AHSWN Home · Issue Contents · Forthcoming Papers
HHECC-AES: A Novel Hybrid Cryptography Scheme for Developing the Secured Wireless Body Area Network using Heuristic-aided Blockchain Model
Chandra B and Kanaga Suba Raja S
Wireless Body Area Network (WBAN), a lightweight and low-power wireless sensor device, is used to observe human body functions and its surrounding environment. WBAN technology is very supportive in many practical applications. However, the focus of this research is on the security of all-encompassing healthcare applications. WBAN’s partially trusted third-party servers and the open network environment of WBAN expose the security of data to a suspicious threat from attackers and hackers. But, to carry out a variety of attacks, a malicious attacker attempts through a public channel by impersonation and reply attacks. Additionally, the limited power storage capacity of wearable devices has made it challenging to store real-time storage of all of the generated health data. A novel blockchain-based secured framework is suggested for WBAN to overcome these difficulties. Authentication, access to data, uploading of data, and collection of data are the four stages of the suggested model. The necessary input data are initially gathered from WBAN sensors and standard sources. This collected data are given for uploading in the Blockchain with the objective of Hybrid Hyper Elliptic Curve Cryptography with Advanced Encryption Standard (HHECC-AES), where the optimal key generation is done by using the Enhanced Convergence-based Chameleon Swarm Algorithm (EC-CSA). The optimal keys help in storing the data that has been double encrypted. The encrypted data is accessed at the user’s side through an authentication procedure. Here, Fuzzy-based Biometric Verification (FBV) is used for user authentication. The password is then assigned to the authenticated user. The key is then digitally signed for security purposes with the help of a password. In the end, the users receive the key to access the Blockchain’s data without engaging in any fraudulent activity. The model’s performance is validated and compared to other approaches. As a result, the findings demonstrate that the proposed work achieves a higher level of data security.
Keywords: wireless body area network, multilevel data security, blockchain, hybrid hyper elliptic curve cryptography with advanced encryption standards, enhanced convergence-based chameleon swarm algorithm, fuzzy-based biometric verification