Optimizing Fully Homomorphic Encryption Algorithm using RSA and Diffie- Hellman Approach in Cloud Computing

Negi, Aparna; Goyal, Anshika

doi:10.26438/ijcse/v6i5.215220

Cited by 3 publications

(2 citation statements)

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“…Lesser the number of bits, lesser will be the consumption of energy for transmission of data and lesser amount of storage space is required in sensor nodes [54]. This will increase the speed of data packet transfer, eliminates the redundancy of sensed data, provides space and time efficiency, decrease costs for storage hardware and increases network bandwidth [55]- [57]. Several criteria have been used for the performance evaluation of Huffman data compression algorithm that is described in Equation 3 to Equation 11.…”

Section: Compression Modelmentioning

confidence: 99%

Optimized Energy Efficient Secure Routing Protocol for Wireless Body Area Network

et al. 2021

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Fast growing age demographics, sedentary lifestyle, increasing chronic diseases, shortage of medical facilities and huge costs for healthcare treatment have arisen the need for ubiquitous as well as inexpensive healthcare services. A huge part of the cost in providing healthcare is utilized in frequent patient's visits and continual monitoring of the chronically ill patients. Wireless Body Area Network (WBAN) has offered promising outcomes for Quality of Service (QoS) in the healthcare system. Nevertheless, it is constrained with restricted battery power of sensors, security and privacy issues for its complete adoption. Henceforth, security, privacy and energy efficiency issues need to be addressed well with optimal solutions. The current work proposes an Optimized Energy Efficient Secure Routing Protocol (OEESR) that minimizes network congestion, provides secure data transmission and selects the most optimal route in the network. The performance of OEESR protocol is contrasted with other state-of-art protocols. The results show that OEESR is highly secure and achieves 90% throughput with 8.8% of overall energy consumption. It is having only 13% of packet dropping rate with respect to transmission power.INDEX TERMS Compression, energy efficient, routing protocol, security, wireless body area network.

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Section: Compression Modelmentioning

confidence: 99%

Optimized Energy Efficient Secure Routing Protocol for Wireless Body Area Network

et al. 2021

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“…C Loud Computing (CC) is an environment that provides on-demand access, through the network, to computational resources such as storage, servers, applications, and other services, which the customer can efficiently aggregate or release [1]. Customers can rapidly create cloud services in distributed cloud data centers where they can store and process their data, and deploy and efficiently run their applications [2].…”

Section: Introductionmentioning

confidence: 99%

Monitoring File Integrity Using Blockchain and Smart Contracts

et al. 2020

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The adoption of cloud computing solutions is an established reality in government agencies and in small, medium, and large companies due to procurement easiness and the variety of available services, as well as its low cost compared to the acquisition and management of own infrastructures. Among the most used services is cloud file storage, and the security of this storage has been an essential subject of recent research, particularly customer data integrity. Thus, this article proposes a solution for the monitoring of the integrity of files stored in the cloud, based on the use of smart contracts in Blockchain Networks, symmetric encryption, and computational trust. The proposed solution consists of a protocol that provides confidentiality, decentralization, audit availability, and the secure sharing of file integrity monitoring results, without overloading the services involved, as well as an unabridged reference implementation which was used to validate the proposal. The results obtained during the validation tests have shown that the solution is feasible and faultless in detecting corrupted files. These tests also confirmed that the sharing of integrity monitoring results, coupled with the application of computational trust techniques, significantly increased the efficiency of the proposed solution.

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