IOT SECURITY AND THE ROLE OF AI/ML TO COMBAT EMERGING CYBER THREATS IN CLOUD COMPUTING ENVIRONMENT
Issues in Information Systems
Internet of Things (IoT) has become one of the cutting-edge technologies and an attractive area of interest for the research world, and economically attractive for the business world. It involves the interconnection of multiple devices and connections of devices to humans. IoT requires a cloud computing environment to handle its data exchange and processing. At the same time, it requires artificial intelligence (AI) to analyze the data stored at cloud infrastructure and make fast and reliable
... telligent decisions. These interconnected IoT devices use their unique-identifiers and the embedded sensor with each device to communicate with each other, and exchange information among them using an Internet and cloud-based network infrastructure (Girma, 2018) . We are living in the era of big data where the necessity of applying AI/ML has been very critical to the process and analyze the collected cloud-based big data fast and accurately. However, even though AI is currently playing a vital role in improving the traditional cybersecurity, both the cloud vulnerability and the networking of IoT devices are still major threats. Besides the security issues of cloud computing, IoT devices, and AI is being used by hackers and continues to be a threat to the world of cybersecurity. Moreover, most of wirelessly accessed IoT devices deployed on a public network are also under constant cyber threats. This research paper will propose a hybrid detection model as a solution approach using artificial intelligence and machine learning (AI/ML) to combat and mitigate IoT cyber threats on cloud computing environments both at the host-based and network level.