scholarly journals Fast Hybrid Cryptosystem for Enhancing Cloud Data Security Using Elliptic Curve Cryptography and DNA Computing

2020 ◽  
pp. 336-344
Author(s):  
Souad Hafidi ◽  
Fatima Amounas ◽  
Lahcen El Bermi ◽  
Moha Hajar
Keyword(s):  
Cloud Computing ◽  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Dna Computing ◽  
Data Transfer ◽  
Discrete Logarithm ◽  
Current Data ◽  
Cloud Services ◽  
Cloud Data ◽  
Cloud Server

Now a day’s Security in cloud computing is one of the broad areas for researchers. Cloud computing is a term that involve to deliver the services over the Internet. So, it requires the security upgrade in data transmission approach. One of the ways by which data in the Cloud be secured is cryptography. In fact, the high-quality cloud security can be achieved by efficient encrypting techniques. This paper investigates how the integrity and secure data transfer are improved based on the Elliptic Curve cryptography and DNA computing. Many researchers have tried to exploit the features of ECC field for security applications. In this paper, we attempt to develop a fast hybrid cryptosystem based on Elliptic Curve and DNA computing for providing security service such as confidentiality in the cloud services. The security of the proposed scheme is based on Elliptic Curve Discrete Logarithm Problem (ECDLP). Existing DNA based cryptography technique need more computational power and more processing time with larger key sizes to provide higher level of security. The main goal of our construction is to enhance the security of elliptic curve cryptosystem using DNA Computing. In this approach data stored on the cloud server in the encrypted form and even if data is accessed by the attacker, the attacker can't get the current data.

scholarly journals Storage and Communication Security in Cloud Computing Using a Homomorphic Encryption Scheme Based Weil Pairing

2020 ◽  
Vol 26 (1) ◽  
pp. 78-83
Author(s):  
Demet Cidem Dogan ◽  
Huseyin Altindis
Keyword(s):  
Cloud Computing ◽  
Elliptic Curve ◽  
Data Transfer ◽  
Homomorphic Encryption ◽  
Discrete Logarithm ◽  
Original Data ◽  
Bilinear Pairing ◽  
Encryption Scheme ◽  
Weil Pairing ◽  
Encrypted Data

With introduction of smart things into our lives, cloud computing is used in many different areas and changes the communication method. However, cloud computing should guarantee the complete security assurance in terms of privacy protection, confidentiality, and integrity. In this paper, a Homomorphic Encryption Scheme based on Elliptic Curve Cryptography (HES-ECC) is proposed for secure data transfer and storage. The scheme stores the data in the cloud after encrypting them. While calculations, such as addition or multiplication, are applied to encrypted data on cloud, these calculations are transmitted to the original data without any decryption process. Thus, the cloud server has only ability of accessing the encrypted data for performing the required computations and for fulfilling requested actions by the user. Hence, storage and transmission security of data are ensured. The proposed public key HES-ECC is designed using modified Weil-pairing for encryption and additional homomorphic property. HES-ECC also uses bilinear pairing for multiplicative homomorphic property. Security of encryption scheme and its homomorphic aspects are based on the hardness of Elliptic Curve Discrete Logarithm Problem (ECDLP), Weil Diffie-Hellman Problem (WDHP), and Bilinear Diffie-Helman Problem (BDHP).

User Confidentiality Protection in Cloud Computing Using Enhanced Elliptic Curve Cryptography (ECC) Algorithm

2017 ◽  
Vol 7 (11) ◽  
pp. 132 ◽  
Author(s):  
Abdu Osman
Keyword(s):  
Cloud Computing ◽  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Service Providers ◽  
Discrete Logarithm ◽  
Cloud Service ◽  
Galois Field ◽  
Business Partners ◽  
Prime Modulus ◽  
Confidentiality Protection

