Abstract
The revolution of computer network technologies and telecommunication technologies increases the number of Internet users enormously around the world. Thus, many companies nowadays produce various devices having network chips, each device becomes part of the Internet of Things and can run on the Internet to achieve various services for its users. This led to the increase in security threats and attacks on these devices. Due to the increased number of devices connected to the Internet, the attackers have more opportunities to perform their attacks in such an environment. Therefore, security has become a big challenge more than before. In addition, confidentiality, integrity, and availability are required components to assure the security of Internet of Things. In this article, an adaptive intrusion detection and prevention system is proposed for Internet of Things (IDPIoT) to enhance security along with the growth of the devices connected to the Internet. The proposed IDPIoT enhances the security including host-based and network-based functionality by examining the existing intrusion detection systems. Once the proposed IDPIoT receives the packet, it examines the behavior, the packet is suspected, and it blocks or drops the packet. The main goal is accomplished by implementing one essential part of security, which is intrusion detection and prevention system.
Highlights
The Internet of Things (IoT) devices are growing rapidly but these devices have limited memory, computation, and processing power in which they are based on low-end microcontroller.[1,2,3,4,5] There is no user interface in some of the devices that are made by the original equipment manufacturers (OEMs) that do not concern more about the security
The main objective of this article is to propose a solution for agent-based intrusion detection system (IDS) for IoT environment that can enhance security measures including both host-based and network-based by examining the existing IDSs used in this field
The proposed methodology is presented in section ‘‘The proposed an adaptive intrusion detection and prevention system for IoT.’’ the conclusion and future directions are drawn in section ‘‘Conclusion and future work.’’
Summary
The Internet of Things (IoT) devices are growing rapidly but these devices have limited memory, computation, and processing power in which they are based on low-end microcontroller.[1,2,3,4,5] There is no user interface in some of the devices that are made by the original equipment manufacturers (OEMs) that do not concern more about the security. The IDS is a method that determines if there are any threats caused by intrusions on the system throughout the observations of the network traffic.[11] It is available around the clock to generate information regarding the state of the system, monitor the activities of the users, and provide reports to a management station. The main objective of this article is to propose a solution for agent-based IDS for IoT environment that can enhance security measures including both host-based and network-based by examining the existing IDSs used in this field. The proposed methodology is presented in section ‘‘The proposed an adaptive intrusion detection and prevention system for IoT.’’ the conclusion and future directions are drawn in section ‘‘Conclusion and future work.’’
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