A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets

Abstract

e Internet of ings (IoT) introduced the opportunity of remotely manipulating home appliances (such as heating systems, ovens, blinds, etc.) using computers and mobile devices. is idea fascinated people and originated a boom of IoT devices together with an increasing demand that was difficult to support. Many manufacturers quickly created hundreds of devices implementing functionalities but neglected some critical issues pertaining to device security. is oversight gave rise to the current situation where thousands of devices remain unpatched having many security issues that manufacturers cannot address after the devices have been produced and deployed. is article presents our novel research protecting IOT devices using Berkeley Packet Filters (BPFs) and evaluates our findings with the aid of our Filter.tlk tool, which is able to facilitate the development of BPF expressions that can be executed by GNU/Linux systems with a low impact on network packet throughput.

Compressed Firmware Classification Based on Extra Trees and Doc2Vec

“…With the widespread use of IoT devices, their security is also a growing concern [8,9]. Firmware analysis is an important way to analyze the security of IoT devices, and firmware classification is a fundamental work for firmware analysis.…”