ENERGY EFFICEINT ROUTING PROTOCOLS BASED ON ZIGBEE TECHNIQUES

Computer Science

Every day, new distributed computing systems make their way onto the market. Consequently, in developing these systems, new security and privacy issues come up. These difficulties necessitate the search for more thorough and accurate methods that can offer greater degrees of security, privacy, and confidence in these systems right from the start of their creation. To create systems, including open distributed systems, we require methods and resources for design, specification, and code creation. In order to facilitate understanding of the initial concepts of these systems, graphical notations are preferred. This is pertinent to the initial stages of design. After the concepts are settled upon, a formal foundation for the intended system's specifications is needed to enable critical thinking when it comes to designs and specifications. This can be completed in the final stages of design. Some of the security functionalities are missing from the existing documentation for security and privacy needs and functionalities in IoT systems. Specifically, privacy issues are either not addressed or are simply provided in textual form without a framework definition. In order to provide techniques that enhance the security, privacy, and trust levels of distributed systems and the Internet of Things, we concentrate on two areas of the design phase in this thesis. First, we focus on the context of Internet of Things systems and examine the early design stage, during which a system's architecture is being built. Second, we look at the late design stage, which is when models specifically, executable models and prototypes are created with an emphasis on Internet of Things systems the broader context of distributed systems. We confine our effort to the active object paradigm for the modeling associated with the late design phase. Specifically, we find methods for leveraging a security and privacy functionality framework to raise the overall security level of IoT systems, a static analysis tool to identify potential flaws that may lead to distributed denial of service (DDoS) assaults. Furthermore, we created a language-based strategy to give smart contracts privacy, safety, security, and confidence.

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