A Game-Theoretical Approach for Finding Optimal Strategies in a Botnet Defense Model

Bensoussan, Alain; Kantarcıoğlu, Murat; Hoe, SingRu

doi:10.1007/978-3-642-17197-0_9

Cited by 30 publications

(27 citation statements)

References 9 publications

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“…As observed in (Bensoussan, Kantarcioglu, & Hoe, 2013), the strategies for malware filtering adopted by one host in the network may have impacts on other hosts' strategies, and these interdependent security decisions could be well represented by combining game theoretic modelling with epidemic modelling. Reference (Alese, Iwasokun, & Haruna, 2013) studied deterministic security game frameworks and its adoption to enhance strategic model interactions between attacker and defender in a network environment.…”

Section: Modelling Malware Epidemics 2 Related Workmentioning

confidence: 99%

“…In (Omic & Orda, 2009), a unified framework that combines the SIS epidemic model with a non-cooperative game model was proposed, which failed to account for the strategies of the attacker. In (Bensoussan et al, 2013), a differential game model was developed based on the interactions between botnet herders and defending group, with the state evolving according to a modified SIS epidemic model. The model accounted for the strategies of the botnet herder under a fixed level of defense, and also considered a continuous game between the herder and the defender.…”

Section: Modelling Malware Epidemics 2 Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Epidemic Response Model for Malware Defense on Computer Networks

Aderinola¹,

Thompson²,

Alese³

2017

IJCSA

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The Internet came with serious security vulnerabilities. Now, malicious individuals may gain unauthorized access to protected resources and disrupt network services by using malicious software, also known as malware. Most malware rapidly self-propagate within a network like an infectious disease. The classical epidemic model has been applied to study malware epidemics in computer networks. This study adapted the Susceptible-InfectedSusceptible (SIS) epidemic model to design a defense response model for computer networks and analyse the model obtained using a game theoretic approach of the attacker and defender. The model presented divided a network of fixed population into two compartments modelled with an ordinary differential equation that incorporated the strategies of the attacker and defender. Differential games were formulated and solved based on this model to derive optimal responses to malware epidemics. The SIS epidemic model established could aid optimal decisions for malware defense on computer networks.

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Section: Modelling Malware Epidemics 2 Related Workmentioning

confidence: 99%

Section: Modelling Malware Epidemics 2 Related Workmentioning

confidence: 99%

Epidemic Response Model for Malware Defense on Computer Networks

Aderinola¹,

Thompson²,

Alese³

2017

IJCSA

View full text Add to dashboard Cite

show abstract

“…[2] that considers games in online dating platforms, or [35] that considers network formation games in which the utilities includes a term representing the metastable infection probability. Some examples of fully dynamic cybersecurity epidemic games are [21] (already mentioned) as well as [10].…”

Section: Epidemic Games For Cyber-security and Content Diffusionmentioning

confidence: 99%

Dynamic Games for Analyzing Competition in the Internet and in On-Line Social Networks

Altman

Jain

Shimkin

et al. 2017

Static &Amp; Dynamic Game Theory: Foundations &Amp; Applications

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The global Internet has enabled a massive access of internauts to content. At the same time it allowed individuals to use the Internet in order to distribute content. This introduced new types of competition between content over popularity, visibility, influence, reputation and user attention. The rules of these competitions are new with respect to those of traditional media, and they are determined by the way resources are allocated through network protocols (such as page rank in search engines and recommendation systems that are widely spread in social networks). In this paper we first present in the introduction an overview of some central competition issues both in the Internet as well as in other types of networks. We then describe the model of when to send content in order to maximize the exposure of the content. In the two last sections we finally describe research on two bio-inspired tools that have bben used to study various competition aspects.

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“…On a side note, they did not mention which type of verification protocol (deterministic or probabilistic) they used. Besides the Cloud, game theory has already been applied to study network security [7] [1], intrusion detection [5], Botnet defense [4], etc. The work presented in this paper was actually strongly inspired by [5].…”

Section: Approaches Related To Game Theorymentioning

confidence: 99%

Data Integrity and Availability Verification Game in Untrusted Cloud Storage

Djebaili

Kiennert

Leneutre

et al. 2014

Lecture Notes in Computer Science

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Abstract. The recent trends towards outsourcing data to the Cloud as well as various concerns regarding data integrity and availability created an increasing interest in enabling secure Cloud data-centers. Many schemes addressing data integrity issues and complying with various requirements came to place: high scheme efficiency, stateless verification, unbounded use of queries and retrievability of data. Yet, a critical question remains: how to use these schemes efficiently, i.e. how often should data be verified. Constantly checking is a clear waste of resources but only checking at times increases risks. This paper attempts to resolve this thorny issue by formulating the data integrity check problem as a non-cooperative game and by performing an in-depth analysis on the Nash Equilibrium and the engineering implications behind. Based on our game theoretical analysis, the course of action was to anticipate the Cloud provider's behavior; we then derive the minimum verification resource requirement, and the optimal strategy of the verifier. Finally, our game theoretical model is validated by showing correctness of the analytical results via simulation on a case study.

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A Game-Theoretical Approach for Finding Optimal Strategies in a Botnet Defense Model

Cited by 30 publications

References 9 publications

Epidemic Response Model for Malware Defense on Computer Networks

Epidemic Response Model for Malware Defense on Computer Networks

Dynamic Games for Analyzing Competition in the Internet and in On-Line Social Networks

Data Integrity and Availability Verification Game in Untrusted Cloud Storage

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