3,333 research outputs found

    Software product description

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    An overview of the MultiNet system is presented. Services, supported configurations, remote printer services, netstat, netcontrol, DECnet interoperability services, and programming libraries are briefly described

    Security threat probability computation using Markov Chain and Common Vulnerability Scoring System

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    © 2018 IEEE. Security metrics have become essential for assessing the security risks and making effective decisions concerning system security. Many security metrics rely on mathematical models, but are mainly based on empirical data, qualitative method, or compliance checking and this renders the outcome far from accurate. This paper proposes a novel approach to compute the probability distribution of cloud security threats based on Markov chain and Common Vulnerability Scoring System (CVSS). The paper gives an application on cloud systems to demonstrate the use of the proposed approach

    Online Learning and Experimentation via Interactive Learning Resources

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    Recent trends in online learning like Massive Open Online Courses (MOOCs) and Open Educational Resources (OERs) are changing the landscape in the education sector by allowing learners to self-regulate their learning and providing them with an abundant amount of free learning materials. This paper presents FORGE, a new European initiative for online learning and experimentation via interactive learning resources. FORGE provides learners and educators with access to world- class facilities and high quality learning materials, thus enabling them to carry out experiments on e.g. new Internet protocols. In turn, this supports constructivist and self-regulated learning approaches, through the use of interactive learning resources, such as eBooks

    eCMT-SCTP: Improving Performance of Multipath SCTP with Erasure Coding Over Lossy Links

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    Performance of transport protocols on lossy links is a well-researched topic, however there are only a few proposals making use of the opportunities of erasure coding within the multipath transport protocol context. In this paper, we investigate performance improvements of multipath CMT-SCTP with the novel integration of the on-the-fly erasure code within congestion control and reliability mechanisms. Our contributions include: integration of transport protocol and erasure codes with regards to congestion control; proposal for a variable retransmission delay parameter (aRTX) adjustment; performance evaluation of CMT-SCTP with erasure coding with simulations. We have implemented the explicit congestion notification (ECN) and erasure coding schemes in NS-2, evaluated and demonstrated results of improvement both for application goodput and decline of spurious retransmission. Our results show that we can achieve from 10% to 80% improvements in goodput under lossy network conditions without a significant penalty and minimal overhead due to the encoding-decoding process

    Container network functions: bringing NFV to the network edge

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    In order to cope with the increasing network utilization driven by new mobile clients, and to satisfy demand for new network services and performance guarantees, telecommunication service providers are exploiting virtualization over their network by implementing network services in virtual machines, decoupled from legacy hardware accelerated appliances. This effort, known as NFV, reduces OPEX and provides new business opportunities. At the same time, next generation mobile, enterprise, and IoT networks are introducing the concept of computing capabilities being pushed at the network edge, in close proximity of the users. However, the heavy footprint of today's NFV platforms prevents them from operating at the network edge. In this article, we identify the opportunities of virtualization at the network edge and present Glasgow Network Functions (GNF), a container-based NFV platform that runs and orchestrates lightweight container VNFs, saving core network utilization and providing lower latency. Finally, we demonstrate three useful examples of the platform: IoT DDoS remediation, on-demand troubleshooting for telco networks, and supporting roaming of network functions

    AAA architectures applied in multi-domain IMS (IP multimedia subsystem)

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    There is a group of communication services that use\ud resources from multiple domains in order to deliver their service.\ud Authorization of the end-user is important for such services,\ud because several domains are involved. There are no current\ud solutions for delivering authentication, authorization and\ud accounting (AAA) to multi-domain services. In our study we\ud present two architectures for the delivery of AAA to such\ud services. The architectures are analyzed on their qualitative\ud aspects. A result of this analysis is that direct interconnection of\ud AAA servers is an effective architectural solution. In current\ud multi-domain IP Multimedia Subsystem (IMS) architectures,\ud direct interconnection of AAA servers, such as the Home\ud Subscriber Servers (HSS), is not yet possible. In this paper we\ud argue and recommend to extend the IMS specification by adding\ud a new interface to HSS in order to support the direct\ud interconnection of HSS/AAA servers located in different IMS\ud administrative domains

    A Threat Computation Model using a Markov Chain and Common Vulnerability Scoring System and its Application to Cloud Security

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    Copyright © 2019 Securing cyber infrastructures has become critical because they are increasingly exposed to attackers while accommodating a huge number of IoT devices and supporting numerous sophisticated emerging applications. Security metrics are essential for assessing the security risks and making effective decisions concerning system security. Many security metrics rely on mathematical models, but are mainly based on empirical data, qualitative methods, or compliance checking, and this renders the outcome far from satisfactory. Computing the probability of an attack, or more precisely a threat that materialises into an attack, forms an essential basis for a quantitative security metric. This paper proposes a novel approach to compute the probability distribution of cloud security threats based on a Markov chain and Common Vulnerability Scoring System. Moreover, the paper introduces the method to estimate the probability of security attacks. The use of the new security threat model and its computation is demonstrated through their application to estimating the probabilities of cloud threats and types of attacks
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