Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem

1Intrusion Detection in Cloud-IoT Systems: Challenges and Opportunities

Anindita Raychaudhuri^1* and Inadyuti Dutt²

¹Department of Computer Science, Sarojini Naidu College for Women, Kolkata, West Bengal, India

²Department of Computer Applications, B. P. Poddar Institute of Management & Technology, Poddar Vihar, Kolkata, India

Abstract

Intrusion detection in Cloud-IoT systems is essential for safeguarding data, ensuring regulatory compliance, maintaining operational continuity, and protecting against the evolving landscape of cyber threats. Cloud-IoT systems collect huge amounts of data from diverse sources, including human-to-human, human-tothing, and thing-to-thing interactions. These systems leverage cloud computing to process and study the data, delivering real-time insights seamlessly. The data in such systems become very vulnerable to intrusions as they can be compromised at the client’s end, where the exchange of data primarily takes place. The data can also be prone to security issues in the cloud environment where the cloud servers can be exposed to attacks. Apart from firewalls that are positioned intelligently, there are needs for Intrusion Detection Systems (IDS). Intrusion detection in Cloud-IoT systems is a multifaceted but essential job to ensure the security and integrity of these environments. By exploiting leading-edge technologies like machine learning, deep learning, edge computing, and collaborative approaches, it is possible to develop robust IDS solutions ...