scholarly journals A Review on Secure Storage Using Bidirectional Verification Techniques in Cloud Computing

2018 ◽  
Vol 7 (4.36) ◽  
pp. 511
Author(s):  
Mr. Girish kumar d ◽  
Dr. Rajashree v biradar ◽  
Dr. V c patil
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Virtual Machines ◽  
Cloud Service ◽  
Sensitive Information ◽  
Cloud Environment ◽  
It Industry ◽  
Cloud Data ◽  
Secure Storage ◽  
Verification Techniques

Cloud computing increases the capacity or capabilities vigorously without devoting new infrastructure, training new personnel, or licensing the new software . In the past few years, cloud computing has grown from being a promising business concept to one of the fast-growing sectors of IT industry. As the more sensitive information and data are moved into the cloud data centers, they run on virtual computing resources in the form of virtual machines. Security has become one of the major issue in cloud computing which reduces the growth of cloud environment with complications in data privacy and data protection continue to outbreak the market. A new model created for the advancement should not result as a threat to the existing model. The architecture of cloud poses such a threat to the security of existing models when deployed in a cloud environment. The different cloud service users need to be attentive in considerate,about the risk of data breaks in the new environment. In this paper, advanced survey of the various secured storage in cloud computing using bidirectional protocols is presented.  

scholarly journals Data Privacy Preservation using AES-GCM Encryption in Heroku Cloud

2019 ◽  
Vol 8 (3) ◽  
pp. 7544-7548
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Service Industry ◽  
Computational Cost ◽  
Cloud Service ◽  
Third Party ◽  
Sensitive Information ◽  
Cloud Data

The increasing popularity of cloud data storage and its ever-rising versatility, shows that cloud computing is one of the most widely excepted phenomena. It not only helps with powerful computing facilities but also reduce a huge amount of computational cost. And with such high demand for storage has raised the growth of the cloud service industry that provides an affordable, easy-to-use and remotely-accessible services. But like every other emerging technology it carries some inherent security risks associated and cloud storage is no exception. The prime reason behind it is that users have to blindly trust the third parties while storing the useful information, which may not work in the best of interest. Hence, to ensure the privacy of sensitive information is primarily important for any public, third-party cloud. In this paper, we mainly focus on proposing a secure cloud framework with encrypting sensitive data’s using AES-GCM cryptographic techniques in HEROKU cloud platform. Here we tried to implement Heroku as a cloud computing platform, used the AES-GCM algorithm and evaluate the performance of the said algorithm. Moreover, analyses the performance of AES/GCM execution time with respect to given inputs of data

On Data Security and Encryption Algorithms in Cloud Environment

2014 ◽  
Vol 701-702 ◽  
pp. 1106-1111 ◽  
Author(s):  
Xin Zheng Zhang ◽  
Ya Juan Zhang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Service Providers ◽  
Cloud Service ◽  
Working Environment ◽  
Cloud Environment ◽  
Cloud Data ◽  
Security Issues ◽  
Encryption Algorithms

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.

Security Flaws and Design Issues in Cloud Infrastructure

2019 ◽  
pp. 52-61
Keyword(s):  
Cloud Computing ◽  
Cloud Service ◽  
Vital Role ◽  
Sensitive Information ◽  
Cloud Infrastructure ◽  
Cloud Data Center ◽  
Sensitive Data ◽  
Cloud Service Provider ◽  
Cloud Data ◽  
Malicious Intent

Information security plays a vital role in cloud computing. Sensitive information should be kept in secure mode for providing integrity and confidentiality from insiders and outsiders. An insider is an employee who has legitimate access to cloud resources which are hosted at cloud data center. They can perform malicious activities on consumer sensitive data with or without malicious intent. This security beach is obvious and the provider needs to protect from such attacks. In this chapter, insider attacks are demonstrated with empirical approach to breach consumer-sensitive data. In this chapter, the authors present the threat models where an insider can manipulate user VMs in the node controller of cloud platform. Here, they assume that cloud service provider is malicious and cloud consumer does not have any security constraints to access their cloud assets. The model described two locations in the cloud infrastructure.

scholarly journals An efficient and secure data storage in cloud computing using modified RSA public key cryptosystem

