{"title":"考虑中间中心性的改进自主计算网络免疫","authors":"Susan K. Paul, Biju Abraham Narayamparambil","doi":"10.1109/SAPIENCE.2016.7684128","DOIUrl":null,"url":null,"abstract":"As many people rely on Internet and mobile phone for many applications, it is very crucial for society. Networks, formed by the connection of devices following some relationships among users, provide good platforms for virus spread. Viruses can cause data leakage and can even jam wireless services by sending thousands of Spam messages, and reduce the quality of voice communication. In order to protect devices from virus attack several immunization methods are used, where some nodes in a network are immunized so that they cannot be infected by a virus. Due to high cost of immunization, the main aim of immunization becomes how to immunize a small or minimum number of important nodes in order to prevent a virus from spreading to major parts of the network. Most of the immunization methods are executed in centralized and static networks but in actual situation computer networks are decentralized, dynamic and scalable in nature. In the method discussed here some entities are deployed into the network, these entities interact with each other to locate highly connected nodes. The goal of this work is to implement modified AOC based immunization by considering betweenness centrality and analyze its results on different network topology.","PeriodicalId":340137,"journal":{"name":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified autonomy oriented computing based network immunization by considering betweenness centrality\",\"authors\":\"Susan K. Paul, Biju Abraham Narayamparambil\",\"doi\":\"10.1109/SAPIENCE.2016.7684128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As many people rely on Internet and mobile phone for many applications, it is very crucial for society. Networks, formed by the connection of devices following some relationships among users, provide good platforms for virus spread. Viruses can cause data leakage and can even jam wireless services by sending thousands of Spam messages, and reduce the quality of voice communication. In order to protect devices from virus attack several immunization methods are used, where some nodes in a network are immunized so that they cannot be infected by a virus. Due to high cost of immunization, the main aim of immunization becomes how to immunize a small or minimum number of important nodes in order to prevent a virus from spreading to major parts of the network. Most of the immunization methods are executed in centralized and static networks but in actual situation computer networks are decentralized, dynamic and scalable in nature. In the method discussed here some entities are deployed into the network, these entities interact with each other to locate highly connected nodes. The goal of this work is to implement modified AOC based immunization by considering betweenness centrality and analyze its results on different network topology.\",\"PeriodicalId\":340137,\"journal\":{\"name\":\"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAPIENCE.2016.7684128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Data Mining and Advanced Computing (SAPIENCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAPIENCE.2016.7684128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified autonomy oriented computing based network immunization by considering betweenness centrality
As many people rely on Internet and mobile phone for many applications, it is very crucial for society. Networks, formed by the connection of devices following some relationships among users, provide good platforms for virus spread. Viruses can cause data leakage and can even jam wireless services by sending thousands of Spam messages, and reduce the quality of voice communication. In order to protect devices from virus attack several immunization methods are used, where some nodes in a network are immunized so that they cannot be infected by a virus. Due to high cost of immunization, the main aim of immunization becomes how to immunize a small or minimum number of important nodes in order to prevent a virus from spreading to major parts of the network. Most of the immunization methods are executed in centralized and static networks but in actual situation computer networks are decentralized, dynamic and scalable in nature. In the method discussed here some entities are deployed into the network, these entities interact with each other to locate highly connected nodes. The goal of this work is to implement modified AOC based immunization by considering betweenness centrality and analyze its results on different network topology.