Abstract
In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenges for researchers. This paper proposes an approach for effective intrusion detection in the e-healthcare environment to maintain PHR in a safe IoT-net using an adaptive neuro-fuzzy inference system (ANFIS). In the proposed security model, the experiments present a security tool that helps to detect malicious network traffic. The practical implementation of the ANFIS model on the MATLAB framework with testing and training results compares the accuracy rate from the previous research in security.
Highlights
Internet of Things (IoT)-based network systems (IoT-net) are considered as emerging advancements in the field of technology, where cloud network-based servers provide communication, storage, and problem-solving facilities, but these sorts of systems contain security threats and issues as well [1,2,3,4]
The main agenda is to detect the unauthorized access of users by using an adaptive neuro-fuzzy inference system (ANFIS)-based intrusion detection system
Layer 5 shows the final result or output of the complete process, The ANFIS model is used to detect the type of attack based on rule viewer, membership function, and surface viewer
Summary
Internet of Things (IoT)-based network systems (IoT-net) are considered as emerging advancements in the field of technology, where cloud network-based servers provide communication, storage, and problem-solving facilities, but these sorts of systems contain security threats and issues as well [1,2,3,4]. The network user can access its facility by using an internet source [5]. The multiple hardware and software-based environments provide data and information to its end users. CC is based on three-layer models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Cloud networks are based on four types: private, public, hybrid, and community [6, 7]
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