2020 ◽  
Vol 10 (1) ◽  
pp. 530
Author(s):  
Y. Kiran Kumar ◽  
R. Mahammad Shafi
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Privacy ◽  
Service Providers ◽  
Cloud Service ◽  
Public Key ◽  
Public Key Cryptosystem ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Software Licensing

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers.  Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>

scholarly journals Data Service Trust Measurement in Cloud Environment

2019 ◽  
Author(s):  
Lin Shi ◽  
Zilong Wang ◽  
Ning Chen ◽  
Jie Chen
Keyword(s):  
Cloud Computing ◽  
Web Application ◽  
Virtual Machines ◽  
Management Service ◽  
Cloud Environment ◽  
Computing Environment ◽  
Optimization Scheme ◽  
Processing Scheme ◽  
Cloud Computing Environment ◽  
Cloud Data

Abstract Highly trusted issues will be one of the main obstacles to a new era of highly trusted cloud computing. In the cloud computing environment, because sensitive applications and user data are put into the cloud, they run in virtual machines in the data center. Among them, due to the existence of access vulnerability, virtualization vulnerability, web application vulnerability, etc., high trust issues arise from data control, identity authentication, lack of information and other related issues. The introduction of trust mechanisms can be very facilitate the solution of related issues, achieve highly trusted quantification, analysis, and modeling of cloud data centers, meet high trust requirements, and provide users with a highly trusted cloud computing environment. This article mainly studies the trust measure of data services in cloud environment. In this paper, the optimization scheme is verified through experiments, and the traditional big data processing scheme, the original Sahara and the optimization scheme are compared in six cases. Overall, the optimization scheme has a significant performance improvement. Compared with the default configuration of Sahara, the configuration of the new interface has increased the throughput in DFSIO by 120%. Using the design of the unified cache management service, Tachyon can reach 13 in specific situations. In the execution time of Sort workloads, the optimization scheme generally decreased by about 50% compared to the original Sahara, and the memory utilization increased from 80% to 96% in our experiments, but in the cache isolation and other areas need to be improved. The results are basically in line with expectations, which also confirms the rational thinking and value of this article on BDAaS performance research.

scholarly journals Mobile Cloud Data Privacy using Lightweight Data Sharing System

2019 ◽  
Vol 8 (4) ◽  
pp. 8137-8141
Keyword(s):  
Access Control ◽  
Data Sharing ◽  
Data Privacy ◽  
Cloud Service ◽  
Mobile Cloud ◽  
Cloud Environment ◽  
Cloud Data ◽  
Security Problem ◽  
Share Data ◽  
Control Tree

The data security problem in mobile cloud becomes more and more severe and it prevents further development of mobile cloud. There are substantial studies that have been conducted to improve the cloud security. However the most of them are not applicable for mobile cloud since mobile devices only have limited computing resources and power. So we propose a light weight data sharing scheme (LDSS) for mobile computing it adopts CP-ABE (Cipher text policy attribute based encryption) an access control technology using normal cloud environment but changes a structure of access control tree to make suitable for mobile cloud environment. It is important to use the resources provided by Cloud Service Provide to store and share data. Thus LDSS can effectively reduce the over head on the mobile device side when users are sharing a data in mobile cloud environment..

scholarly journals Role of Data Hiding Techniques for Detection of Virtual Disks in Cloud Environment

2020 ◽  
Vol 8 (5) ◽  
pp. 151-156
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Data Hiding ◽  
Service Provider ◽  
Data Center ◽  
Virtual Machines ◽  
Cloud Service ◽  
Cloud Environment ◽  
Complete Control ◽  
Public Data

In today's era, cloud computing is very popular and the most widly used technique to store the data. As we know more than 75% of the data that is used in internet services and applications is being stored on the maximum cloud only. Where our data is stored in the cloud, it is called data center, there are two important roles in cloud computing technology, one is cloud customer and the other is cloud service provider. The complete control and monitoring at the public data center is of the service provider itself, the user is kept away from the information of the location of the data center and its access credentials. This means that the user has absolutely no information about the virtual machine hard disk, and their access locations. Whenever any forensic inquiry comes in the cloud environment, the Investigator and forensic expert first have to find out about the virtual machine disk and its location in the cloud, which is a very challenging and difficult task in the cloud environment. In this paper we have developed a new process that detects virtual machines using data hiding techniques. To prove this new algorithm, we have performed an experiment using Oracle VirtualBox 6.0 on OpenSUSE virtual machine.

