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Wireless Body Area Network (WBAN) is a wireless network that can be attached or implanted into the human body. This allows medical devices that are used for monitoring any bodily function to be equipped with a wireless network system. This system is vulnerable, similar to any other currently available wireless systems e.g. Wireless Local Area Network (WLAN) and Bluetooth. However, currently there were not many discussions on the WBAN security impact and security threats and if there is any, the issues were discussed through theoretical and simulation data. In this paper, a practical approach to assessing WBAN security impact is designed in order to identify, evaluate, and develop a Secure Network Architecture complete with the Forensic Readiness capability to secure WBAN implementation.

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Objective - The objective of this paper is to propose a lightweight IDS algorithm to secure IoT Sensor Node. Methodology/Technique - The proposed IDS algorithm for IoT Sensor Node shall prevent the abnormal energy consumption by monitoring, calculating, and evaluating energy drop from each cluster nodes based on a few conditions. Findings - The DoS attack is considered as one of security threat that may affect the quality service of IoT network and also reduce the lifespan of IoT Sensor Nodes Novelty - The approach is using data from previous experiments and translated it to develop mitigation to secure IoT Sensor Node, thus increased the lifespan of IoT Sensor Nodes. Type of Paper: Other. Keywords: Internet of Things (IoT); Intrusion Detection System (IDS); Denial of Service (DoS); Smart Water; Sensor.

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