Improved authentication and computation of medical data transmission in the secure IoT using hyperelliptic curve cryptography

Author(s):  
B. Prasanalakshmi ◽  
K. Murugan ◽  
Karthik Srinivasan ◽  
S. Shridevi ◽  
Shermin Shamsudheen ◽  
...  
Author(s):  
G. Saravanakumar ◽  
T.M. Devi ◽  
N. Karthikeyan ◽  
B. John Samuel

Author(s):  
Naresh Sammeta ◽  
Latha Parthiban

Recent healthcare systems are defined as highly complex and expensive. But it can be decreased with enhanced electronic health records (EHR) management, using blockchain technology. The healthcare sector in today’s world needs to address two major issues, namely data ownership and data security. Therefore, blockchain technology is employed to access and distribute the EHRs. With this motivation, this paper presents novel data ownership and secure medical data transmission model using optimal multiple key-based homomorphic encryption (MHE) with Hyperledger blockchain (OMHE-HBC). The presented OMHE-HBC model enables the patients to access their own data, provide permission to hospital authorities, revoke permission from hospital authorities, and permit emergency contacts. The proposed model involves the MHE technique to securely transmit the data to the cloud and prevent unauthorized access to it. Besides, the optimal key generation process in the MHE technique takes place using a hosted cuckoo optimization (HCO) algorithm. In addition, the proposed model enables sharing of EHRs by the use of multi-channel HBC, which makes use of one blockchain to save patient visits and another one for the medical institutions in recoding links that point to EHRs stored in external systems. A complete set of experiments were carried out in order to validate the performance of the suggested model, and the results were analyzed under many aspects. A comprehensive comparison of results analysis reveals that the suggested model outperforms the other techniques.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4417 ◽  
Author(s):  
Hongcheng Huang ◽  
Wei Xiang ◽  
Yang Tao ◽  
Biao Liu ◽  
Min Hu

Relay-assisted Device-to-Device (D2D) communication, one of the important transmission modes in mobile health systems, can provide high transmission quality for servicing users at the edge of system coverage. However, the quality of the D2D relay communication is largely limited by the relay nodes. When a poor node is selected to assist the source node in the data transmission, it is likely to result in the loss of medical data and inaccurate transmission. Therefore, this paper focuses on how to select relay modes and relay nodes to improve the reliability of medical data transmission. Firstly, in order to eliminate the relay nodes with low energy or poor willingness, the acceptable energy consumption metric of relay nodes is proposed in this paper. The relay mode of each relay node is determined by the acceptable energy consumption metric, which can ensure the physical reliability of the relay communication links. Then a trust metric is proposed to measure the social reliability of each relay link, further excluding the malicious relay nodes. Finally, this paper proposes a relay selection algorithm based on compromise factors (RSCF). With the help of the proposed algorithm, the reliability of the relay communication can be guaranteed, and the spectrum efficiency can be promoted greatly. The simulation results show that the relay nodes selected by RSCF algorithm can greatly improve transmission rate and reliability compared with the traditional relay-assisted D2D communication schemes.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 20596-20608 ◽  
Author(s):  
Mohamed Elhoseny ◽  
Gustavo Ramirez-Gonzalez ◽  
Osama M. Abu-Elnasr ◽  
Shihab A. Shawkat ◽  
N. Arunkumar ◽  
...  

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