5,992 research outputs found

    Multilevel Runtime Verification for Safety and Security Critical Cyber Physical Systems from a Model Based Engineering Perspective

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    Advanced embedded system technology is one of the key driving forces behind the rapid growth of Cyber-Physical System (CPS) applications. CPS consists of multiple coordinating and cooperating components, which are often software-intensive and interact with each other to achieve unprecedented tasks. Such highly integrated CPSs have complex interaction failures, attack surfaces, and attack vectors that we have to protect and secure against. This dissertation advances the state-of-the-art by developing a multilevel runtime monitoring approach for safety and security critical CPSs where there are monitors at each level of processing and integration. Given that computation and data processing vulnerabilities may exist at multiple levels in an embedded CPS, it follows that solutions present at the levels where the faults or vulnerabilities originate are beneficial in timely detection of anomalies. Further, increasing functional and architectural complexity of critical CPSs have significant safety and security operational implications. These challenges are leading to a need for new methods where there is a continuum between design time assurance and runtime or operational assurance. Towards this end, this dissertation explores Model Based Engineering methods by which design assurance can be carried forward to the runtime domain, creating a shared responsibility for reducing the overall risk associated with the system at operation. Therefore, a synergistic combination of Verification & Validation at design time and runtime monitoring at multiple levels is beneficial in assuring safety and security of critical CPS. Furthermore, we realize our multilevel runtime monitor framework on hardware using a stream-based runtime verification language

    NASA space station automation: AI-based technology review

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    Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures

    Trusted Energy-Efficient Cloud-based Services Brokerage Platform

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    The use of cloud computing can increase service efficiency and service level agreements for cloud users, by linking them to an appropriate cloud service provider, using the cloud services brokerage paradigm. Cloud service brokerage represents a promising new layer which is to be added to the cloud computing network, which manages the use, performance and delivery of cloud services, and negotiates relationships between cloud service providers and cloud service consumers. The work presented in this paper studies the research related to cloud service brokerage systems along with the weaknesses and vulnerabilities associated with each of these systems, with a particular focus on the multicloud-based services environment. In addition, the paper will conclude with a proposed multi-cloud framework that overcomes the weaknesses of other listed cloud brokers. The new framework aims to find the appropriate data centre in terms of energy efficiency, QoS and SLA. Moreover, it presents a security model aims to protect the proposed multicloud framework and highlights the key features that must be available in multi-cloud-based brokerage systems

    An annotated bibliography of multidisciplinary information security resources, for the purpose of maintaining privacy and confidentiality in New Zealand government records management

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    Research Problem Maintaining privacy and confidentiality of data in an age of e-government and electronic recordkeeping is one of the key challenges for records management staff today. In New Zealand this issue has attracted negative attention through several recent public sector privacy and security breaches, raising questions about systemic issues, accountability, and a disconnect between strategy and implementation. How government responds will depend in large measure on the advice received regarding solutions to information security. A bibliographic gap on the relationship between records management and information security has been identified in the academic literature. Methodology Using targeted search strategies this annotated bibliography draws together articles from a range of journals with the aim of developing a consolidated resource for practitioners to become acquainted with the multifaceted and multidisciplinary nature of information security. The outcome is a resource directly relevant to the New Zealand context, which identifies key perspectives, relationships, technical issues, and shortcomings in research. Results Key findings relate to publishing trends, divided disciplines, and shortcomings in research pertaining to records management relationships with IT groups and engagement in e-government. Implications Includes the development of more comprehensive e-government information and security strategies, the re-examination and utilisation of existing relationships, and the strengthening of records management's position as a contributor to research and leadership in the array of possible responses to information security

    Comparative Analysis of Data Security and Cloud Storage Models Using NSL KDD Dataset

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    Cloud computing is becoming increasingly important in many enterprises, and researchers are focusing on safeguarding cloud computing. Due to the extensive variety of service options it offers, A significant amount of interest from the scientific community has been focused on cloud computing. The two biggest problems with cloud computing are security and privacy. The key challenge is maintaining privacy, which expands rapidly with the number of users. A perfect security system must efficiently ensure each security aspect. This study provides a literature review illustrating the security in the cloud with respect to privacy, integrity, confidentiality and availability, and it also provides a comparison table illustrating the differences between various security and storage models with respect to the approaches and components of the models offered. This study also compares Naïve Bayes and SVM on the accuracy, recall and precision metrics using the NSL KDD dataset

    Security Standards and Best Practice Considerations for Quantum Key Distribution (QKD)

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    Quantum Key Distribution (QKD) systems combine cryptographic primitives with quantum information theory to produce a theoretic unconditionally secure cryptographic key. However, real-world implementations of QKD systems are far from ideal and differ significantly from the theoretic model. Because of this, real-world QKD systems require additional practical considerations when implemented to achieve secure operations. In this thesis, a content analysis of the published literature is conducted to determine if established security and cryptographic standards and best practices are addressed in real world, practical QKD implementations. The research reveals that most published, real world QKD implementations do not take advantage of established security and cryptographic standards and best practices. Based upon an analysis of existing security and cryptographic standards and best practices, systems architecture methodology is used to make recommendations as to how these standards can and should be applied to establish a practical, secure, QKD system framework
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