An Efficient Data Integrity Verification Method Supporting Multi-granular Operation with Commutative Hash

Enterprise IT Architecture Greenfield Design Combining IEC 62264 and TOGAF by Example of Battery Manufacturing

Cloud computing has been envisioned as next-generation architecture of IT enterprise.Cloud computing is the internet based model which delivers computing services on demand.Cloud storage moves the users data to large data centers, which are remotely located and on which user does not have any control.Apart having more benefits, this unique feature of the cloud also poses many new security challenges which need to be clearly understood and resolved.The important concerns that need to be addressed in cloud computing is to assure the integrity of data i.e. correctness of his data in the cloud.In this paper we provide a scheme which gives a proof of data integrity in the cloud which the customer can employ to check the correctness of his data in the cloud.This proof can be done by both the cloud and the customer and can be incorporated in the Service level agreement (SLA).Here we are encrypting the hash values and providing the more security.This scheme ensures that the storage at the client side is minimal which will be beneficial for thin clients.Here the computational time is minimized by using integrity and encryption methodology on the data in cloud .It should be noted that this scheme applies only to archive storage data.

This research aims to create an information technology architecture that will automate the company's business processes that focus on customer relationship management systems using a case study from PT Indorama. Enterprise IT Architecture must complement the vision and organizational goals and match the needs of business processes. As a result, creating IT blueprints is critical for businesses to make the future development of information systems easier. TOGAF ADM was used to create the IT architecture for this investigation. To integrate current system applications, Customer Relationship Management (CRM) based applications are used to complete various business tasks that are not currently enabled by the current application system. This research results in the design of an IT architecture to support the company's strategic plans through business process automation and answer predetermined challenges. Keywords” Enterprise Architecture, Customer Relationship Management, TOGAF ADM

With the advancements in technology, information systems are continually increasing in size and complexity. More and more businesses are looking to these systems to provide them with greater business efficiencies and services through consolidation and integration. Businesses are also using information systems to provide governance and directions by enabling quality decision support through system information analysis and related capabilities. The ability to successfully deliver these complex information systems is creating greater challenges for businesses and system developers. As a result, businesses are turning to a variety of enterprise architectures for policies and technical choices to achieve business standardization and integration requirements of the firm’s operating model. It is particularly important for asset management, since the operational technologies utilised in asset lifecycle management can also be classed as information systems. Technology management for asset management, thus, calls for an all encompassing architecture that caters for the individual needs of operational and information technologies, as well as that of their integration. There are a number of recognised architecture frameworks available today, many of which providing similar principles and strategies. However, all of these frameworks are unique in regards to how their frameworks are used and implemented. This paper develops the case for enterprise IT architectures in asset management and provides a comparison of architecture frameworks in relation to the strengths, weaknesses, opportunities and threats. The paper focuses on three recognised architecture frameworks and provides recommendations for additional considerations of each with reference to operational and information technologies for asset lifecycle management.

Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approximation (SA) tracks quantiles online by incrementally deriving and updating local approximations of the underly distribution function at the quantiles of interest. In this paper, we propose a generalization of the SA method for quantile estimation that allows not only data insertions, but also dynamic data operations such as deletions and updates.

Simulation modeling can be a key enabler and method for mitigating risk within the Department of Defense?s Enterprise Transformation, especially in the area of the IT systems that enable transformation. This paper provides a brief overview of the Air Force?s approach to enterprise architecture development and demonstrates how modeling and simulation (M&S) can be used to optimize Enterprise IT architecture design to meet the needs of operational end users.

With the growth of organizations, the scope and size of their information systems are getting bigger. The complexity of the business logic makes the legacy system low maintainability. By providing loose coupling, service oriented architecture (SOA) is becoming dominant enterprise IT architecture. How to identify reusable components from legacy system in future SOA system is becoming a hot research area. This paper proposes a multi-level architecture to meet the requirements of data separation in special organizations. Clustering technologies used to analyze and build components successfully are applied with component connectivity strength metric to distribute data and their relevant service components into levels for achieving SOA high performance, as well as flexibility and interoperation.

Enterprise architecture (EA) is the definition and representation of a high-level view of an enterprise's business processes and IT systems, their interrelationships, and the extent to which these processes and systems are shared by different parts of the enterprise. EA aims to define a suitable operating platform to support an organisation's future goals and the roadmap for moving towards this vision. Despite significant practitioner interest in the domain, understanding the value of EA remains a challenge. Although many studies make EA benefit claims, the explanations of why and how EA leads to these benefits are fragmented, incomplete, and not grounded in theory. This article aims to address this knowledge gap by focusing on the question: How does EA lead to organisational benefits? Through a careful review of EA literature, the paper consolidates the fragmented knowledge on EA benefits and presents the EA Benefits Model (EABM). The EABM proposes that EA leads to organisational benefits through its impact on four benefit enablers: Organisational Alignment, Information Availability, Resource Portfolio Optimisation, and Resource Complementarity. The article concludes with a discussion of a number of potential avenues for future research, which could build on the findings of this study.

