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| Title | Review Of Recent Intrusion Detection Systems And Intrusion Prevention Systems In Iot Networks |
|---|---|
| ID_Doc | 46467 |
| Authors | Chiba Z.; Abghour N.; Moussaid K.; Lifandali O.; Kinta R. |
| Year | 2022 |
| Published | 2022 30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022 |
| DOI | http://dx.doi.org/10.23919/SoftCOM55329.2022.9911401 |
| Abstract | The Internet of Things (IoT) paradigm has gained exponential growth and popularity in recent years. It is a precipitously shifting technology, in which interconnected computing devices and sensors share data and communicate over the Internet, to decipher different problems and deliver new services without human intervention. In fact, IoT is becoming more ubiquitous in our daily lives, connecting physical things to e-services. That is to say; the IoT is the engine that powers home automation, modern health, advanced manufacturing, and smart cities. Thus, IoT holds a lot of promise for enhancing social and corporate life. Despite the rising vogue of IoT equipment, they are weak and vulnerable to many security threats because of the nature of their networks, and inherent hardware limitations that restrict their ability to implement security measures and increase their exposure to vulnerability attacks. Furthermore, the integration and diversification of IoT terminals and applications make IoT more prone to various intrusion attacks. There are many techniques used to preclude IoT from various attacks, Intrusion Detection System (IDS) and Intrusion Preventions System (IPS) are some of them, which can guarantee the security, privacy, and reliability of the IoT. In this paper, we provide a review of several recent and pertinent IDS and IPS proposed for IoT networks, where we highlight the suggested mechanisms and their limitations. This aids to spot the issues that still require to be tackled, well define the mainstream of research direction, and pave the way for novel avenues of research for future researchers. © 2022 University of Split, FESB. |
| Author Keywords | Intrusion Detection System (IDS); Intrusion Prevention System (IPS); IoT Networks |
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