scholarly journals Securing Cloud Data using RSA Algorithm

Author(s):  
Md Equebal Hussain ◽  
Mohammad Rashid Hussain

security is one of the most important concern on cloud computing therefore institutions are hesitating to host their data over cloud. Not all data can be afforded to move on the cloud (example accounts data). The main purpose of moving data over cloud is to reduce cost (infrastructure and maintenance), faster performance, easy upgrade, storage capacity but at the same time security is major concern because cloud is not private but maintained by third party over the internet, security issues like privacy, confidentiality, authorization (what you are allowed to do), authentication (who you are) and accounting (what you actually do) will be encountered. Variety of encryption algorithms required for higher level of security. In this paper we try to provide solution for better security by proposing a combined method of key exchange algorithm with encryption technique. Data stored in cloud can be protected from hackers using proposed solution because even if transmitted key is hacked of no use without user’s private key.

2017 ◽  
Vol 7 (1.1) ◽  
pp. 64 ◽  
Author(s):  
S. Renu ◽  
S.H. Krishna Veni

The Cloud computing services and security issues are growing exponentially with time. All the CSPs provide utmost security but the issues still exist. Number of technologies and methods are emerged and futile day by day. In order to overcome this situation, we have also proposed a data storage security system using a binary tree approach. Entire services of the binary tree are provided by a Trusted Third Party (TTP) .TTP is a government or reputed organization which facilitates to protect user data from unauthorized access and disclosure. The security services are designed and implemented by the TTP and are executed at the user side. Data classification, Data Encryption and Data Storage are the three vital stages of the security services. An automated file classifier classify unorganized files into four different categories such as Sensitive, Private, Protected and Public. Applied cryptographic techniques are used for data encryption. File splitting and multiple cloud storage techniques are used for data outsourcing which reduces security risks considerably. This technique offers  file protection even when the CSPs compromise. 


2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang

As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.


Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage.


Author(s):  
Rabia Abid ◽  
Celestine Iwendi ◽  
Abdul Rehman Javed ◽  
Muhammad Rizwan ◽  
Zunera Jalil ◽  
...  

AbstractSecure and reliable exchange of information between devices is crucial for any network in the current digital world. This information is maintained on storage devices, routing devices, and communication over the cloud. Cryptographic techniques are used to ensure the secure transmission of data, ensuring the user’s privacy by storing and transmitting data in a particular format. Using encryption, only the intended user possessing the key can access the information. During data or essential transmission, the channel should be secured by using robust encryption techniques. Homomorphic Encryption (HE) techniques have been used in the past for this purpose. However, one of the flaws of the conventional HE is seen either in its slow transmission or fast key decryption. Thus, this paper proposes an optimized Homomorphic Encryption Chinese Remainder Theorem with a Rivest-Shamir-Adleman (HE-CRT-RSA) algorithm to overcome this challenge. The proposed Technique, HE-CRT-RSA, utilizes multiple keys for efficient communication and security. In addition, the performance of the HE-CRT-RSA algorithm was evaluated in comparison with the classical RSA algorithm. The result of the proposed algorithm shows performance improvement with reduced decryption time. It is observed that the proposed HE-CRT-RSA is 3–4% faster than the classical Rivest-Shamir-Adleman (RSA). The result also suggests that HE-CRT-RSA effectively enhances security issues of the cloud and helps to decrease the involvement of intruders or any third party during communication or inside the data/server centers.


2019 ◽  
pp. 2059-2083
Author(s):  
Thangavel M. ◽  
Varalakshmi P. ◽  
Sridhar S. ◽  
Sindhuja R.

Cloud computing has given a bloom to the technical world by providing various services. Data storage is the essential factor for the users who are having or working with lots and lots of data. Cloud data storage becomes the only way to store and maintain the large data, which can be accessed from anywhere and anytime. The open nature of cloud computing leads to some security issues. With respect to the cloud data storage, the Cloud Service Provider (CSP) has to provide security for the data outsourced. Data owner will be concerned on the data correctness after outsourcing into the cloud. To verify the data correctness, ensuring the state of data at the cloud data storage is needed, which is performed with the help of a Trusted Third Party Auditor (TTPA). Data owner can also perform the verification task, but it leads to computation cost and communication costs in huge amount. This survey gives a brief on public auditing schemes to explore what are all the system models designed by various researchers.


Author(s):  
Thangavel M. ◽  
Varalakshmi P. ◽  
Sridhar S. ◽  
Sindhuja R.

Cloud computing has given a bloom to the technical world by providing various services. Data storage is the essential factor for the users who are having or working with lots and lots of data. Cloud data storage becomes the only way to store and maintain the large data, which can be accessed from anywhere and anytime. The open nature of cloud computing leads to some security issues. With respect to the cloud data storage, the Cloud Service Provider (CSP) has to provide security for the data outsourced. Data owner will be concerned on the data correctness after outsourcing into the cloud. To verify the data correctness, ensuring the state of data at the cloud data storage is needed, which is performed with the help of a Trusted Third Party Auditor (TTPA). Data owner can also perform the verification task, but it leads to computation cost and communication costs in huge amount. This survey gives a brief on public auditing schemes to explore what are all the system models designed by various researchers.


