Defending Sensor Worm Attack Using Software Diversity Approach

Yang, Liwei; Zhang, Weiyi; Bai, Shi; Wang, Chonggang

doi:10.1109/icc.2011.5962857

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…In [10,11], several distributed algorithms were introduced for the assignment of diverse software packages in a network shown as a graph with the aim of controlling malicious attacks. Each color in the graph is equivalent to a diverse software package.…”

Section: A Software Diversitymentioning

confidence: 99%

A malware propagation model considering software diversity and topology dynamics

Hosseini

Azgomi

Rahmani

2014

2014 11th International ISC Conference on Information Security and Cryptology

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In this paper, we propose a susceptible-exposedinfected-recovered-susceptible (SEIRS) epidemic model in scalefree networks (SFNs). The aim has been to model the impact of software diversity and a defense mechanism to reduce malware propagation in SFNs. The dynamics of network topology was considered during the propagation process. During the malware propagation, the network topology varies considering leaving and joining of nodes. Reproduction ratio as a measure of epidemics plays an important role in dynamic behavior of discrete-time SEIRS models. The number of diverse software packages installed on nodes is calculated and used as a parameter to prevent malware propagation. The accuracy of the model is investigated by comparing the numerical results of the analytical solution and simulation outputs.

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Section: A Software Diversitymentioning

confidence: 99%

A malware propagation model considering software diversity and topology dynamics

Hosseini

Azgomi

Rahmani

2014

2014 11th International ISC Conference on Information Security and Cryptology

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“…Gui et al [1] explored how the software diversity technique defers worm infection through active sensor nodes when they are selected by random node scheduling. Liu et al [2] proposed a role-based graph coloring scheme for software diversity in sensor networks. Since both [1,2] leverage the software diversity technique for worm propagation prevention, they have the same limitations as in [3].…”

Section: Related Workmentioning

confidence: 99%

“…Liu et al [2] proposed a role-based graph coloring scheme for software diversity in sensor networks. Since both [1,2] leverage the software diversity technique for worm propagation prevention, they have the same limitations as in [3]. Sun et al [12] proposed an immunization-based worm defense in which the network operator employs a set of immune nodes to prevent or slow down worm propagation.…”

Section: Related Workmentioning

confidence: 99%

“…To defend against the sensor worm attacks, several schemes are proposed to prevent worm propagation in sensor networks [1][2][3]12]. Yang et al [3] first applied a software diversity technique to prevent worm propagation in sensor networks.…”

Section: Related Workmentioning

confidence: 99%

“…To meet this goal, several schemes have been developed for worm defense in the sensor network [1][2][3]. The key idea of these schemes prevents worm propagation by enforcing two adjacent nodes to have distinct software versions, leading to worm dissemination failure between two adjacent nodes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed Software-Attestation Defense against Sensor Worm Propagation

2015

Journal of Sensors

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Wireless sensor networks are vulnerable to sensor worm attacks in which the attacker compromises a few nodes and makes these compromised nodes initiate worm spread over the network, targeting the worm infection of the whole nodes in the network. Several defense mechanisms have been proposed to prevent worm propagation in wireless sensor networks. Although these proposed schemes use software diversity technique for worm propagation prevention under the belief that different software versions do not have common vulnerability, they have fundamental drawback in which it is difficult to realize the aforementioned belief in sensor motes. To resolve this problem, we propose on-demand software-attestation based scheme to defend against worm propagation in sensor network. The main idea of our proposed scheme is to perform software attestations against sensor nodes in on-demand manner and detect the infected nodes by worm, resulting in worm propagation block in the network. Through analysis, we show that our proposed scheme defends against worm propagation in efficient and robust manner. Through simulation, we demonstrate that our proposed scheme stops worm propagation at the reasonable overhead while preventing a majority of sensor nodes from being infected by worm.

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Dynamical analysis of a malware propagation model considering the impacts of mobile devices and software diversification

Hosseini

Azgomi

2019

Physica A: Statistical Mechanics and its Applications

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Defending Sensor Worm Attack Using Software Diversity Approach

Cited by 6 publications

References 13 publications

A malware propagation model considering software diversity and topology dynamics

A malware propagation model considering software diversity and topology dynamics

Distributed Software-Attestation Defense against Sensor Worm Propagation

Dynamical analysis of a malware propagation model considering the impacts of mobile devices and software diversification

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