1,399 research outputs found

    Secure data sharing and processing in heterogeneous clouds

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    The extensive cloud adoption among the European Public Sector Players empowered them to own and operate a range of cloud infrastructures. These deployments vary both in the size and capabilities, as well as in the range of employed technologies and processes. The public sector, however, lacks the necessary technology to enable effective, interoperable and secure integration of a multitude of its computing clouds and services. In this work we focus on the federation of private clouds and the approaches that enable secure data sharing and processing among the collaborating infrastructures and services of public entities. We investigate the aspects of access control, data and security policy languages, as well as cryptographic approaches that enable fine-grained security and data processing in semi-trusted environments. We identify the main challenges and frame the future work that serve as an enabler of interoperability among heterogeneous infrastructures and services. Our goal is to enable both security and legal conformance as well as to facilitate transparency, privacy and effectivity of private cloud federations for the public sector needs. © 2015 The Authors

    Secure Cloud Storage: A Framework for Data Protection as a Service in the Multi-cloud Environment

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    This paper introduces Secure Cloud Storage (SCS), a framework for Data Protection as a Service (DPaaS) to cloud computing users. Compared to the existing Data Encryption as a Service (DEaaS) such as those provided by Amazon and Google, DPaaS provides more flexibility to protect data in the cloud. In addition to supporting the basic data encryption capability as DEaaS does, DPaaS allows users to define fine-grained access control policies to protect their data. Once data is put under an access control policy, it is automatically encrypted and only if the policy is satisfied, the data could be decrypted and accessed by either the data owner or anyone else specified in the policy. The key idea of the SCS framework is to separate data management from security management in addition to defining a full cycle of data security automation from encryption to decryption. As a proof-of-concept for the design, we implemented a prototype of the SCS framework that works with both BT Cloud Compute platform and Amazon EC2. Experiments on the prototype have proved the efficiency of the SCS framework

    Reconfigurable Security: Edge Computing-based Framework for IoT

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    In various scenarios, achieving security between IoT devices is challenging since the devices may have different dedicated communication standards, resource constraints as well as various applications. In this article, we first provide requirements and existing solutions for IoT security. We then introduce a new reconfigurable security framework based on edge computing, which utilizes a near-user edge device, i.e., security agent, to simplify key management and offload the computational costs of security algorithms at IoT devices. This framework is designed to overcome the challenges including high computation costs, low flexibility in key management, and low compatibility in deploying new security algorithms in IoT, especially when adopting advanced cryptographic primitives. We also provide the design principles of the reconfigurable security framework, the exemplary security protocols for anonymous authentication and secure data access control, and the performance analysis in terms of feasibility and usability. The reconfigurable security framework paves a new way to strength IoT security by edge computing.Comment: under submission to possible journal publication

    Survey of Data Confidentiality and Privacy in the Cloud Computing Environment

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    The objective of this research is to develop a scheme for improving cloud data confidentiality. A considerable number of people are sharing data through third-party applications in the cloud computing environment. According to reviewed literature, it has been realized that data security and privacy were the key challenges to the wider adoption of cloud services with insider threats being the most prevalent. Similarly, our online survey indicated that 53.3% of the respondents citing insider breaches as the main threat to their organizational data. The survey also confirmed that data security and privacy is one of the greatest barriers to the adoption of cloud services in their organization. Noting the flaws of Attribute-Based Encryption (ABE) and Identity-based encryption (IBE), and with the growth of computing power, applications are constantly being developed which makes them vulnerable to attacks. Since data confidentiality is essential in the provision of information security in the cloud, this paper suggested the development and the deployment of a hybrid attribute-based re-encryption scheme, which is a scheme that bridges the ABE and IBE, to secure data in the cloud computing environment. Keywords: Encryption, Cloud Computing, Data, confidentiality, Privacy DOI: 10.7176/CEIS/11-5-03 Publication date:September 30th 2020

    A Comprehensive Cloud Security Model with Enhanced Key Management, Access Control and Data Anonymization Features

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    A disgusting problem in public cloud is to securely share data based on fine grained access control policies and unauthorized key management. Existing approaches to encrypt policies and data with different keys based on public key cryptosystem are Attribute Based Encryption and proxy re-encryption. The weakness behind approaches is: It cannot efficiently handle policy changes and also problem in user revocation and attribute identification.  Even though it is so popular, when employed in cloud it generate high computational and storage cost. More importantly, image encryption is some out complex in case of public key cryptosystem. On the publication of sensitive dataset, it does not preserve privacy of an individual. A direct application of a symmetric key cryptosystem, where users are served based on the policies they satisfy and unique keys are generated by Data Owner (DO). Based on this idea, we formalize a new key management scheme, called Symmetric Chaos Based key Management (SCBKM), and then give a secure construction of a SCBKM scheme called AS-Chaos. The idea is to give some secrets to Key Manager (KM) based on the identity attributes they have and later allow them to derive actual symmetric keys based on their secrets. Using our SCBKM construct, we propose an efficient approach for fine-grained encryption-based access control for data stored in untrusted cloud storage

    A Survey of Access Control Models in Wireless Sensor Networks

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    Copyright 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/)Wireless sensor networks (WSNs) have attracted considerable interest in the research community, because of their wide range of applications. However, due to the distributed nature of WSNs and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. Resource constraints in sensor nodes mean that security mechanisms with a large overhead of computation and communication are impractical to use in WSNs; security in sensor networks is, therefore, a challenge. Access control is a critical security service that offers the appropriate access privileges to legitimate users and prevents illegitimate users from unauthorized access. However, access control has not received much attention in the context of WSNs. This paper provides an overview of security threats and attacks, outlines the security requirements and presents a state-of-the-art survey on access control models, including a comparison and evaluation based on their characteristics in WSNs. Potential challenging issues for access control schemes in WSNs are also discussed.Peer reviewe

    The Evolution of Access Control in Cloud Security: A Survey of Key Literature

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    Cloud Computing is a distributed model that enables users to access, meet and exchange resources and resource requirements hosted by various service providers. Authentication of requesting users and the permitting of their rights of access are extremely necessary in order to avoid unauthorised or unlawful access to cloud services. In the cloud scenario, access control of distributed resources is most critical. Access control is a basic aspect of the security of information that is directly linked to the fundamental features of confidentiality, honesty and availability. This article provides a literature analysis of the Cloud Computing Access Control Mechanism

    Intranet Cloud Security

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