Provable data deletion from efficient data integrity auditing and insertion in cloud storage

Identity-based remote data auditing schemes can verify data integrity and provide a simple identity authentication and management for multiple users. However, prior works on identity-based remote data auditing lack the support of dynamic operations. In these schemes, tag generation is linked to the index of data block, which is related to update operations such as modification, insertion and deletion. If users perform dynamic operations on a data block, the tags of all subsequent blocks need to be modified. It means that if users want to update data on a big data platform, they have to download the whole file, update the file and send the updated file to the big data platform. Such pattern will bring huge communication overhead. In this paper, we propose an identity-based dynamic data auditing scheme which supports dynamic data operations, including modification, insertion and deletion. As far as we know, there is still no other identity-based data auditing scheme that supports dynamic operations. In particular, to achieve efficient dynamic operations, we use the data structure of Merkle hash tree for block tag authentication, which helps update data with integrity assurance. Analyses of security and performance show that the proposed scheme is efficient and secure.

Enterprise Architecture (EA) has gained a lot of attention in literature and industry in recent years since it serves as valuable instrument to guide the enterprise through the transformation from a current to a future state by means of providing standardization, rules and principles. This ensures currently the best known way to achieve flexibility, reusability and a common understanding of the enterprise and its functions within the IT domain. The evolvement of EA is best captured by employing a maturity model which indicates the status quo of the EA and provides a means of further improving this evolvement. Several frameworks and approaches have been proposed throughout the years and we conducted an analysis of selected of EA Maturity frameworks in terms of five – in our opinion crucial - key characteristics. Moreover, as EA covers the enterprise IT holistically on a high level of abstraction, we found an overarching framework available for assessing all of the critical IT functions.

As cloud storage is extensively utilized in the contemporary digital age, assuring data integrity and conserving cloud storage space has become a priority for all. However, existing cross-user deduplication audit schemes conflict with the pay-as-you-go model, causing unnecessary costs and violating data isolation. Moreover, retaining a single copy of identical data across multiple users introduces maintenance challenges during data operations. To address these issues, we propose a new blockchain-enabled efficient deduplication and mixed auditing scheme which intricately integrates Message-Locked Encryption (MLE) to construct Homomorphic Verifiable Tags (HVTs), enabling deduplication without exposing confidential data. Our scheme supports single-user deduplication at both block and file levels, as well as plaintext-ciphertext mixed auditing, thereby preventing redundant payments while preserving data isolation to simplify maintenance during data operations and ownership transfers. By employing Elliptic Curve Cryptography (ECC) to encrypt keys and storing the encrypted keys on the blockchain, we ensure data confidentiality while reducing the burden of local key management. Leveraging blockchain-based smart contracts, we further design a self-auditing mechanism that eliminates reliance on trusted third-party auditors. Moreover, our scheme embraces dynamic data operations through an optimized Merkle Hash Tree (MHT) and enables secure cloud data ownership transfer via identity verification. Finally, we prove the correctness and security of our scheme and evaluate its performance through experiments and comparisons with state-of-the-art works, demonstrating its efficiency, particularly in the data upload phase.

Efficient dynamic multi-replica auditing for the cloud with geographic location

Investment companies need to keep up with emerging technologies if they want to remain competitive. If this pattern persists, the investment industry could lose many customers. Several reports stress the importance of rethinking the business model of the investing industry in the Fourth Industrial Revolution. Enterprise architecture is the way to go when controlling an organisation's information technology systems' structure, behaviour, and interconnections. Organisational activities and data flows can be better managed with the help of enterprise architecture. This study aims to help readers comprehend the investing business by delving into its fundamental ideas, advantages, disadvantages, and potential application settings. Enterprise architecture is how a business should run and how many components should collaborate. An all-encompassing architectural framework addressing enterprise IT, application software, and infrastructure are included in this analysis. The proposed design is aimed to facilitate the investment firm's incorporation of state-of-the-art technologies.

Cloud storage system enables storing of data in the cloud server efficiently and makes the user to work with the data without any trouble of the resources. In the existing system, the data are stored in the cloud using dynamic data operation with computation which makes the user need to make a copy for further updating and verification of the data loss. An efficient distributed storage auditing mechanism is planned which over comes the limitations in handling the data loss. In this paper the partitioning method is proposed for the data storage which avoids the local copy at the user side by using partitioning method. This method ensures high cloud storage integrity, enhanced error localization and easy identification of misbehaving server. To achieve this, remote data integrity checking concept is used to enhance the performance of cloud storage. In nature the data are dynamic in cloud; hence this work aims to store the data in reduced space with less time and computational cost.