Virus propagation power of the dynamic network.
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| Title: | Virus propagation power of the dynamic network. |
|---|---|
| Authors: | Cai, Fu1 fucai@hust.edu.cn, Qingfeng, Huang2 qfhuang@mail.hust.edu.cn, LanSheng, Han1 hanlansheng@hust.edu.cn, Li, Shen1 530841108@qq.com, Xiao-Yang, Liu3 yanglet@sjtu.edu.cn |
| Source: | EURASIP Journal on Wireless Communications & Networking. Dec2013, Vol. 2013 Issue 1, p1-14. 14p. |
| Subjects: | Computer viruses, Computer virus prevention, Algorithm research, Wireless communications security, Wireless communications |
| Abstract: | With the development of mobile networks, propagation characteristics and defense mechanism of the virus have attracted increasing research attention. But current researches are mainly concerned with static network topology or community structure and some studies focus on characteristics of virus and malware. Little attention is paid to the influence of dynamic changes of network topology to virus propagation. Meanwhile, many studies focus on the threshold rate of the infection (or the immunization rate) for virus outbreak. In this paper, we present a new way to assess and restrain virus propagation by proposing the concepts of propagation power and propagation structure. Three basic propagation structures are presented through which the infection risk can be quantified, and a framework is proposed to assess the impact of virus propagation in different network structures. The relationship between the speed of virus propagation and network structure is also explored. An algorithm is designed to assess the propagation power in a dynamic network with no need to redetect the community under the dynamic network which may significantly improve the efficiency of assessment in a large-scale dynamic network. This study offers a feasible approach for quantifying the risk of virus infection in the network community which is valuable for designing and optimizing the virus defense systems. [ABSTRACT FROM AUTHOR] |
| Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 92889515 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Virus propagation power of the dynamic network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cai%2C+Fu%22">Cai, Fu</searchLink><relatesTo>1</relatesTo><i> fucai@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qingfeng%2C+Huang%22">Qingfeng, Huang</searchLink><relatesTo>2</relatesTo><i> qfhuang@mail.hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22LanSheng%2C+Han%22">LanSheng, Han</searchLink><relatesTo>1</relatesTo><i> hanlansheng@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Shen%22">Li, Shen</searchLink><relatesTo>1</relatesTo><i> 530841108@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xiao-Yang%2C+Liu%22">Xiao-Yang, Liu</searchLink><relatesTo>3</relatesTo><i> yanglet@sjtu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Wireless+Communications+%26+Networking%22">EURASIP Journal on Wireless Communications & Networking</searchLink>. Dec2013, Vol. 2013 Issue 1, p1-14. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+viruses%22">Computer viruses</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+virus+prevention%22">Computer virus prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithm+research%22">Algorithm research</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications+security%22">Wireless communications security</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the development of mobile networks, propagation characteristics and defense mechanism of the virus have attracted increasing research attention. But current researches are mainly concerned with static network topology or community structure and some studies focus on characteristics of virus and malware. Little attention is paid to the influence of dynamic changes of network topology to virus propagation. Meanwhile, many studies focus on the threshold rate of the infection (or the immunization rate) for virus outbreak. In this paper, we present a new way to assess and restrain virus propagation by proposing the concepts of propagation power and propagation structure. Three basic propagation structures are presented through which the infection risk can be quantified, and a framework is proposed to assess the impact of virus propagation in different network structures. The relationship between the speed of virus propagation and network structure is also explored. An algorithm is designed to assess the propagation power in a dynamic network with no need to redetect the community under the dynamic network which may significantly improve the efficiency of assessment in a large-scale dynamic network. This study offers a feasible approach for quantifying the risk of virus infection in the network community which is valuable for designing and optimizing the virus defense systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/1687-1499-2013-210 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Computer viruses Type: general – SubjectFull: Computer virus prevention Type: general – SubjectFull: Algorithm research Type: general – SubjectFull: Wireless communications security Type: general – SubjectFull: Wireless communications Type: general Titles: – TitleFull: Virus propagation power of the dynamic network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cai, Fu – PersonEntity: Name: NameFull: Qingfeng, Huang – PersonEntity: Name: NameFull: LanSheng, Han – PersonEntity: Name: NameFull: Li, Shen – PersonEntity: Name: NameFull: Xiao-Yang, Liu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 16871472 Numbering: – Type: volume Value: 2013 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Wireless Communications & Networking Type: main |
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