Calibration of chaos medichain by non-functional testing approaches

Abstract

The evolution of blockchain networks extends with the proliferation of the Internet of Medical Things devices. These devices require stupendous storage space which enlarges the maintenance cost. It raises undermined data security & Privacy, risk of failure, dishonest interlopes access to the centralized system. The propitious solution against these challenges of an extensive centralized system is decentralized-based blockchain technology. This paper implements decentralized-based blockchain architecture deployed with chaotic encryption and proof of consensus mechanism for mining. The disintermediate architecture as an enchanting target for Denial of Service (DoS) attacks. To covenant the trust, testers must certify that all the components of the blockchain network are employing flawlessly. The performance of non-functional testing assured the quality assurance services is a decisive aspect of the proposed blockchain architecture. The proposed decentralized-based blockchain framework is calibrated by injecting various malicious attacks. Moreover, the attacks are injected with other encryption-based blockchains to correlate the high effective scheme for medical data security. The evaluation reveals that the Proposed chaos medicine architecture shows 14% lower latency than SHA and 18 % lower latency than AES on all attacks and deliberate to be safe from malicious attack.