Security Approaches For Smart Medical Healthcare Systems Into Internet Of Things

Nowadays,Internet of Things(IoT)is well envisioned to encourage promptly due to the rapid formation of information communication and might be hypothetical as an explanation of ubiquitous computing.It extends systematic model replacement with the direct user immersion to the incessantly consistent collaborative employed smart devices such as sensor and actuator without human interaction.In addition,the extensive acceptance of automated equipment and computing expertise has directed to the remarkably fast evolution shape.The foremost concept of the IoT is the accessibility of the platform that can offer facilities or communications through comfort and without any hurdle to monitor as well as control greatly from easiest accessible site with any kind of heterogeneous things everywhere in the world.Presently numerous smart IoT applications are comprehensibly functioned as a built-in sensor inside the smart applications for example smart wireless multimedia surveillance networks(SWMSN),intelligent healthcare system,radio-frequency identification tags(RFID),smart cities,self-driving vehicles(SDV),smart grids,automobiles,drones surveillance systems(DSS),smart homes appliances,biochip remote surveillance on farmhouse animals,smart fitness shoes,smart industry monitoring system(SIMS)and smart transportation system(STS)etc.Therese current research and development in high processing capabilities birth as a smart IoT ecology that are extremely proficient of gathering intelligently meaningful interaction with the surroundings.The healthcare system is extensively consistent with the integration of IoT environments to ease the finest patient monitoring,competent diagnosis,and appropriate functioning through existing diseases to the patients.With the exponentially mounting creation of digital images and the enormous use of interconnected system generally public and insecure networks for the spread and propagation of mainly private information has been increased.Regulating these concerns,the security and privacy of the patient’s information in the smart healthcare IoT system is always challenge.In response to that,this thesis proposes secure surveillance approach for a medical healthcare system with empowered internet of things(IoT sensors)by intelligently recorded video summary into the server and probabilistic keyframes image encryption.The proposed mechanism is twofold.Firstly,a well-organized keyframe extraction process is called to extract meaningful image frames(detected normal/abnormal activities keyframe)by the visual sensor with an alert sent to the concerned authority in the healthcare system.Secondly,the final decision about the happened activity with extracted keyframes to keep highly secure from any adversary,and we propose an efficient probabilistic and lightweight cosine-transform-based chaotic sequence image encryption system(CTC-IES).CTC-IES is achieved three rounds of confusion and diffusion operation into the keyframe image as an operation of bitwise XOR procedure with block scrambling algorithm.This proposed mechanism verifies effectiveness through producing results,robustness in nature,minimum execution time,and comparatively secure than other images(keyframes)encryption algorithms.Additionally,this mechanism can reduce storage,bandwidth,required transmission cost,and timely analysis of happened activity from any adversary with protecting the privacy of the patient’s information in the IoT enabled smart healthcare system.This thesis also proposes an innovative keyframe cosine-transform-based sine tent chaotic sequence image encryption(STC-IES)that also achieved three rounds of confusion and diffusion operation in the keyframe and operating bitwise XOR with highly efficient scrambling algorithm.Furthermore,at the last,we added additional operational enhancement in the operated approach such as OESTC-IES.This enhancement is used two round encryption operation which is facilitated less execution,fast speed and reduction of computational overhead.The proposed encryption methodology is stimulated randomness,robust encrypted keyframe matrix and relatively better secure parameter in the security analysis to realize as an improved cryptosystem.The proposed lightweight encryption mechanism is also comprehensively appropriate for the smart healthcare IoT enabled system.This thesis is proposed medical image encryption into IoT ecosystem.This mechanism incorporated three rounds of high-speed scrambling as well as pixel adaptive diffusion concept for shuffling random neighboring pixels.In addition,implementing pixel adaptive diffusion this mechanism is used modulo arithmetic operation.Simulations and experimental results demonstrate that the encryption mechanism employing modulo arithmetic operation have comparatively higher levels of security.In summary,this dissertation offers two generic and innovative simulation model of CTC-IES and STC-IES(inclusive OESTC-IES)which has fast speed in execution of encryption,comparable better entropy,lowest correlation coefficient,satisfactory NPCR and UACI values.Which is firmly indicated that proposed work has highly acceptable in the field of cryptographically secure surveillance on smart healthcare IoT system.Additionally,this approach can reduce storage,essential transmission cost,bandwidth and timely examination of materialized action from any adversary with shielding the confidentiality and privacy of the patient’s information in the IoT enabled smart healthcare system.