A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challen
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ORIGINAL PAPER
A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges Ankit Thakkar1 · Ritika Lohiya1 Received: 11 February 2020 / Accepted: 8 September 2020 © CIMNE, Barcelona, Spain 2020
Abstract Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical environment with the cyber world and create one big intelligent network. This technology has been applied to various application domains such as developing smart home, smart cities, healthcare applications, wireless sensor networks, cloud environment, enterprise network, web applications, and smart grid technologies. These wide emerging applications in variety of domains raise many security issues such as protecting devices and network, attacks in IoT networks, and managing resource-constrained IoT networks. To address the scalability and resource-constrained security issues, many security solutions have been proposed for IoT such as web application firewalls and intrusion detection systems. In this paper, a comprehensive survey on Intrusion Detection System (IDS) for IoT is presented for years 2015–2019. We have discussed various IDS placement strategies and IDS analysis strategies in IoT architecture. The paper discusses various intrusions in IoT, along with Machine Learning (ML) and Deep Learning (DL) techniques for detecting attacks in IoT networks. The paper also discusses security issues and challenges in IoT.
1 Intusion Detection Systems for Internet of Things The advancement in the technologies such as sensors, automation in object identification and tracking, communication between the inter-connected devices, integrated and distributed Internet services resulted in the increased use of smart devices in day-to-day activities. The combination of Internet services along with smart communication devices is referred to as Internet of Things (IoT) and the systems built using these devices are referred to as Cyber Physical Systems (CPS) [1]. According, to the infographics presented by Intel, IoT consist of a large varieties of smart sensors and devices that are making the web intelligent [2]. There were two billion inter-connected devices in 2006 which is expected to rise to 200 billion by 2020 as per the growth rate usage of IoT device, presented by Intel [2]. The applicability * Ritika Lohiya [email protected] Ankit Thakkar [email protected] 1
Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India
areas of IoT can be listed as industrial and logistic processing, automation, healthcare, securing the computing devices, and examining the environmental systems [3]. However, the demand of IoT devices with the real-world applications increased the risks for the Internet services as well as the devices [1]. The CPSs built with critical infrastructure are prone to security threats such as false alarms in the home applianc
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