Security Issues in IoT Applications

Abstract

The 21st century witnessed the appearance of the Internet of Things (IoT), which completely shifted the realm of innovations by enabling connectivity and communication between multiple devices. Constantly interdependent infrastructure that incorporates sensor equipment with information sharing and processing abilities has transformed everyone's lives, enabling seamless intercontinental interaction and information evaluation. The IoT remains vulnerable to security incidents regardless of its widespread utilization, partially due to risks ranging from obsolete firmware or software, inadequate authorization procedures, resources, and bandwidth restrictions. The expansion of IoT botnets, a trend that has appeared designed to attack the noted deficiencies, is particularly concerning, which renders them a significant threat to cybersecurity. Efficient surveillance tactics are mandatory due to the probable consequences of IoT malware attacks, which typically involve financial losses, service interruptions, and information breaches. The main objective of this research is to provide comprehensive evaluations of security deficiencies within IoT equipment, highlighting the disruptive consequences of botnets and investigating distinct prevention strategies, particularly those utilizing machine learning procedures. Furthermore, we endeavor to carry out a case investigation that employs a real-world IoT industry database (CICIOT2023) to identify botnet assaults on IoT applications, subsequently providing fruitful insights. Furthermore, the investigation intends to discuss forthcoming threats in the IoT prevention scenario as well as develop prevention methods, culminating in a philosophical stance on IoT protective paradigms