Strategic Approaches to Intrusion Detection in Cloud-IoT Ecosystem

3Securing the Interconnected: AI-Driven Strategies for Dynamic Cloud-IoT Ecosystem

Ayan Banerjee^1* and Anirban Kundu^1,2

¹Computer Innovative Research Society West Bengal, Kolkata, West Bengal, India

²Netaji Subhash Engineering College Kolkata, Kolkata, West Bengal, India

Abstract

Authors propose a cloud-based memory capacity management system having distinct layers to access frameworks through multiple entry points such as, user module, administrative module and controller module which have been operated from different geographical locations using distributed approach. Several benefits of industry 4.0 are being achieved using proposed framework. End user has achieved flexible and less time-consuming environment to perform their necessary activities due to usage of cloud services. An efficient memory allocation and data storage are being presented in proposed framework for reducing reallocation and replication transparency. User requirements are being submitted for receiving a suitable resource. Administrative authorities collect memory information from actively interconnected systems and store into server side using AI based automated mechanism. In controller, cellular automata-based mapping is applied on systems’ collected memory information for measuring system capacity over the cloud. User requirements should be authorized and analyzed into controller module for mapping an efficient resource within minimum time. Reliability factor, linear time complexity and minimum server ...