Abstract— a lot of customers are concerned about their weakness to attack if their critical IT resources are beyond the firewall. The tremendously scalable nature of cloud computing allows users to access vast amounts of data and use computing resources distributed across different interfaces. Cloud entities, such as cloud service providers, users and business partners, share the resources available at different levels of technological operations. This paper focuses on user confidentiality protection in cloud computing using enhanced elliptic curve cryptography (ECC) algorithm over Galois Field GF(2m). The Strength of the proposed ECC algorithm depends on the complexity of computing discrete logarithm in a large prime modulus, and the Galois Field allows mathematical operations to mix up data easily and effectively. The methodology used involves encrypting and decrypting data to ensure user confidentiality protection and security in the cloud. Results show that the performance of ECC over Galois Field, in two area of evaluation, was better than the ECC algorithm which is used for comparison purpose.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

Cloud-based services and customer satisfaction in the small and medium-sized businesses (SMBs)

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shurui Gao ◽  
Weidong Meng
Keyword(s):  
Cloud Computing ◽  
Customer Satisfaction ◽  
Human Resources ◽  
Data Security ◽  
Cloud Services ◽  
It Infrastructure ◽  
Content Type ◽  
Cloud Data ◽  
Start Ups ◽  
It Knowledge

PurposeCloud-based technologies are reliably improving Information Technology (IT) environment incorporating changes and modifications to the present business structure. Cloud computing enables small and medium-sized businesses (SMBs) to organize and exchange pertinent data and information in real time. This study checks out the influence of cloud-based services (IT infrastructure, expenses of cloud services, cloud data security and IT knowledge of human resources) on customers' satisfaction in SMBs.Design/methodology/approachCloud computing offers a way to coordinate and share organizational and personal information and data. The adoption of cloud services is one of the most emerging technological advances in the current competitive business environment. Cloud-based services allow start-ups or SMBs to take advantage of technological advancements and respond more quickly to changing consumer demands. In the available literature, cloud computing has received a lot of attention. However, there is also a research gap in creating a paradigm that links the value development drivers in the electronic industry with the leveraging impact of cloud and intercloud computing resources for start-ups and SMBs. A hypothetical model was constructed based on a literature review, and the associations between the latent variables were investigated utilizing structural equations.FindingsFindings from the study confirmed the validity of the proposed model for customer satisfaction assessment. Besides, the results showed that customer satisfaction is affected by cloud-based services in SMBs. The results illustrated that IT infrastructure influences customer satisfaction significantly and positively, with a T-value of 2.42. Also, the results confirmed that the cost of cloud services with a T-value of 2.68 affects customer satisfaction significantly and positively. Cloud data security also impacts customer satisfaction with a T-value of 5.20. The results also showed that the IT knowledge of human resources affects customer satisfaction with a T-value of 3.01.Originality/valueThe main originality of this research is proposing a new conceptual model to assess the impact of cloud-based services on the satisfaction of the customers in SMBs.

Optimal Elliptic Curve Cryptography-Based Effective Approach for Secure Data Storage in Clouds

2020 ◽  
Vol 11 (4) ◽  
pp. 65-81
Author(s):  
Anju Malik ◽  
Mayank Aggarwal ◽  
Bharti Sharma ◽  
Akansha Singh ◽  
Krishna Kant Singh
Keyword(s):  
Elliptic Curve ◽  
Data Storage ◽  
Elliptic Curve Cryptography ◽  
Search Algorithm ◽  
Distributed Storage ◽  
Data Retrieval ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Sensitive Data ◽  
Cloud Server

With the rapid development of cloud advancement, a data security challenge has emerged. In this paper, a technique based on elliptical cryptography and cuckoo search algorithm is proposed. With this technique, data owners securely store their data files in the cloud server. Initially the user sends a file storage request to store a file in a cloud server provider (CSP). The input file is checked whether it is sensitive or non-sensitive by the user. If the file is sensitive, then it would be split and stored in different virtual machines (VMs), and if the file is non-sensitive, then it would be assigned in a single VM. This approach was used for the first time as per the survey. To add further security, the sensitive data retrieval needs an encryption process that is supported by the proposed algorithm. If the data owner stores the sensitive data to cloud server, the data owner's document is encrypted by the double encryption technique. Here RSA and optimal elliptic curve cryptography (OECC) algorithm is used to encrypt the document with high security. The authors have used cuckoo search algorithm to identify the optimal key in ECC. This paper has proposed a novel cryptography approach for delivering mass distributed storage by which user's original data cannot be directly reached by cloud operators. Hence, this research has proved that the proposed work will give better securable data storage solving the security issues.

