Information protection in content-centric networks

Information-centric networks have distinct advantages with regard to securing sensitive content as a result of their new approaches to managing data in potential future internet architectures. These kinds of systems, because of their data-centric perspective, provide the opportunity to embed policy-centric content management components that can address looming problems in information distribution that both companies and federal agencies are beginning to face with respect to sensitive content. This information-centricity facilitates the application of security techniques that are very difficult and in some cases impossible to apply in traditional packetized networks. This work addresses the current state of the art in both these kinds of cross-domain systems and information-centric networking in general. It then covers other related work, outlining why information-centric networks are more powerful than traditional packetized networks with regard to usage management. Then, it introduces a taxonomy of types of policy-centric usage managed information network systems and an associated methodology for evaluating the individual taxonomic elements. It finally delves into experimental evaluation of the various defined architectural options and presents results of comparing experimental evaluation with anticipated outcomes

DESIGN AND EXPLORATION OF NEW MODELS FOR SECURITY AND PRIVACY-SENSITIVE COLLABORATION SYSTEMS

Collaboration has been an area of interest in many domains including education, research, healthcare supply chain, Internet of things, and music etc. It enhances problem solving through expertise sharing, ideas sharing, learning and resource sharing, and improved decision making. To address the limitations in the existing literature, this dissertation presents a design science artifact and a conceptual model for collaborative environment. The first artifact is a blockchain based collaborative information exchange system that utilizes blockchain technology and semi-automated ontology mappings to enable secure and interoperable health information exchange among different health care institutions. The conceptual model proposed in this dissertation explores the factors that influences professionals continued use of video- conferencing applications. The conceptual model investigates the role the perceived risks and benefits play in influencing professionals’ attitude towards VC apps and consequently its active and automatic use

Integrated, reliable and cloud-based personal health record: a scoping review.

Personal Health Records (PHR) emerge as an alternative to integrate patient’s health information to give a global view of patients' status. However, integration is not a trivial feature when dealing with a variety electronic health systems from healthcare centers. Access to PHR sensitive information must comply with privacy policies defined by the patient. Architecture PHR design should be in accordance to these, and take advantage of nowadays technology. Cloud computing is a current technology that provides scalability, ubiquity, and elasticity features. This paper presents a scoping review related to PHR systems that achieve three characteristics: integrated, reliable and cloud-based. We found 101 articles that addressed thosecharacteristics. We identified four main research topics: proposal/developed systems, PHR recommendations for development, system integration and standards, and security and privacy. Integration is tackled with HL7 CDA standard. Information reliability is based in ABE security-privacy mechanism. Cloud-based technology access is achieved via SOA.CONACYT - Consejo Nacional de Ciencia y TecnologíaPROCIENCI

A comprehensive meta-analysis of cryptographic security mechanisms for cloud computing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The concept of cloud computing offers measurable computational or information resources as a service over the Internet. The major motivation behind the cloud setup is economic benefits, because it assures the reduction in expenditure for operational and infrastructural purposes. To transform it into a reality there are some impediments and hurdles which are required to be tackled, most profound of which are security, privacy and reliability issues. As the user data is revealed to the cloud, it departs the protection-sphere of the data owner. However, this brings partly new security and privacy concerns. This work focuses on these issues related to various cloud services and deployment models by spotlighting their major challenges. While the classical cryptography is an ancient discipline, modern cryptography, which has been mostly developed in the last few decades, is the subject of study which needs to be implemented so as to ensure strong security and privacy mechanisms in today’s real-world scenarios. The technological solutions, short and long term research goals of the cloud security will be described and addressed using various classical cryptographic mechanisms as well as modern ones. This work explores the new directions in cloud computing security, while highlighting the correct selection of these fundamental technologies from cryptographic point of view

An Application for Decentralized Access Control Mechanism on Cloud Data using Anonymous Authentication

In the last few years, Cloud computing has gained a lot of popularity and technology analysts believe it will be the future, but only if the security problems are solved from time-to-time. For those who are unfamiliar with cloud computing, it is a practice wherein users can access the data from the servers that are located in remote places. Users can do so through the Internet to manage, process and store the relevant data, instead of depending on the personal computer or a local server. Many firms and organizations are using cloud computing, which eventually is faster, cheaper and easy to maintain. Even the regular Internet users are also relying on cloud computing services to access their files whenever and wherever they wish. There are also numerous challenges associated with cloud computing like abuse of cloud services, data security and cyber-attacks. When clients outsource sensitive data through cloud servers, access control is one of the fundamental requirements among all security requirements which ensures that no unauthorized access to secured data will be avoided. Hence, cloud computing has to build a feature that provides privacy, access control challenges and security to the user data. A suitable and reliable encryption technique with enhanced key management should be developed and applied to the user data before loading into the cloud with the goal to achieve secured storage. It also has to support file access control and all other files related functions in a policy-based manner for any file stored in a cloud environment. This research paper proposes a decentralized access control mechanism for the data storage security in clouds which also provides anonymous authentication. This mechanism allows the decryption of the stored information only by the valid users, which is an additional feature of access control. Access control mechanism are decentralized which makes it robust when compared to centralized access control schemes meant for clouds

