Optimal Data Deduplication In Cloud With Authorization

Cloud technology is widely used technology as it allows sharing and centralized storage of data, sharing of data processing and online access of computer services and resources on various types of devices. One of the critical challenges of cloud storage services is the management of the ever-increasing volume of data .To address these data deduplication is one of the novel technique. Deduplication helps to remove and prevent from having duplicate copies of same data. Though deduplication has several benefits it adds concerns related to privacy and security of users as it can lead to insider or outsider attacks. Achieving deduplication along with data security in cloud environment makes it more critical problem to solve. Objective of this paper on Optima Authorized Data Deduplication in Cloud is to mention the proposed system and analysis of deduplication techniques and optimal authorization measures for security along with deduplication technique in cloud environment DOI: 10.17762/ijritcc2321-8169.15073

New Organizational Challenges in a Digital World: Securing Cloud Computing Usage and Reacting to Asset-Sharing Platform Disruptions

Information technology (IT) and IT-enabled business models are transforming the business ecosystem and posing new challenges for existing companies. This two-essay dissertation examines two such challenges: cloud security and the disruption of asset-sharing business models.The first essay examines how an organizations usage of cloud storage affects its likelihood of accidental breaches. The quasi-experiment in the U.S. healthcare sector reveals that organizations with higher levels of digitalization (i.e., Electronic Health Records levels) or those with more IT applications running on their internal data center are less likely to experience accidental breaches after using public cloud storage. We argue that digitalization and operational control over IT applications increase organizations awareness and capabilities of establishing a company-wide security culture, thereby reducing negligence related to physical devices and unintended disclosure after adopting cloud storage. The usage of cloud storage is more likely to cause accidental breaches for organizations contracting to more reputable or domain expert vendors. We explain this result as the consequence of less attention being focused on securing personally accessible data and physical devices given high reliance on reputed and knowledgeable cloud providers. This research is among the first to empirically examine the actual security impacts of organizations cloud storage usage and offers practical insights for cloud security management.The second essay examines how Asset-Sharing Business Model Prevalence (ASBMP) affects the performance implications of industry incumbent firms competitive actions when faced with entrants with asset-sharing business models, like Airbnb. ASBMP represents the amount of third-party products and services that originally were unavailable inside the traditional business model but now are orchestrated by asset-sharing companies in an industry. We use texting mining and econometrics approaches to analyze a longitudinal dataset in the accommodation industry. Our results demonstrate that incumbents competitive action repertoires (i.e., action volume, complexity, and heterogeneity) increase their performance when the ASBMP is high but decrease incumbents performance when the ASBMP is low. Practically, incumbents who are facing greater threat from asset-sharing firms can implement more aggressive competitive action repertoires and strategically focus on new product and M&A strategies. This research contributes to the literature of both competitive dynamics and asset-sharing business models

Security and Privacy Attribute Based Data Sharing in Public Cloud Storage

Public cloud storage is a cloud storage model that give services to people and associations to store, alter and oversee data. Public cloud storage benefit is otherwise called storage benefit, utility storage and online storage. Cloud storage has numerous focal points, there is still stay different difficulties among which protection and security of clients data have significant issues in public cloud storage. Attribute Based Encryption (ABE) is a cryptographic system which gives data proprietor coordinate control over their data in public cloud storage. In the customary ABE conspire include single authority to keep up attribute set which can bring a solitary point bottleneck on both security and execution. Presently we utilize edge multi-authority Cipher content Policy Attribute-Based Encryption (CP-ABE) get to control plot, name TMACS. TMACS is Threshold Multi-Authority Access Control System. In TMACS, different authority mutually deals with the entire attribute set yet nobody has full control of a particular attribute. By joining limit secret sharing (t,n) and multi-authority CP-ABE conspire, we created dynamic multiauthority get to control framework in public cloud storage

Multiple Authorities Access under Public Cloud Storage: Review

Public cloud storage is a cloud storage model that provide services to individuals and organizations to store, edit and manage data. Public cloud storage service is also known as storage service, utility storage and online storage. Cloud storage has many advantages, there is still remain various challenges among which privacy and security of users data have major issues in public cloud storage. Attribute Based Encryption(ABE) is a cryptographic technique which provides data owner direct control over their data in public cloud storage. In the traditional ABE scheme involve only one authority to maintain attribute set which can bring a single-point bottleneck on security and performance. Now we use threshold multi-authority Cipher text-Policy Attribute-Based Encryption (CP-ABE) access control scheme, name TMACS. TMACS is Threshold Multi-Authority Access Control System. In TMACS, multiple authority jointly manages the whole attribute set but no user has full control of any specific attribute. By combining threshold secret sharing (t,n) and multi-authority CP-ABE scheme, we developed efficient multi-authority access control system in public cloud storage

