Survivability: protecting your critical systems

Ellison, Robert J.; Fisher, David; Linger, Richard C.; Lipson, Howard F.; Longstaff, Thomas A.; Mead, Nancy R.

doi:10.1109/4236.807008

Cited by 101 publications

(27 citation statements)

References 7 publications

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“…Для обеспечения высоких показателей производительности, надежности и отказоустойчивости за-щищенного доступа к сети средства защиты могут объединяться в кластеры [4][5][6][7][8][9]. Вопросы организации узлов в кластеры рассмотрены в работах [10,11].…”

Section: Introductionunclassified

Choice of option for implementation of the multilevel secure access to the external network

Сергеевич¹

2016

Naučno-teh. vestn. inf. tehnol. meh. opt.

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Section: Introductionunclassified

Choice of option for implementation of the multilevel secure access to the external network

Сергеевич¹

2016

Naučno-teh. vestn. inf. tehnol. meh. opt.

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“…Survivability -Survivability is the capability of a system to fulfil its mission in a timely manner in the presence of attacks, failures, or accidents [1]. Survivability in P2P systems raises some interesting issues, as in some cases the inherent redundancy can help attain survivability, whilst the lack of a central control can hinder it.…”

Section: External Propertiesmentioning

confidence: 99%

Dependability within peer-to-peer systems

Walkerdine

Melville²,

Sommerville³

2004

"Third Workshop on Architecting Dependable Systems (WADS)" W19S Workshop - 26th International Conference on Software Engineerin

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There is an increasing interest in using architectures as a basis for software systems. However, by their very nature, achieving dependability within a P2P system can be difficult. This paper provides an initial analysis of the main issues that need to be considered when developing a dependable P2P system. It examines the key properties that can influence the dependability of a P2P system, and discusses the relationship between system dependability and the choice of logical network architecture. Dependability and Peer-to-PeerA system's dependability can be thought of as being its trustworthiness [9]. The difficulty when attempting to measure dependability is that it is typically a context sensitive property. While one user might regard a system to be dependable for the particular activities they use it for, another user might regard it to be undependable for their activities. Traditionally dependability has also been regarded as multidimensional, in that it can be influenced by a variety of other attributes. Key attributes include availability, reliability, responsiveness, safety and security [9].Peer-to-Peer (P2P) computing has become very popular in recent years. Essentially it can be thought of as a class of application that takes advantage of the resources and services that are available at the edge of the Internet [8]. There is an increasing interest in using P2P as a basis for software systems within industry, where it can be used to support activities such as communication between workers. However for P2P technology to be adopted within such an environment it also needs to be dependable and achieving dependability within a P2P system can be difficult.In particular P2P systems possess a number of specific properties that can have an influence on the system's dependability attributes (security, reliability, etc). For example, the type of peer discovery mechanism used can influence the responsiveness of a P2P system. A broadcast discovery mechanism can result in slower performance than with using a centralised peer lookup server. Consequently, when considering dependability within P2P system design, it is also becomes necessary to consider these specific P2P properties.Dependability within P2P systems is further complicated by the numerous P2P logical network architectures (abstractions of the underlying physical network) that exist and no single architecture is likely to be suitable for all application types. For example, Napster [7] benefits most from a semi-centralised architecture (provides more efficient resource searching), whereas a decentralised architecture is more suitable for FreeNet (better anonymity support) [2]. The different types of logical network architecture can also influence the P2P properties and general system dependability. Decentralised P2P systems are likely to be better suited at handling denial of service attacks, the central authority provided by semi-centralised systems would be better suited for handling peer certification. Designers, when deciding on a suitable logica...

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“…Deutsh et al [12] defined survivability in the context of software engineering, even if some parts of the system do not work and the basic services are reachable. Ellison et al [13] discussed that survivability is the ability of the system to complete the task in time facing attacks, failures, and contingencies. Moitra et al [14] argued that survivability is the ability of the system to resist the attack and to provide certain services after being attacked.…”

Section: Background and Related Workmentioning

confidence: 99%

Survivability Analysis on a Cyber-Physical System

2017

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A cyber-physical system (CPS) is composed of interdependent physical-resource and cyber-resource networks that are tightly coupled. The malfunction of nodes in a network may trigger failures to the other network and further cause cascading failures, which would potentially lead to the complete collapse of the entire system. The number and communication of operating nodes at stable state are closely related to the initial failure nodes and the topology of the network system. To address this issue, this paper studies the survivability of CPS in the presence of initial failure nodes, proposes (m, k)-survivability, which is defined as the probability that at least k nodes are still working in CPS after m nodes are attacked, and discusses the problem of cascading failure based on reliability (CFR). Further, we propose an algorithm to calculate (m, k)-survivability and find that the minimum survivability of system with regular allocation strategy decreases with k for a fixed m, and the proportion of initial failure node groups that cause the system to completely fragment increases with m. The simulation shows the properties and the result of CFR of the system with 12 nodes.

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Survivability: protecting your critical systems

Cited by 101 publications

References 7 publications

Choice of option for implementation of the multilevel secure access to the external network

Choice of option for implementation of the multilevel secure access to the external network

Dependability within peer-to-peer systems

Survivability Analysis on a Cyber-Physical System

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