Software diversity for improved network security: optimal distribution of software-based shared vulnerabilities

Name: Software diversity for improved network security: optimal distribution of software-based shared vulnerabilities
Author: Temizkan, Orçun, Park, S., Saydam, C.

İsim	Software diversity for improved network security: optimal distribution of software-based shared vulnerabilities
Yazar	Temizkan, Orçun, Park, S., Saydam, C.
Basım Tarihi:	2017-12
Basım Yeri	- Informs
Konu	Software diversity, Shared vulnerabilities, Epidemic spreading, Epidemic threshold, Network security, Combinatorial optimization, Simulation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1047-7047
Kayıt Numarası	f7892dea-d231-4c5b-b318-3ec27fc4ce5d
Lokasyon	Management Information Systems
Tarih	2017-12
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Firms, and other agencies, tend to adopt widely used software to gain economic benefits of scale, which can lead to a software monoculture. This can, in turn, involve the risk of correlated computer systems failure as all systems on the network are exposed to the same software-based vulnerabilities. Software diversity has been introduced as a strategy for disrupting such a monoculture and ultimately decreasing the risk of correlated failure. Nevertheless, common vulnerabilities can be shared by different software products. We thus expand software diversity research here and consider shared vulnerabilities between different software alternatives. We develop a combinatorial optimization model of software diversity on a network in an effort to identify the optimal software distribution that best improves network security. We also develop a simulation model of virus propagation based on the susceptible-infected-susceptible model. This model allows calculation of the epidemic threshold, a measure of network resilience to virus propagation. We then test the effectiveness of the proposed software diversity strategies against the spreading of viruses through a series of experiments.
DOI	10.1287/isre.2017.0722
Cilt	28

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Software diversity for improved network security: optimal distribution of software-based shared vulnerabilities

Yazar Temizkan, Orçun, Park, S., Saydam, C.

Basım Tarihi 2017-12

Basım Yeri - Informs

Konu Software diversity, Shared vulnerabilities, Epidemic spreading, Epidemic threshold, Network security, Combinatorial optimization, Simulation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1047-7047

Kayıt Numarası f7892dea-d231-4c5b-b318-3ec27fc4ce5d

Lokasyon Management Information Systems

Tarih 2017-12

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Firms, and other agencies, tend to adopt widely used software to gain economic benefits of scale, which can lead to a software monoculture. This can, in turn, involve the risk of correlated computer systems failure as all systems on the network are exposed to the same software-based vulnerabilities. Software diversity has been introduced as a strategy for disrupting such a monoculture and ultimately decreasing the risk of correlated failure. Nevertheless, common vulnerabilities can be shared by different software products. We thus expand software diversity research here and consider shared vulnerabilities between different software alternatives. We develop a combinatorial optimization model of software diversity on a network in an effort to identify the optimal software distribution that best improves network security. We also develop a simulation model of virus propagation based on the susceptible-infected-susceptible model. This model allows calculation of the epidemic threshold, a measure of network resilience to virus propagation. We then test the effectiveness of the proposed software diversity strategies against the spreading of viruses through a series of experiments.

DOI 10.1287/isre.2017.0722

Cilt 28