Confidentiality Enhanced Security Model for Cloud Environment

2016 ◽  
Author(s):  
Anurag Jain ◽  
Rajneesh Kumar
Keyword(s):  
Security Model ◽  
Cloud Environment

Achieving Cloud Security Using a Third Party Auditor and Preserving Privacy for Shared Data Over a Public Cloud

2021 ◽  
pp. 1371-1391
Author(s):  
Vitthal Sadashiv Gutte ◽  
Sita Devulapalli
Keyword(s):  
Cloud Security ◽  
Third Party ◽  
Security Model ◽  
Cloud Environment ◽  
Public Cloud ◽  
Shared Data ◽  
Metadata File ◽  
Efficient Mechanisms ◽  
Different Levels ◽  
Access Security

Correctness of data and efficient mechanisms for data security, while transferring the file to and from Cloud, are of paramount importance in today's cloud-centric processing. A mechanism for correctness and efficient transfer of data is proposed in this article. While processing users request data, a set of attributes are defined and checked. States with attributes at different levels are defined to prevent unauthorized access. Security is provided while storing the data using a chunk generation algorithm and verification of chunks using lightweight Third-Party Auditor (TPA). TPA uses digital signatures to verify user's data that are generated by RSA with MD5 algorithms. The metadata file of generated chunks is encrypted using a modified AES algorithm. The proposed method prevents unauthorized users from accessing the data in the cloud environment, in addition to maintaining data integrity. Results of the proposed cloud security model implementation are discussed.

scholarly journals A Novel Hadoop Security Model for Addressing Malicious Collusive Workers

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Amr M. Sauber ◽  
Ahmed Awad ◽  
Amr F. Shawish ◽  
Passent M. El-Kafrawy
Keyword(s):  
Security Model ◽  
Cloud Environment ◽  
Master Node ◽  
Computing Model ◽  
System A ◽  
Proposed Model ◽  
Data Production ◽  
Hadoop Cluster ◽  
High Level ◽  
Novel Model

With the daily increase of data production and collection, Hadoop is a platform for processing big data on a distributed system. A master node globally manages running jobs, whereas worker nodes process partitions of the data locally. Hadoop uses MapReduce as an effective computing model. However, Hadoop experiences a high level of security vulnerability over hybrid and public clouds. Specially, several workers can fake results without actually processing their portions of the data. Several redundancy-based approaches have been proposed to counteract this risk. A replication mechanism is used to duplicate all or some of the tasks over multiple workers (nodes). A drawback of such approaches is that they generate a high overhead over the cluster. Additionally, malicious workers can behave well for a long period of time and attack later. This paper presents a novel model to enhance the security of the cloud environment against untrusted workers. A new component called malicious workers’ trap (MWT) is developed to run on the master node to detect malicious (noncollusive and collusive) workers as they convert and attack the system. An implementation to test the proposed model and to analyze the performance of the system shows that the proposed model can accurately detect malicious workers with minor processing overhead compared to vanilla MapReduce and Verifiable MapReduce (V-MR) model [1]. In addition, MWT maintains a balance between the security and usability of the Hadoop cluster.

A Randomized Cloud Library Security Environment

2014 ◽  
pp. 278-296
Author(s):  
A. V. N. Krishna
Keyword(s):  
Mathematical Model ◽  
Cloud Computing ◽  
Security Model ◽  
Cloud Environment ◽  
Plain Text ◽  
Security Environment ◽  
Diffie Hellman ◽  
Diffie Hellman Key Exchange ◽  
Authentication Security ◽  
Sufficient Strength

Cloud computing is leading the technology development of today’s communication scenario. This is because of its cost-efficiency and flexibility. In Cloud computing vast amounts of data are stored in varied and distributed environments, and security to data is of prime concern. RSA or Elliptic Curve Cryptography (ECC) provides a secure means of message transmission among communicating hosts using Diffie Hellman Key Exchange algorithm or ElGamal algorithm. By having key lengths of 160 bits, the ECC algorithm provides sufficient strength against crypto analysis and its performance can be compared with standard algorithms like RSA with a bit length of 1024 bits. In the present work, the plain text is converted to cipher text using RSA or ECC algorithms. As the proposed model is intended to be used in Cloud environment, a probabilistic mathematical model is also used. While the data is being retrieved from the servers, a query is being used which uses the mathematical model to search for the data which is still in encryption form. Final decryption takes place only at user’s site by using the private keys. Thus the security model provides the fundamental security services like Authentication, Security, and Confidentiality to the transmitted message and also provides sufficient strength against crypto analysis in Cloud environment.

scholarly journals Challenges and Issues in Cloud Security for WBAN applications - A Systematic Survey

2020 ◽  
pp. 34-47
Author(s):  
Gomathy B ◽  
Ramesh SM ◽  
Shanmugavadivel G
Keyword(s):  
Cloud Security ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Security Model ◽  
Cloud Environment ◽  
Body Area ◽  
Evaluation Strategies ◽  
Security Challenges ◽  
Privacy Issues ◽  
Comprehensive Study

A systematic and comprehensive review of privacy preserving and security challenges in cloud environment is presented in this literature. Since, cloud supports various applications, it requires immediate attention for serious security and privacy issues. Research must focus on efficient security mechanism for cloud-based networks, also it is essential to explore the techniques to maintain the integrity and confidentiality of the data. This paper highlights research challenges and directions concerning the security as a comprehensive study through intensive analysis of various literatures in the last decade, and it is summarized in terms of architecture types, evaluation strategies and security model. We surveyed, investigated and reviewed the articles in every aspect related to security and privacy preserving concepts and identified the following tasks: 1) architecture of wireless body area networks in cloud, 2) security and privacy in cloud based WBAN, 3), Cloud security and privacy issues in cloud 4) diverse authentication and cryptographic approaches, 4) optimization strategies to improve the security performance.

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