Building the Infrastructure for Cloud Security

Computer scienc

Policy enforcement in cloud computing

Cloud Computing is an emerging technology, providing attractive way of hosting and delivering services over the Internet. Many organizations and individuals are utilizing Cloud services to share information and collaborate with partners. However, Cloud provides abstraction over the underlying physical infrastructure to the customers, that raises information security concerns, while storing data in a virtualized environment without having physical access to it. Additionally, certain standards have been issued to provide interoperability between users and various distributed systems(including Cloud infrastructures), in a standardized way. However, implementation and interoperability issues still exist and introduce new challenges. This thesis explores the feasibility of securing data in a cloud context, using existing standards and specifications, while retaining the benefits of the Cloud. The thesis provides a view on increasing security concerns of moving to the cloud and sharing data over it. First, we define security and privacy requirements for the data stored in the Cloud. Based on these requirements, we propose the requirements for an access control system in the Cloud. Furthermore, we evaluate the existing work in the area of currently available access control systems and mechanisms for secure data sharing over the Cloud, mostly focusing on policy enforcement and access control characteristics. Moreover, we determine existing mechanisms and standards to implement secure data sharing and collaborative systems over the Cloud. We propose an architecture supporting secure data sharing over the untrusted Cloud environment, based on our findings. The architecture ensures policy based access control inside and outside Cloud, while allowing the benefits of Cloud Computing to be utilized. We discuss the components involved in the architecture and their design considerations. To validate the proposed architecture, we construct the proof of concept prototype. We present a novel approach for implementing policy based access control, by achieving interoperability between existing standards and addressing certain issues, while constructing the system prototype. Furthermore, we deploy our solution in the Cloud and perform the performance tests to evaluate the performance of the system. Finally, we perform a case study by utilizing our system in a real-life scenario. To do this we slightly tailor our solution to meet specific needs. Overall, this thesis provides a solid foundation for the policy enforcement and access control mechanisms in the Cloud-based systems and motivates further work within this field. Cloud Computing is an emerging technology, providing attractive way of hosting and delivering services over the Internet. Many organizations and individuals are utilizing Cloud services to share information and collaborate with partners. However, Cloud provides abstraction over the underlying physical infrastructure to the customers, that raises information security concerns, while storing data in a virtualized environment without having physical access to it. Additionally, certain standards have been issued to provide interoperability between users and various distributed systems(including Cloud infrastructures), in a standardized way. However, implementation and interoperability issues still exist and introduce new challenges. This thesis explores the feasibility of securing data in a cloud context, using existing standards and specifications, while retaining the benefits of the Cloud. The thesis provides a view on increasing security concerns of moving to the cloud and sharing data over it. First, we define security and privacy requirements for the data stored in the Cloud. Based on these requirements, we propose the requirements for an access control system in the Cloud. Furthermore, we evaluate the existing work in the area of currently available access control systems and mechanisms for secure data sharing over the Cloud, mostly focusing on policy enforcement and access control characteristics. Moreover, we determine existing mechanisms and standards to implement secure data sharing and collaborative systems over the Cloud. We propose an architecture supporting secure data sharing over the untrusted Cloud environment, based on our findings. The architecture ensures policy based access control inside and outside Cloud, while allowing the benefits of Cloud Computing to be utilized. We discuss the components involved in the architecture and their design considerations. To validate the proposed architecture, we construct the proof of concept prototype. We present a novel approach for implementing policy based access control, by achieving interoperability between existing standards and addressing certain issues, while constructing the system prototype. Furthermore, we deploy our solution in the Cloud and perform the performance tests to evaluate the performance of the system. Finally, we perform a case study by utilizing our system in a real-life scenario. To do this we slightly tailor our solution to meet specific needs. Overall, this thesis provides a solid foundation for the policy enforcement and access control mechanisms in the Cloud-based systems and motivates further work within this field

