Browsing by Author "Vani, V."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Multi-factor Authentication and Data Integrity for WBAN Using Hash-Based Techniques
    (Springer Science and Business Media Deutschland GmbH, 2024) Pabitha, B.; Vani, V.; Sanshi, S.; Karthik, N.
    In recent days, a wireless body area network (WBAN) has been developed as part of the Internet of Things (IoT) with sensors and actuators in three different modes, building its network, i.e., in-body sensors, wearable sensors, and on-body sensors. The doctor’s access the data recorded and monitored by the sensor embedded in the patient to treat critical situations immediately. Maintaining data integrity and guarding against threats is necessary to secure sensitive patient information. Several people have proposed schemes for authenticating data access through formal and informal verification. In this research work, we carry out multi-factor authentication extensively using zero-knowledge proofs. The anomaly detection of the sensors is detected using machine learning algorithms, which help tune the sensors to their correct working conditions. The work aims to concentrate on sensor working conditions promptly and to handle attacks like masquerade, forgery, and key escrow attacks. To assess whether performance metrics are superior in computing cost, storage overhead, and communication overhead, utilize the BAN logic tool. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
  • No Thumbnail Available
    Item
    Performance Evaluation of Wireless Health and Remote Monitoring Network Throughput Under Varying Conditions Using NetSim
    (Institute of Electrical and Electronics Engineers Inc., 2024) Pabitha, B.; Vani, V.; Sanshi, S.
    The Wireless Body Area Network (WBAN), organized in/out of the human body region to form Wireless enabled Health and Remote monitoring Network (WHRN), is trending on the medical platform for efficient diagnosis by the physician without the patient's physical visit. This network is framed with different biological sensors in the regional area of the human body to sense unlike biological signals promptly. Wearable WHRN, like smart watches and mobile phones, can notify people about stress, heart rate, and other physiological nods. The technology developed enhances the treatment for the patient, but the security of the information transmitted over different mediums is vulnerable. WHRN is simulated using the NetSim standard tool. Network performance metrics and their plots are analyzed using various encryption standards to provide data transmission and diagnosis security. Security is the primary concern for physiological data sensed and transmitted over different mediums. © 2024 IEEE.