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Table 2 Research questions detail

From: Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

No.

RQs

Objectives and motivation

RQ1

Identify security requirements that define a full pledge secure IoT based system. What are the different types of ANNs contributing towards IoT security in the literature?

The main idea and purpose of formulating RQ1 is to identify the various security requirements of IoT network, which provide a complete package of security for IoT based systems. This question is also intended to identify the various ANN types and techniques/approaches that affect the security requirements of IoT. This question provides a solid foundation for RQ2

RQ2

What is the role of ANNs approaches towards the identified underlying security requirements/criteria of IoT? Identify the different approaches contributing towards overall IoT security

The major motivation of this question is to highlight the prime contributions made by ANN based solution towards the individual security requirements of IoT. Every security requirement or feature related to IoT security is illustrated based on the application of ANN. Different types of security models, frameworks, methods, techniques, algorithms and approaches intended to address the security issues and challenges in IoT

RQ3

How ANNs can be used to detect and analyze DoS/DDoS attacks in IoT network; and also compare the performances of ANNs approaches targeted towards the IoT security?

The main theme of this question is to discuss the major role of ANNs for detection and analysis of DoS/DDoS attacks briefly. ANN significant contributions towards the security of IoT exists in the form handling these threats and abnormal behaviors of network. A comparative analysis of different ANNs approaches have been performed in context of handling DoS/DDoS attacks