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Evaluating an Intrusion Detection System for Wireless Sensor Networks Within the Internet of Things Using a Metrics Scorecard Method Focused on Architecture

Prabhjot Kaur [1], Rupinder Singh [2], Rachhpal Singh [3]

[123] Department of Computer Science, Khalsa College Amritsar,Punjab. E-mail: prabhjot25762@gmail.com

ABSTRACT- The expected range, the structure of IOT WSNIDS, and their relationship with the deployment architecture are all assessed using IOT WSNIDS architectural metrics. These metrics can be employed to gauge the efficiency of an IOT WSNIDS architecture and assist in creating effective IOT WSNIDS. IOT WSNIDS are crucial for ensuring the security of wireless sensor networks by monitoring wireless-specific traffic, including detecting external users attempting to connect to the network via access points. As wireless technology is continuously advancing, developing IOT WSNIDS presents a significant challenge. Architectural metrics can significantly influence the design of IoT Wireless Sensor Network Intrusion Detection Systems (WSNIDS) by identifying the problematic areas within its architecture. This study explores a range of architectural metrics that are relevant to IoT WSNIDS. The primary focus of testing and evaluating an IoT WSNIDS revolves around a "scorecard" that includes a set of values. An IoT WSNIDS can be appraised by assigning scores to various architectural metrics associated with it. We illustrate our architectural metrics scorecard-based evaluation approach using three prominent IoT WSNIDS: Snort, Suricata, and Zeek. In conclusion, we present the findings and highlight the significant potential for further research within this domain.

Keywords: Architectural Metrics, IOT WSN, Metrics, IDS, and Scorecard.