scholarly journals Intelligent SLA-Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jitendra Kumar Samriya ◽  
Subhash Chandra Patel ◽  
Manju Khurana ◽  
Pradeep Kumar Tiwari ◽  
Omar Cheikhrouhou
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Large Scale ◽  
Virtual Machines ◽  
Search Algorithm ◽  
Cloud Service ◽  
Resource Provisioning ◽  
Emperor Penguin ◽  
Cloud Environment ◽  
Machine Allocation

Cloud computing is the most prominent established framework; it offers access to resources and services based on large-scale distributed processing. An intensive management system is required for the cloud environment, and it should gather information about all phases of task processing and ensuring fair resource provisioning through the levels of Quality of Service (QoS). Virtual machine allocation is a major issue in the cloud environment that contributes to energy consumption and asset utilization in distributed cloud computing. Subsequently, in this paper, a multiobjective Emperor Penguin Optimization (EPO) algorithm is proposed to allocate the virtual machines with power utilization in a heterogeneous cloud environment. The proposed method is analyzed to make it suitable for virtual machines in the data center through Binary Gravity Search Algorithm (BGSA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO). To compare with other strategies, EPO is energy-efficient and there are significant differences. The results of the proposed system have been evaluated through the JAVA simulation platform. The exploratory outcome presents that the proposed EPO-based system is very effective in limiting energy consumption, SLA violation (SLAV), and enlarging QoS requirements for giving capable cloud service.

scholarly journals AN ENHANCED TASK ALLOCATION STRATEGY IN CLOUD ENVIRONMENT

2017 ◽  
Vol 16 (6) ◽  
pp. 6953-6961
Author(s):  
Kavita Redishettywar ◽  
Prof. Rafik Juber Thekiya
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Virtual Machine ◽  
Data Centers ◽  
Job Scheduling ◽  
Virtual Machines ◽  
Cloud Environment ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Load Balancing Algorithm

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Interne technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing ensures that no single node will be overloaded and used to distribute workload among multiple nodes. It helps to improve system performance and proper utilization of resources. We propose an improved load balancing algorithm for job scheduling in the cloud environment using K-Means clustering of cloudlets and virtual machines in the cloud environment. All the cloudlets given by the user are divided into 3 clusters depending upon client’s priority, cost and instruction length of the cloudlet. The virtual machines inside the datacenter hosts are also grouped into multiple clusters depending upon virtual machine capacity in terms of processor, memory, and bandwidth. Sorting is applied at both the ends to reduce the latency. Multiple number of experiments have been conducted by taking different configurations of cloudlets and virtual machine. Various parameters like waiting time, execution time, turnaround time and the usage cost have been computed inside the cloudsim environment to demonstrate the results. Compared with the other job scheduling algorithms, the improved load balancing algorithm can outperform them according to the experimental results.

scholarly journals Multiple Authority Based Data Fragmentation Technique for Providing Secure Storage in Cloud

2019 ◽  
Vol 8 (4) ◽  
pp. 4822-4825
Keyword(s):  
Cloud Computing ◽  
Single Point ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Key Escrow ◽  
Cloud Data ◽  
Secure Storage ◽  
Data Owner ◽  
Data Fragmentation ◽  
Multiple Services

The existing works on security storage in cloud computing cause overhead, data correctness issue, key escrow problem, single point of failure and so on. This develops Multiple Authority based Data Fragmentation Technique for providing Secure Storage in Cloud Computing. It aims to avoid the key escrow and single point of failure issues of secure storage. In this technique, the Cloud Service Provider (CSP) provides multiple services for a client, the trusted and verification authorities are responsible for jointly creating the master key and system parameters and the Cloud Data Owner (CDO) encrypts the documents using CP-ABE. In order to provide data recoverability, a file is divided into blocks and sectors. Probabilistic algorithm checks the integrity of fragmented file. By simulating, the proposed technique reduces the overhead and data failures.

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