scholarly journals Improved cloud data transfer security using hybrid encryption algorithm

2020 ◽  
Vol 20 (1) ◽  
pp. 521
Author(s):  
Samar Zaineldeen ◽  
Abdelrahim Ate
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Data Encryption ◽  
Remote Access ◽  
Security And Privacy ◽  
Encryption Algorithm ◽  
Memory Consumption ◽  
Hybrid Encryption ◽  
Encryption And Decryption ◽  
Encryption Algorithms

Cloud computing is a model of sophisticated computing which has a strong effect on data innovation. Cloud computing offers remote access to shared computerized assets in the stored cloud. Operationally cloud servers utilize Web services that give enormus advantage to the user in a variety of applications such as banking and finance, storage, social networking and e-mail. Cloud computing accomplishes many of the features interrelated to elasticity, ease of utility, efficiency and performance with low cost.  There are a number of potential concerns related to security and privacy since the requirement to protect cloud computing expanded, the encryption algorithms play the key part in data and information security systems, on side these algorithms consume a considerable quantity of computing resource.This paper,presenting  a new hybrid encryption algorithm emphasising  on AES and Enhanced Homomorphic Cryptosystem (EHC) as a hybrid encryption  to guarantee the secure exchange of data between the user and the cloud server, and compression study for two proficient homomorphic encryption techniques for encoding Data Encryption Standard (DES), Advance Encryption Stander (AES).With The proposed techniques an evaluation has been conducted for those encryption algorithms at diverse file sizes of data, to evaluate time taking for encryption and decryption, throughput, memory consumption and power consumption. The major finding was thats the proposed method has the extremity throughput; memory consumption and our proposed work took advantage of the least time taken in sec for encryption and decryption.

scholarly journals Enhancing cloud computing security by paillier homomorphic encryption

2021 ◽  
Vol 11 (2) ◽  
pp. 1771
Author(s):  
Muna Mohammed Saeed Altaee ◽  
Mafaz Alanezi
Keyword(s):  
Cloud Computing ◽  
Homomorphic Encryption ◽  
Security And Privacy ◽  
Proxy Server ◽  
Process Data ◽  
Encrypted Data ◽  
Rsa Algorithm ◽  
Encryption Algorithms ◽  
Will Force ◽  
Mathematical Operations

In recent years, the trend has increased for the use of cloud computing, which provides broad capabilities with the sharing of resources, and thus it is possible to store and process data in the cloud remotely, but this (cloud) is untrusted because some parties can connect to the network such as the internet and read or change data because it is not protected, therefore, protecting data security and privacy is one of the challenges that must be addressed when using cloud computing. Encryption is interested in the field of security, confidentiality and integrity of information that sent by a secure connection between individuals or institutions regardless of the method used to prepare this connection. But using the traditional encryption methods to encrypt the data before sending it will force the data provider to send his private key to the server to decrypt the data to perform computations on it. In this paper we present a proposal to secure banking data transmission through the cloud by using partially homomorphic encryption algorithms such as (paillier, RSA algorithm) that allow performing mathematical operations on encrypted data without needing to decryption. A proxy server will also use for performing re-encryption process to enhance security.

Effective Cryptographic Renewal Method with Rivest-Shamir-Adleman, Modified Artificial Bee Colony Optimization to Achieve Secure Cloud Storage and Computation in Cloud Computing

2020 ◽  
Vol 17 (6) ◽  
pp. 2699-2705
Author(s):  
Mayank Aggarwal ◽  
Anju Malik ◽  
Mani Madhukar
Keyword(s):  
Cloud Computing ◽  
Data Encryption ◽  
Security And Privacy ◽  
Online Information ◽  
Secret Key ◽  
Artificial Bee Colony Optimization ◽  
Bee Colony ◽  
Encryption And Decryption ◽  
User Data ◽  
Bee Colony Optimization

With the tremendous development of the online information, the term “Cloud Computing” offers multiple kinds of outsourcing and storage services to the user. Data security and privacy issues introduces multiple hurdles into it such as data leakage, calculating the key for data encryption, lack of proper security policies and renewal of application in cloud environment. One of the main issues is how to store encrypted data, decrypt it when required and renewal of application to face the security challenges. In this work we have proposed a secured and timestamp value based approach using RSA-MABC algorithm for encryption and decryption process. The work has been simulated in Cloudsim and results show our approach takes less time for encryption and decryption with added security features of renewing the secret key based on timestamp. Our results of encryption and decryption time along with the results of ttest shows that our work is better than exiting approaches.

