With a growing number of embedded devices that create, transform, and send data
autonomously at its core, the Internet of Things (IoT) is a reality in different sectors, such as …

Security attacks abuse software vulnerabilities of IoT devices; hence, detecting and
eliminating these vulnerabilities immediately are crucial. Fuzzing is an efficient method to …

A novel approach for discovering vulnerability in commercial off‐the‐shelf (COTS) IoT
devices is proposed in this paper, which will revolutionize the area. Unlike previous work …

With more IoT devices entering the consumer market, it becomes imperative to detect their
security vulnerabilities before an attacker does. Existing binary analysis based approaches …

Recently, automated software vulnerability detection and exploitation in Internet of Things
(IoT) has attracted more and more attention, due to IoT's fast adoption and high social …

Fuzzing is a powerful tool for vulnerability discovery in software, with much progress being
made in the field in recent years. There is limited literature available on the fuzzing …

Internet of Things (IoT) devices have rooted themselves in the everyday life of billions of
people. Thus, researchers have applied automated bug finding techniques to improve their …

The security situation of the Internet of Things (IoT) is particularly severe, and a large
number of IoT devices are prone to vulnerabilities. In this study, we present FIRMCORN, the …

Fuzzing has become one of the best-established methods to uncover software bugs.
Meanwhile, the market of embedded systems, which binds the software execution tightly to …

Memory corruption vulnerabilities remain a prevalent threat on low-cost bare-metal devices.
Fuzzing is a popular technique for automatically discovering such vulnerabilities. However …