Anonymity Protection and Access Control in Mobile Network Environment

abstract: Wireless communication technologies have been playing an important role in modern society. Due to its inherent mobility property, wireless networks are more vulnerable to passive attacks than traditional wired networks. Anonymity, as an important issue in mobile network environment, serves as the first topic that leads to all the research work presented in this manuscript. Specifically, anonymity issue in Mobile Ad hoc Networks (MANETs) is discussed with details as the first section of research. To thoroughly study on this topic, the presented work approaches it from an attacker's perspective. Under a perfect scenario, all the traffic in a targeted MANET exhibits the communication relations to a passive attacker. However, localization errors pose a significant influence on the accuracy of the derived communication patterns. To handle such issue, a new scheme is proposed to generate super nodes, which represent the activities of user groups in the target MANET. This scheme also helps reduce the scale of monitoring work by grouping users based on their behaviors. The first part of work on anonymity in MANET leads to the thought on its major cause. The link-based communication pattern is a key contributor to the success of the traffic analysis attack. A natural way to circumvent such issue is to use link-less approaches. Information Centric Networking (ICN) is a typical instance of such kind. Its communication pattern is able to overcome the anonymity issue with MANET. However, it also comes with its own shortcomings. One of them is access control enforcement. To tackle this issue, a new naming scheme for contents transmitted in ICN networks is presented. This scheme is based on a new Attribute-Based Encryption (ABE) algorithm. It enforces access control in ICN with minimum requirements on additional network components. Following the research work on ABE, an important function, delegation, exhibits a potential security issue. In traditional ABE schemes, Ciphertext-Policy ABE (CP-ABE), a user is able to generate a subset of authentic attribute key components for other users using delegation function. This capability is not monitored or controlled by the trusted third party (TTP) in the cryptosystem. A direct threat caused from this issue is that any user may intentionally or unintentionally lower the standards for attribute assignments. Unauthorized users/attackers may be able to obtain their desired attributes through a delegation party instead of directly from the TTP. As the third part of work presented in this manuscript, a three-level delegation restriction architecture is proposed. Furthermore, a delegation restriction scheme following this architecture is also presented. This scheme allows the TTP to have full control on the delegation function of all its direct users.Dissertation/ThesisDoctoral Dissertation Computer Science 201

Kestrel: Job Distribution and Scheduling using XMPP

A new distributed computing framework, named Kestrel, for Many-Task Computing (MTC) applications and implementing Virtual Organization Clusters (VOCs) is proposed. Kestrel is a lightweight, highly available system based on the Extensible Messaging and Presence Protocol (XMPP), and has been developed to explore XMPP-based techniques for improving MTC and VOC tolerance to faults due to scaling and intermittently connected heterogeneous resources. Kestrel provides a VOC with a special purpose scheduler for VOCs which can provide better scalability under certain workload assumptions, namely CPU bound processes and bag-of-task applications. Experimental results have shown that Kestrel is capable of operating a VOC of at least 1600 worker nodes with all nodes visible to the scheduler at once. When using multiple sites located in both North America and Europe, the latencies introduced to the round trip time of messages were on the order of 0.3 seconds. To offset the overhead of XMPP processing, a task execution time of 2 seconds is sufficient for a pool of 900 workers on a single site to operate at near 100% use. Requiring tasks that take on the order of 30 seconds to a minute to execute would compensate for increased latency during job dispatch across multiple sites. Kestrel\u27s architecture is rooted in pilot job frameworks heavily used in Grid computing, it is also modeled after the use of IRC by botnets to communicate between compromised machines and command and control servers. For Kestrel, the extensibility of XMPP has allowed development of protocols for identifying manager nodes, discovering the capabilities of worker agents, and for distributing tasks. The presence notifications provided by XMPP allow Kestrel to monitor the global state of the pool and to perform task dispatching based on worker availability. In this work it is argued that XMPP is by design a very good fit for cloud computing frameworks. It offers scalability, federation between servers and some autonomicity of the agents. During the summer of 2010, Kestrel was used and modified based on feedback from the STAR group at Brookhaven National Laboratories. STAR provided a virtual machine image with applications for simulating proton collisions using PYTHIA and GEANT3. A Kestrel-based virtual organization cluster, created on top of Clemson University\u27s Palmetto cluster, was able to provide over 400,000 CPU hours of computation over the course of a month using an average of 800 virtual machine instances every day, generating nearly seven terabytes of data and the largest PYTHIA production run that STAR ever achieved. Several architectural issues were encountered during the course of the experiment and were resolved by moving from the original JSON protocols used by Kestrel to native XMPP equivalents that offered better message delivery confirmation and integration with existing tools