Massive Data Hybrid Encryption Algorithm Based on Cloud Computing

2014 ◽  
Vol 651-653 ◽  
pp. 1864-1867
Author(s):  
Er Song Yang ◽  
Lin You ◽  
Zhen Dong Wu ◽  
Wang Ke Yu
Keyword(s):  
Cloud Computing ◽  
Hybrid Algorithm ◽  
Large Scale ◽  
Logistic Map ◽  
Structural Complexity ◽  
Data Encryption ◽  
Massive Data ◽  
One Dimensional ◽  
Hybrid Encryption ◽  
Encryption Algorithms

In order to ensure the security of massive data and user’s privacy in cloud computing, encrypting is a preferred method to protect their security. Due to some characteristics of massive data,such as large scale and structural complexity, it makes that the traditional encryption algorithms cannot be directly used to protect the security of massive data in cloud computing. Considering the real-time and reliability of encryption algorithms, we propose a hybrid algorithm, which combines DES algorithm and one-dimensional logistic map by using the parallel computing architecture of the MapReduce. Our experimental results and analysis show that our algorithm could effectively implement massive data encryption with high security.

scholarly journals Modified Fully Homomorphic Encryption based on Parallel Processing in Cloud Computing

2021 ◽  
pp. 250-262
Author(s):  
Parth Tandel ◽  
Abhinav Shubhrant ◽  
Mayank Sohani
Keyword(s):  
Cloud Computing ◽  
Parallel Processing ◽  
Data Security ◽  
Privacy Protection ◽  
Homomorphic Encryption ◽  
Security And Privacy ◽  
Fully Homomorphic Encryption ◽  
Privacy And Security ◽  
Encrypted Data ◽  
Encryption Algorithms

Cloud Computing is widely regarded as the most radically altering trend in information technology. However, great benefits come with great challenges, especially in the area of data security and privacy protection. Since standard cloud computing uses plaintext, certain encryption algorithms were implemented in the cloud for security reasons, and ‘encrypted' data was then stored in the cloud. Homomorphic Encryption (HE), a modern kind of encryption strategy, is born as a result of this change. Primarily, the paper will focus on implementing a successful Homomorphic Encryption (HE) scheme for polynomials. Furthermore, the objective of the paper is to propose, produce and implement a method to convert the already implemented sequentially processing Homomorphic Encryption into parallel processing Homomorphic Encryption (HE) using a Parallel Processing concept (Partitioning, Assigning, Scheduling, etc) and thereby producing a better performing Homomorphic Encryption (HE) called Fully Homomorphic Encryption (FHE). Fully Homomorphic Encryption (FHE) is an encryption technique that can perform specific analytical operations, functions and methods on normal or encrypted data and can still perform traditional encryption results as performed on plaintext. The three major reasons for implementing Fully Homomorphic Encryption (FHE) are advantages like no involvement of third parties, trade-off elimination between privacy and security and quantum safety.

A New Approach in Cloud Computing User Authentication

Web Services ◽  
2019 ◽  
pp. 1393-1410
Author(s):  
Alaa Hussein Al-Hamami ◽  
Rafal A. Al-Khashab
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
User Authentication ◽  
Low Cost ◽  
Remote Access ◽  
Security And Privacy ◽  
Main Concern ◽  
Security Measures ◽  
User Privacy ◽  
Is Security

Cloud computing provides the full scalability, reliability, high performance and relatively low cost feasible solution as compared to dedicated infrastructure. These features make cloud computing more attractive to users and intruders. It needs more and complex security measures to protect user privacy and data centers. The main concern in this chapter is security, privacy and trust. This chapter will give a discussion and a suggestion for using cloud computing to preserve security and privacy. The malicious hacker and other threats are considering the major cause of leaking security of the personal cloud due to centralized location and remote accesses to the cloud. According to attacks, a centralized location can be easier target rather than several goals and remote access is insecure technologies which offer a boundary of options for attackers to infiltrate enterprises. The biggest concern is attackers that will use the remote connection as a jumping point to get deeper into an organization.

Secure and Privacy Preserving Keyword Search over the Large Scale Cloud Data

2016 ◽  
pp. 200-215
Author(s):  
Wei Zhang ◽  
Jie Wu ◽  
Yaping Lin
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Keyword Search ◽  
Data Encryption ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Data Utilization ◽  
Cloud Data ◽  
Efficient Resource ◽  
Efficient Data

Cloud computing has attracted a lot of interests from both the academics and the industries, since it provides efficient resource management, economical cost, and fast deployment. However, concerns on security and privacy become the main obstacle for the large scale application of cloud computing. Encryption would be an alternative way to relief the concern. However, data encryption makes efficient data utilization a challenging problem. To address this problem, secure and privacy preserving keyword search over large scale cloud data is proposed and widely developed. In this paper, we make a thorough survey on the secure and privacy preserving keyword search over large scale cloud data. We investigate existing research arts category by category, where the category is classified according to the search functionality. In each category, we first elaborate on the key idea of existing research works, then we conclude some open and interesting problems.

scholarly journals Security and Privacy Issues of IoT at Fog Layer Architecture

2021 ◽  
Author(s):  
Vinay Michael
Keyword(s):  
Data Encryption ◽  
Security And Privacy ◽  
Delivery Ratio ◽  
User Privacy ◽  
Sensitive Data ◽  
Limited Bandwidth ◽  
Cipher Text ◽  
Computational Overhead ◽  
Encryption And Decryption ◽  
Encryption Decryption

