Abstract
Currently, the eHealthcare information management is the most critical and hot research topic. Especially with the involvement of new and promising telecommunication technologies like Machine to Machine (M2M) Communication. In M2M communication the devices interact and exchange information with each other in an autonomous manner to accomplish the required tasks. Mostly machine communicate to another machine wirelessly. The wireless communication opens the medium for enormous vulnerabilities and make it very easy for hackers to access the confidential information and can perform malicious activities. In this paper, we propose a Machine to Machine (M2M) Low Delay and Secure (LDS) communication system for e-healthcare community based on random distributive key management scheme and modified Kerberos realm to ensure data security. The system is capable to perform the tasks in an autonomous and intelligent manner that minimizes the workload of medical staffs, and improves the quality of patient care as well as the system performance. We show how the different actors in the e-healthcare community can interact with each other in a secure manner. The system handles dynamic assignments of doctors to specific patients. The proposed architecture further provides security against false attack, false triggering and temper attack. Finally, the simulation type implementation is performed on Visual Basic.net 2013 that shows the feasibility of the proposed Low Delay and Secure (LDS) algorithm.