Multiple Authorities Access under Public Cloud Storage

Public cloud storage is a cloud storage model that provide services to individuals and organizations to store, edit and manage data. Public cloud storage service is also known as storage service, utility storage and online storage. Cloud storage has many advantages, there is still remain various challenges among which privacy and security of users data have major issues in public cloud storage. Attribute Based Encryption(ABE) is a cryptographic technique which provides data owner direct control over their data in public cloud storage. In the traditional ABE scheme involve single authority to maintain attribute set which can bring a single-point bottleneck on both security and performance. Now we use threshold multi-authority Cipher text-Policy Attribute-Based Encryption (CP-ABE) access control scheme, name TMACS. TMACS is Threshold Multi-Authority Access Control System. In TMACS,multiple authority jointly manages the whole attribute set but no one has full control of any specific attribute. By combining threshold secret sharing (t,n) and multi-authority CP-ABE scheme, we developed efficient multi-authority access control system in public cloud storage

Secure Data Sharing and Collaboration in the Cloud

Cloud technology can be leveraged to enable data-sharing capabilities, which can benefit the user through greater productivity and efficiency. However, the Cloud is susceptible to many privacy and security vulnerabilities, which hinders the progress and widescale adoption of data sharing for the purposes of collaboration. Thus, there is a strong demand for data owners to not only ensure that their data is kept private and secure in the Cloud, but to also have a degree of control over their own data contents once they are shared with data consumers. Specifically, the main issues for data sharing in the Cloud include key management, security attacks, and data-owner access control. In terms of key management, it is vital that data must first be encrypted before storage in the Cloud, to prevent privacy and security breaches. However, the management of encryption keys is a great challenge. The sharing of keys with data consumers has proven to be ineffective, especially when considering data-consumer revocation. Security attacks may also prevent the widescale usage of the Cloud for data-sharing purposes. Common security attacks include insider attacks, collusion attacks, and man-in-the-middle attacks. In terms of access control, authorised data consumers could do anything they wish with an owner's data, including sending it to their peers and colleagues without the data owner's knowledge. Throughout this thesis, we investigate ways in which to address these issues. We first propose a key partitioning technique that aims to address the key management problem. We deploy this technique in a number of scenarios, such as remote healthcare management. We also develop secure data-sharing protocols that aim to mitigate and prevent security attacks on the Cloud. Finally, we focus on giving the data owner greater control, by developing a self-controlled software object called SafeProtect

Multiple Authorities Access under Public Cloud Storage

Public cloud storage is a cloud storage model that provide services to individuals and organizations to store, edit and manage data. Public cloud storage service is also known as storage service, utility storage and online storage. Cloud storage has many advantages, there is still remain various challenges among which privacy and security of users data have major problem in public cloud storage. Attribute Based Encryption(ABE) is a cryptographic technique which provides data owner direct control over their data in public cloud storage. In the traditional ABE scheme involve only single authority to maintain attribute set which can bring a single-point bottleneck on both security and performance. Now we use threshold multi-authority Cipher Text-Policy Attribute-Based Encryption (CP-ABE) access control scheme, name TMACS. TMACS is Threshold Multi-Authority Access Control System. In TMACS,multiple authority jointly manages the whole attribute set but no one has full control of any specific attribute. By combining threshold secret sharing (t,n) and multi-authority CP-ABE scheme, we developed efficient multi-authority access control system in public cloud storage

Enhance Data Security Protection for Data Sharing in Cloud Storage System

Cloud computing technology can be used in all types of organizations. There are many benefits to use cloud storage. The most notable is data accessibility. Data stored in the cloud can be accessed at any time any place. Another advantage of cloud storage is data sharing between users. By sharing storage and networks with many users it is also possible for unauthorized users to access our data. To provide confidentiality of shared sensitive data, the cryptographic techniques are applied. So protect the data from unauthorized users, the cryptographic key is main challenge. In this method a data protection for cloud storage 1) The key is protected by two factors: Secret key is stored in the computer and personal security device 2) The key can be revoked efficiently by implementing proxy re-encryption and key separation techniques. 3) The data is protected in a fine grained way by adopting the attribute based encryption technique. So our proposed method provides confidentiality on data

Security comparison of ownCloud, Nextcloud, and Seafile in open source cloud storage solutions

Cloud storage has become one of the most efficient and economical ways to store data over the web. Although most organizations have adopted cloud storage, there are numerous privacy and security concerns about cloud storage and collaboration. Furthermore, adopting public cloud storage may be costly for many enterprises. An open-source cloud storage solution for cloud file sharing is a possible alternative in this instance. There is limited information on system architecture, security measures, and overall throughput consequences when selecting open-source cloud storage solutions despite widespread awareness. There are no comprehensive comparisons available to evaluate open-source cloud storage solutions (specifically owncloud, nextcloud, and seafile) and analyze the impact of platform selections. This thesis will present the concept of cloud storage, a comprehensive understanding of three popular open-source features, architecture, security features, vulnerabilities, and other angles in detail. The goal of the study is to conduct a comparison of these cloud solutions so that users may better understand the various open-source cloud storage solutions and make more knowledgeable selections. The author has focused on four attributes: features, architecture, security, and vulnerabilities of three cloud storage solutions ("ownCloud," "Nextcloud," and "Seafile") since most of the critical issues fall into one of these classifications. The findings show that, while the three services take slightly different approaches to confidentiality, integrity, and availability, they all achieve the same purpose. As a result of this research, the user will have a better understanding of the factors and will be able to make a more informed decision on cloud storage options