000			02135 a2200169 4500
003			DZ-ElOued
005			20260602171319.0
100	1		_aBEGGAS, Mounir
700	1		_aKahla, Mohammed Elhabib
700	1		_aLAOUID, Abdelkader
245	0	0	_aSecurity Techniques for Remote Healthcare Systems
260			_bUniversite Chahid Hamma Lakhdar d'El-Oued _c2025
500			_aSecurity Techniques for Remote Healthcare Systems
520			_aThe Internet of Medical Things (IoMT) has revolutionized healthcare by utilizing IoT devices and diverse data sources to provide personalized and efficient care through real-time communication, remote monitoring, and diagnostics. Medical images, central to IoMT systems, require robust security measures to prevent unauthorized access and ensure integrity. However, their sensitive nature, complex networks, and large file sizes increase vulnerability to cyberattacks and unauthorized modifications, which could lead to improper diagnoses and treatments. This research introduces several innovative advancements to strengthen IoMT security. A novel encryption technique is proposed to reduce processing time and image size while maintaining robust security. A hybrid crypto-system integrates encryption and watermarking to protect medical images efficiently. A lightweight watermarking algorithm based on K-means clustering enhances tamper detection with minimal computational overhead. A blockchain-based watermarking scheme ensures tamper-proof image transmission without third-party involvement. Furthermore, a clustering algorithm is designed to preserve data privacy in resourceconstrained IoMT environments, and a dual watermarking framework provides comprehensive tamper detection and authentication. These contributions collectively enhance IoMT security, reliability, and applicability, supporting the evolution of remote healthcare. The proposed solutions are validated through simulations and real-world scenarios involving network devices.
650		4	_a/Security//Techniques//for//Remote//Healthcare//Systems/
942			_cTHESIS
999			_c18341 _d18341