International Journal of Computer Networks and Applications

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Design a hybrid Optimization and Homomorphic Encryption for Securing Data in a Cloud Environment


Affiliations
1 Department of Computer Science, Chikkanna Government Arts College, Tirupur, Tamil Nadu, India
 

Cloud Computing (CC) is denoted as web-based computing that offers devices or users a shared pool of information, resources, or software. It permits small companies and end-users for making the use of different computational resources such as software, storage, and processing ability offered via other companies. But the main problem in CC is data security because of malware and attacks. So this paper developed a novel Hybrid Bat and Cuckoo-based Pallier Homomorphic Encryption (HBC-PHE) scheme for enhancing the data security of the cloud from malware and attacks. Initially, collected datasets are stored in the cloud using the python tool, and collected datasets are transferred into the developed HBC-PHE framework. At first, generate the key for each dataset and separate the private key for all datasets. Moreover, convert the plain text into ciphertext using the bat and cuckoo fitness function in PHE. Finally, cloud-stored data are encrypted successfully and the attained performance outcomes of the developed framework are associated with other existing techniques in terms of confidential rate, decryption time, encryption time, efficiency, and throughput. Additionally, the developed model gained a throughput of 654Kbps, decryption time of 0.05ms, encryption time of 0.08ms, and efficiency of 98.34% for 500kb. As well, the designed model gained a confidential rate of 98.7% and a computation time of 0.03s for using a 500 kb.

Keywords

Homomorphic Encryption, Secrete Key, Cloud Computing, Data Security, Attacks, Malware, Plain Text, Ciphertext.
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  • Design a hybrid Optimization and Homomorphic Encryption for Securing Data in a Cloud Environment

Abstract Views: 291  |  PDF Views: 1

Authors

Mercy Joseph
Department of Computer Science, Chikkanna Government Arts College, Tirupur, Tamil Nadu, India
Gobi Mohan
Department of Computer Science, Chikkanna Government Arts College, Tirupur, Tamil Nadu, India

Abstract


Cloud Computing (CC) is denoted as web-based computing that offers devices or users a shared pool of information, resources, or software. It permits small companies and end-users for making the use of different computational resources such as software, storage, and processing ability offered via other companies. But the main problem in CC is data security because of malware and attacks. So this paper developed a novel Hybrid Bat and Cuckoo-based Pallier Homomorphic Encryption (HBC-PHE) scheme for enhancing the data security of the cloud from malware and attacks. Initially, collected datasets are stored in the cloud using the python tool, and collected datasets are transferred into the developed HBC-PHE framework. At first, generate the key for each dataset and separate the private key for all datasets. Moreover, convert the plain text into ciphertext using the bat and cuckoo fitness function in PHE. Finally, cloud-stored data are encrypted successfully and the attained performance outcomes of the developed framework are associated with other existing techniques in terms of confidential rate, decryption time, encryption time, efficiency, and throughput. Additionally, the developed model gained a throughput of 654Kbps, decryption time of 0.05ms, encryption time of 0.08ms, and efficiency of 98.34% for 500kb. As well, the designed model gained a confidential rate of 98.7% and a computation time of 0.03s for using a 500 kb.

Keywords


Homomorphic Encryption, Secrete Key, Cloud Computing, Data Security, Attacks, Malware, Plain Text, Ciphertext.

References





DOI: https://doi.org/10.22247/ijcna%2F2022%2F214502