Identifying Network Security Issues in the Applications of Internet of Things (IoT)

Abstract

Current network security solutions face challenges in effectively mitigating issues due to the resource constraints, heterogeneity, and dynamic behavior of IoT networks .There is a growing need to enhance measures to counteract cyber threats, as cybercrime becomes more widespread. The importance of network security is highlighted by the constant connectivity of individuals and organizations, leading to the need for robust security methods against evolving threats . In spite of the presence of various security measures, the failure to implement solutions remains a major challenge in addressing cyber threats in wireless networks. Utilizing machine learning and deep learning techniques is essential to fill these gaps and improve security measures in distributed systems. Integration of these advanced technologies can offer built-in intelligence and more efficient strategies to counter constantly evolving cyber threats. This study aims to recognize potential attacks on Internet of Things networks and suggest solutions to tackle them. Security concerns are categorized based on the layers of the Internet of Things architecture. In spite of this classification, the security of the whole system is threatened by problems in these layers. Also, solutions are presented to them. Therefore, in order to carry out future studies we have stressed the need for this type of security solution.