Affiliation:
1. Madan Mohan Malaviya University of Technology, Gorakhpur, India
2. The University of Melbourne, Melbourne, Australia
Abstract
Sensor networks are integrated with cloud in many internet of things (IoT) applications for various benefits. Healthcare monitoring sensor cloud is one of the application that allows storing the patients' health data generated by their wearable sensors at cloud and facilitates the authorized doctors to monitor and advise them remotely. Patients' data at cloud must be secure. Existing security schemes (e.g., key policy attribute-based encryption [KP-ABE] and ciphertext policy attribute-based encryption [CP-ABE]) have higher computational overheads. In this paper, a security mechanism called attribute-based elliptical curve cryptography (ABECC) is proposed that guarantees data integrity, data confidentiality, and fine-grained access control. It also reduces the computational overheads. ABECC is implemented in .NET framework. Use of elliptical curve cryptography (ECC) in ABECC reduces the key length, thereby improving the encryption, decryption, and key generation time. It is observed that ABECC is 1.7 and 1.4 times faster than the existing approaches of KP-ABE and CP-ABE, respectively.
Reference38 articles.
1. Ahuja, S. P., & Wheeler, N. (2020). Architecture of Fog-Enabled and Cloud-Enhanced Internet of Things Applications. International Journal of Cloud Applications and Computing, 10(1), 1-10.
2. Accelerating 3D medical volume segmentation using GPUs
3. Trust models of internet of smart things: A survey, open issues, and future directions
4. An identity attribute–based encryption using elliptic curve digital signature for patient health record maintenance;J.Athena;International Journal of Communication Systems, Wiley,2017
5. Providing security, integrity and authentication using ECC algorithm in cloud storage