicsQuantum mechanicsAdvanced Malware Detection TechniquesNetwork Security and Intrusion DetectionDigital and Cyber Forensics