Consistently, many bugs are raised, which are not completely settled, and countless designers are utilizing open sources or outsider assets, which prompts security issues. Bug-triage is the impending mechanized bug report framework to appoint individual security teams for a more than adequate pace of bug reports submitted from various IDEs inside the association (on-premises). We can lessen the time and cost of bug following and allocate it to the fitting group by foreseeing which division it has a place in within an association. In this paper, the authors are executing an automatic bug tracking system (ABTS) to allocate the group for the revealed bug involving the text examination for bug naming and characterization AI calculation for anticipating designer. Hybrid natural language processing and machine learning techniques are used for automatic bug identification to improve the performance of software organization products.
In the internet era, data is considered to be the primary asset, and the host or applications in a network are vulnerable to various attacks. Traditional network architectures have centralized authority to provide authentication, authorization, and access control services. In this case, there is a possibility of data mishandling activities from the valuable information available in the given network application. To avoid this type of mishandling, a new technology came into existence known as blockchain. Implementing blockchain technology in the internet of things (IoT) will ensure data integrity, stability, and durability. The authors present a detailed investigation of various IoT applications with blockchain implementation. Blockchain-based mechanisms will improve the security aspects in the traditional network applications related to IoT like insurance policies claiming, personal identification, and electronic health records.
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