Abstract Internet of Things (IoT) based applications and systems are gaining attention in the recent days because of their vast benefits such as efficient utilization of resources, enhanced data collection, improved security, lesser human efforts and reduced time. Security of sensitive data in IoT based fog environments is inevitable to prevent those data to be misused by the attackers. In this study, we present an improved hybrid algorithm termed as HQCP-ABE (Hybrid Quantum key Cipher text Policy Attribute based Encryption with Cipher text update) that integrates highly effective algorithms such as CP-ABE, Quantum key cryptography and cipher text update. The proposed algorithm eliminates the need of costly pairing during decryptions and efficiently performs data encryption, decryption and user authorization. The proposed protocol is demonstrated to be highly efficient in terms of encryption and decryption while compared to other existing methods. It also achieves lesser packet loss, reduced control overheads, reduced computational overhead during encryption and decryption processes, lesser delay, improved security, packet delivery ratio, throughput, network lifetime with limited bandwidth and user privacy. We further considered energy consumption in this study. The proposed HQCP-ABE method is demonstrated using ns3 simulation and compared with existing CP-ABE and PA-CPABE methods.

scholarly journals A Proposed Fully Homomorphic for Securing Cloud Banking Data at Rest

2020 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Zana Thalage Omar ◽  
Fadhil Salman Abed
Keyword(s):  
Homomorphic Encryption ◽  
Prime Numbers ◽  
Data Encryption ◽  
Theoretical Research ◽  
Significant Progress ◽  
Arithmetic Operations ◽  
Fully Homomorphic Encryption ◽  
Encrypted Data ◽  
Encryption And Decryption ◽  
Local Cloud

Fully homomorphic encryption (FHE) reaped the importance and amazement of most researchers and followers in data encryption issues, as programs are allowed to perform arithmetic operations on encrypted data without decrypting it and obtain results similar to the effects of arithmetic operations on unencrypted data. The first (FHE) model was introduced by Craig Gentry in 2009, and it was just theoretical research, but later significant progress was made on it, this research offers FHE system based on directly of factoring big prime numbers which consider open problem now, The proposed scheme offers a fully homomorphic system for data encryption and stores it in encrypted form on the cloud based on a new algorithm that has been tried on a local cloud and compared with two previous encryption systems (RSA and Paillier) and shows us that this algorithm reduces the time of encryption and decryption by 5 times compared to other systems.

scholarly journals Super-Encryption Cryptography with IDEA and WAKE Algorithm

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Robbi Rahim
Keyword(s):  
Data Encryption ◽  
Encryption Algorithm ◽  
Symmetric Cryptography ◽  
Cryptographic Algorithm ◽  
Encryption And Decryption ◽  
Long Time ◽  
International Data

The security and confidentiality of information becomes an important factor in communication, the use of cryptography can be a powerful way of securing the information, IDEA (International Data Encryption Algorithm) and WAKE (Word Auto Key Encryption) are some modern symmetric cryptography algorithms with encryption and decryption function are much faster than the asymmetric cryptographic algorithm, with the combination experiment IDEA and WAKE it probable to produce highly secret ciphertext and it hopes to take a very long time for cryptanalyst to decrypt the information without knowing the key of the encryption process.

scholarly journals A Secure and Efficient Lightweight Symmetric Encryption Scheme for Transfer of Text Files between Embedded IoT Devices

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 293 ◽  
Author(s):  
Sreeja Rajesh ◽  
Varghese Paul ◽  
Varun Menon ◽  
Mohammad Khosravi
Keyword(s):  
Encryption Algorithm ◽  
Symmetric Encryption ◽  
Embedded Devices ◽  
Lower Efficiency ◽  
Avalanche Effect ◽  
Encryption And Decryption ◽  
Encryption Algorithms ◽  
Iot Devices ◽  
Area Of Concern ◽  
The Internet Of Things

Recent advancements in wireless technology have created an exponential rise in the number of connected devices leading to the internet of things (IoT) revolution. Large amounts of data are captured, processed and transmitted through the network by these embedded devices. Security of the transmitted data is a major area of concern in IoT networks. Numerous encryption algorithms have been proposed in these years to ensure security of transmitted data through the IoT network. Tiny encryption algorithm (TEA) is the most attractive among all, with its lower memory utilization and ease of implementation on both hardware and software scales. But one of the major issues of TEA and its numerous developed versions is the usage of the same key through all rounds of encryption, which yields a reduced security evident from the avalanche effect of the algorithm. Also, the encryption and decryption time for text is high, leading to lower efficiency in IoT networks with embedded devices. This paper proposes a novel tiny symmetric encryption algorithm (NTSA) which provides enhanced security for the transfer of text files through the IoT network by introducing additional key confusions dynamically for each round of encryption. Experiments are carried out to analyze the avalanche effect, encryption and decryption time of NTSA in an IoT network including embedded devices. The results show that the proposed NTSA algorithm is much more secure and efficient compared to state-of-the-art existing encryption algorithms.

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