Cloud Load Balancing Algorithms: A Comparative Assessment

2019 ◽  
Vol 16 (9) ◽  
pp. 3989-3994
Author(s):  
Jaspreet Singh ◽  
Deepali Gupta ◽  
Neha Sharma
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Centers ◽  
Research Area ◽  
Comparative Assessment ◽  
Cloud Services ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Cloud Users

Nowadays, Cloud computing is developing quickly and customers are requesting more administrations and superior outcomes. In the cloud domain, load balancing has turned into an extremely intriguing and crucial research area. Numbers of algorithms were recommended to give proficient mechanism for distributing the cloud user’s requests for accessing pool cloud resources. Also load balancing in cloud should provide notable functional benefits to cloud users and at the same time should prove out to be eminent for cloud services providers. In this paper, the pre-existing load balancing techniques are explored. The paper intends to provide landscape for classification of distinct load balancing algorithms based upon the several parameters and also address performance assessment bound to various load balancing algorithms. The comparative assessment of various load balancing algorithms will helps in proposing a competent load balancing technique for intensify the performance of cloud data centers.

scholarly journals A Novel UDT-Based Transfer Speed-Up Protocol for Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhijie Han ◽  
Weibei Fan ◽  
Jie Li ◽  
Miaoxin Xu
Keyword(s):  
Cloud Computing ◽  
Data Transfer ◽  
Evaluation Model ◽  
Fog Computing ◽  
Middle Layer ◽  
Transport Layer ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Data Transfer Protocol ◽  
Bit Error Ratio

Fog computing is a distributed computing model as the middle layer between the cloud data center and the IoT device/sensor. It provides computing, network, and storage devices so that cloud based services can be closer to IOT devices and sensors. Cloud computing requires a lot of bandwidth, and the bandwidth of the wireless network is limited. In contrast, the amount of bandwidth required for “fog computing” is much less. In this paper, we improved a new protocol Peer Assistant UDT-Based Data Transfer Protocol (PaUDT), applied to Iot-Cloud computing. Furthermore, we compared the efficiency of the congestion control algorithm of UDT with the Adobe’s Secure Real-Time Media Flow Protocol (RTMFP), based on UDP completely at the transport layer. At last, we built an evaluation model of UDT in RTT and bit error ratio which describes the performance. The theoretical analysis and experiment result have shown that UDT has good performance in IoT-Cloud computing.

scholarly journals A lightweight secure CoAP for IoT-cloud paradigm using Elliptic-curve cryptography

2020 ◽  
Vol 20 (3) ◽  
pp. 1460
Author(s):  
Amrani Ayoub ◽  
Rafalia Najat ◽  
Abouchabaka Jaafar
Keyword(s):  
Cloud Computing ◽  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Mutual Authentication ◽  
Future Internet ◽  
New Paradigm ◽  
The Future ◽  
Secure Data Transmission ◽  
Iot Devices ◽  
The Internet Of Things

<span>Cloud Computing and the Internet of Things (IoT), two different technologies, are already part of our lives. Their impressive adoption increasing more and more, which makes them the future of the future internet. The tsunami of interconnectivity between objects and data collection is increasingly based on Cloud Computing, where data analysis and intelligence really reside. A new paradigm where the Cloud and the IoT are merged will create a new air in the world of technology, which can offer many services and applications useful to humanity. However, despite the great benefits that can bring this technology in term of new services, elasticity and flexibility, the security aspect still remains a serious constraint which hampers the expansion of this technology. This paper proposes a lightweight Mutual authentication protocol based on Constrained Application Protocol (CoAP); that is suitable for IoT devices than HTTP and using elliptic curve cryptography to secure data transmission between the Cloud and devices. We used the AVISPA tool to verify our proposed scheme.</span>

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