In this paper we consider a clustering wireless sensor network which needs to be protected. The main aim of this article is development of a secure clustering wireless sensor network model with built-in detection and counteraction mechanisms against malicious impacts (attacks). We develop trust management system (TMS), based on analyzing following parameters: residual energy level, send/received/forwarding data, control, routing packets, packets integrity, availability based on beacons, changing the address of the packet. System is efficient in preventing attacks and consumes less energy than analogs.
{"title":"Trust management system for mobile cluster-based wireless sensor network","authors":"E. Abramov, E. Basan, O. Makarevich","doi":"10.1145/2799979.2800001","DOIUrl":"https://doi.org/10.1145/2799979.2800001","url":null,"abstract":"In this paper we consider a clustering wireless sensor network which needs to be protected. The main aim of this article is development of a secure clustering wireless sensor network model with built-in detection and counteraction mechanisms against malicious impacts (attacks). We develop trust management system (TMS), based on analyzing following parameters: residual energy level, send/received/forwarding data, control, routing packets, packets integrity, availability based on beacons, changing the address of the packet. System is efficient in preventing attacks and consumes less energy than analogs.","PeriodicalId":293190,"journal":{"name":"Proceedings of the 8th International Conference on Security of Information and Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123901400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We suggested a method for quantitative information security risk management in computer networks. We used fuzzy estimations of the risk factors and quantitative risk assessment method under the safeguards. We used analytic hierarchy process for quantitative assessment of qualitative risk and cost/benefit subfactors. We used optimization tasks for selection the best set of safeguards.
{"title":"Information security risk management in computer networks based on fuzzy logic and cost/benefit ratio estimation","authors":"Igor Anikin, L. Emaletdinova","doi":"10.1145/2799979.2800022","DOIUrl":"https://doi.org/10.1145/2799979.2800022","url":null,"abstract":"We suggested a method for quantitative information security risk management in computer networks. We used fuzzy estimations of the risk factors and quantitative risk assessment method under the safeguards. We used analytic hierarchy process for quantitative assessment of qualitative risk and cost/benefit subfactors. We used optimization tasks for selection the best set of safeguards.","PeriodicalId":293190,"journal":{"name":"Proceedings of the 8th International Conference on Security of Information and Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125034667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marian Gawron, A. Amirkhanyan, Feng Cheng, C. Meinel
The detection of vulnerabilities in computer systems and computer networks as well as the representation of the results are crucial problems. The presented method tackles the problem with an automated detection and an intuitive representation. For detecting vulnerabilities the approach uses a logical representation of preconditions and postconditions of vulnerabilities. Thus an automated analytical function could detect security leaks on a target system. The gathered information is used to provide security advisories and enhanced diagnostics for the system. Additionally the conditional structure allows us to create attack graphs to visualize the network structure and the integrated vulnerability information. Finally we propose methods to resolve the identified weaknesses whether to remove or update vulnerable applications and secure the target system. This advisories are created automatically and provide possible solutions for the security risks.
{"title":"Automatic vulnerability detection for weakness visualization and advisory creation","authors":"Marian Gawron, A. Amirkhanyan, Feng Cheng, C. Meinel","doi":"10.1145/2799979.2799986","DOIUrl":"https://doi.org/10.1145/2799979.2799986","url":null,"abstract":"The detection of vulnerabilities in computer systems and computer networks as well as the representation of the results are crucial problems. The presented method tackles the problem with an automated detection and an intuitive representation. For detecting vulnerabilities the approach uses a logical representation of preconditions and postconditions of vulnerabilities. Thus an automated analytical function could detect security leaks on a target system. The gathered information is used to provide security advisories and enhanced diagnostics for the system. Additionally the conditional structure allows us to create attack graphs to visualize the network structure and the integrated vulnerability information. Finally we propose methods to resolve the identified weaknesses whether to remove or update vulnerable applications and secure the target system. This advisories are created automatically and provide possible solutions for the security risks.","PeriodicalId":293190,"journal":{"name":"Proceedings of the 8th International Conference on Security of Information and Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126759357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 8th International Conference on Security of Information and Networks","authors":"","doi":"10.1145/2799979","DOIUrl":"https://doi.org/10.1145/2799979","url":null,"abstract":"","PeriodicalId":293190,"journal":{"name":"Proceedings of the 8th International Conference on Security of Information and Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125624706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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