Towards Fundamental Science of Cyber Security

Kott, Alexander

doi:10.1007/978-1-4614-7597-2_1

Cited by 25 publications

(25 citation statements)

References 20 publications

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“…Although many solutions have been proposed, there is still no definite answer on how to effectively and precisely predict cyber attacks. Attack prediction is not yet used in practice and sometimes seen as rather misleading [121], but it is still an open and an imperative, desirable research problem [1], [3], [120].…”

Section: Discussionmentioning

confidence: 99%

“…The modification consists of an extension of the underlining Grey-Verhulst model. While the original model from which the differential equation is derived assumes that x 0 (k) + az 1…”

Section: B Grey Modelsmentioning

confidence: 99%

“…Cyber security is a broad field of research, and the detection of malicious activities on the network is among the oldest and most common problems [1]. However, intrusion detection is mostly reactive and responses to specific patterns or observed anomalies.…”

Section: Introductionmentioning

confidence: 99%

“…Research efforts and progress in predictions and forecasting in cyber security are not as prominent as attack detection. However, it is gaining more attention, and a breakthrough in this field would benefit the whole discipline of cyber security [1].…”

Section: Introductionmentioning

confidence: 99%

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Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

Husák

Komárková

Bou‐Harb

et al. 2019

IEEE Commun. Surv. Tutorials

226

110

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This paper provides a survey of prediction, and forecasting methods used in cyber security. Four main tasks are discussed first, attack projection and intention recognition, in which there is a need to predict the next move or the intentions of the attacker, intrusion prediction, in which there is a need to predict upcoming cyber attacks, and network security situation forecasting, in which we project cybersecurity situation in the whole network. Methods and approaches for addressing these tasks often share the theoretical background and are often complementary. In this survey, both methods based on discrete models, such as attack graphs, Bayesian networks, and Markov models, and continuous models, such as time series and grey models, are surveyed, compared, and contrasted. We further discuss machine learning and data mining approaches, that have gained a lot of attention recently and appears promising for such a constantly changing environment, which is cyber security. The survey also focuses on the practical usability of the methods and problems related to their evaluation.

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Section: Discussionmentioning

confidence: 99%

“…The modification consists of an extension of the underlining Grey-Verhulst model. While the original model from which the differential equation is derived assumes that x 0 (k) + az 1…”

Section: B Grey Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

Husák

Komárková

Bou‐Harb

et al. 2019

IEEE Commun. Surv. Tutorials

226

110

View full text Add to dashboard Cite

show abstract

“…Quantum computing and networking are already fueling lively debate, with one side making claims for the technologies' inherent security while the other side highlights the opportunities it presents for hacking. Biologically inspired computation and communication paradigms-for example, the Gaian dynamic distributed federated database (Toth et al 2013) and related cybersecurity applications, such as artificial immune systems-will attract growing interest, especially as they offer promises for autonomous adaptation to previously unknown threats and even self-healing (Kott 2014).…”

Section: New Computing Paradigmsmentioning

confidence: 99%

In Conclusion: The Future Internet of Things and Security of Its Control Systems

Blowers

Iribarne²,

Colbert

et al. 2016

Advances in Information Security

Self Cite

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Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity

2019

Proactive and Dynamic Network Defense

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Cybersecurity Dynamics is new concept that aims to achieve the modeling, analysis, quantification, and management of cybersecurity from a holistic perspective, rather than from a building-blocks perspective. It is centered at modeling and analyzing the attack-defense interactions in cyberspace, which cause a "natural" phenomenon-the evolution of the global cybersecurity state. In this Chapter, we systematically introduce and review the Cybersecurity Dynamics foundation for the Science of Cybersecurity. We review the core concepts, technical approaches, research axes, and results that have been obtained in this endeavor. We outline a research roadmap towards the ultimate research goal, including a systematic set of technical barriers.

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Towards Fundamental Science of Cyber Security

Cited by 25 publications

References 20 publications

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

Survey of Attack Projection, Prediction, and Forecasting in Cyber Security

In Conclusion: The Future Internet of Things and Security of Its Control Systems

Cybersecurity Dynamics: A Foundation for the Science of Cybersecurity

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