2015 ◽  
Vol 23 (1) ◽  
pp. 73-101 ◽  
Author(s):  
Eugene Ferry ◽  
John O Raw ◽  
Kevin Curran

Purpose – The interoperability of cloud data between web applications and mobile devices has vastly improved over recent years. The popularity of social media, smartphones and cloud-based web services have contributed to the level of integration that can be achieved between applications. This paper investigates the potential security issues of OAuth, an authorisation framework for granting third-party applications revocable access to user data. OAuth has rapidly become an interim de facto standard for protecting access to web API data. Vendors have implemented OAuth before the open standard was officially published. To evaluate whether the OAuth 2.0 specification is truly ready for industry application, an entire OAuth client server environment was developed and validated against the speciation threat model. The research also included the analysis of the security features of several popular OAuth integrated websites and comparing those to the threat model. High-impacting exploits leading to account hijacking were identified with a number of major online publications. It is hypothesised that the OAuth 2.0 specification can be a secure authorisation mechanism when implemented correctly. Design/methodology/approach – To analyse the security of OAuth implementations in industry a list of the 50 most popular websites in Ireland was retrieved from the statistical website Alexa (Noureddine and Bashroush, 2011). Each site was analysed to identify if it utilised OAuth. Out of the 50 sites, 21 were identified with OAuth support. Each vulnerability in the threat model was then tested against each OAuth-enabled site. To test the robustness of the OAuth framework, an entire OAuth environment was required. The proposed solution would compose of three parts: a client application, an authorisation server and a resource server. The client application needed to consume OAuth-enabled services. The authorisation server had to manage access to the resource server. The resource server had to expose data from the database based on the authorisation the user would be given from the authorisation server. It was decided that the client application would consume emails from Google’s Gmail API. The authorisation and resource server were modelled around a basic task-tracking web application. The client application would also consume task data from the developed resource server. The client application would also support Single Sign On for Google and Facebook, as well as a developed identity provider “MyTasks”. The authorisation server delegated authorisation to the client application and stored cryptography information for each access grant. The resource server validated the supplied access token via public cryptography and returned the requested data. Findings – Two sites out of the 21 were found to be susceptible to some form of attack, meaning that 10.5 per cent were vulnerable. In total, 18 per cent of the world’s 50 most popular sites were in the list of 21 OAuth-enabled sites. The OAuth 2.0 specification is still very much in its infancy, but when implemented correctly, it can provide a relatively secure and interoperable authentication delegation mechanism. The IETF are currently addressing issues and expansions in their working drafts. Once a strict level of conformity is achieved between vendors and vulnerabilities are mitigated, it is likely that the framework will change the way we access data on the web and other devices. Originality/value – OAuth is flexible, in that it offers extensions to support varying situations and existing technologies. A disadvantage of this flexibility is that new extensions typically bring new security exploits. Members of the IETF OAuth Working Group are constantly refining the draft specifications and are identifying new threats to the expanding functionality. OAuth provides a flexible authentication mechanism to protect and delegate access to APIs. It solves the password re-use across multiple accounts problem and stops the user from having to disclose their credentials to third parties. Filtering access to information by scope and giving the user the option to revoke access at any point gives the user control of their data. OAuth does raise security concerns, such as defying phishing education, but there are always going to be security issues with any authentication technology. Although several high impacting vulnerabilities were identified in industry, the developed solution proves the predicted hypothesis that a secure OAuth environment can be built when implemented correctly. Developers must conform to the defined specification and are responsible for validating their implementation against the given threat model. OAuth is an evolving authorisation framework. It is still in its infancy, and much work needs to be done in the specification to achieve stricter validation and vendor conformity. Vendor implementations need to become better aligned in order to provider a rich and truly interoperable authorisation mechanism. Once these issues are resolved, OAuth will be on track for becoming the definitive authentication standard on the web.


In recent years, with the widespread application of cloud computing, more and more enterprises, institutions, and individuals have started to use cloud services to place their data in the cloud. With the rise of cloud services, the accompanying data security issues have received increasing attention. Because data stores are in the cloud, there are many outstanding security issues. This paper proposes a public cloud data security solution based on a trusted third-party platform. The solution is based on an independent and trusted third-party platform, and has certain advantages in data encryption, key management, data awareness, data sharing, and accident responsibility.


Cloud computing has become extremely popular. It is one of the fastest evolving technologies. It is mostly used in industrial IoT, where the data generated is huge. It has many advantages. But there are also a few security issues we have to deal with when it comes to using the cloud. Data plays a very significant role in cloud computing. But data breaching can collapse a business. Also, any third party can log in to these cloud servers and use the valuable data for various other purposes. So trustworthy security measures have to be taken, to make sure that the information is protected and misuse of data does not take place. A few biometric methods have been implemented, but it not very cost-effective. And since the data is stored on remote servers, the data can never be a hundred percent safe. A new system has to be implemented, which is both easy to execute and demands less cost. This paper discusses how Iris and Retina scanners can be put together to ensure the security of the data stored in the cloud servers.


2019 ◽  
Vol 8 (2) ◽  
pp. 2271-2273

Cloud computing is come out as computing network throughout web. Cloud information pamper accumulating of the data within the cloud additionally has sharing qualifications amid manifold clients. Since malfunction of human being or hardware and constant software package blunder, cloud information is interrelated to information veracity. Numerous systems have been anticipated in order to tolerate equally the data proprietors as well as the community auditors to review cloud data truthfulness unmistakably devoid of salvage the intact data commencing the cloud servers. A third party inspector can carry out reliability inspection and also the distinctiveness of the signer on collective information which is held in reserve private from them. Throughout this work, exploration for auditing the truthfulness of public information surrounded by the cloud with imaginative client deletion whereas immobile protecting distinctiveness seclusion. This work have predisposition to additionally improve presented method; formerly any patron revolutionize the consequence from table then it have a predisposition to scrutiny that is import and repeatedly refurbish inventive value.


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