{"title":"Enhancing security in MANET through unimodal biometric encryption key","authors":"H. Diwanji, J. S. Shah","doi":"10.1109/NUICONE.2011.6153235","DOIUrl":null,"url":null,"abstract":"For transferring sensitive data as in military applications it is necessary to achieve integrity, confidentiality and authenticity. In this paper, the scheme to generate encryption key with unimodal biometric fingerprint is discussed. As mobile ad hoc network does not have heavy computational power, multimodal biometric approach is not feasible. From receiver's fingerprint feature sets are generated with the help of regression model using binomial distribution. Crossover is performed on these feature sets. The encryption key generated is of 48 bits for DES algorithm. To achieve authentication digital signature is used. The proposed scheme is evaluated for cryptanalysis, brute force attack and found out that this scheme withstands against all attacks. It is also found that false accept rate is zero and false reject rate is higher.","PeriodicalId":206392,"journal":{"name":"2011 Nirma University International Conference on Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Nirma University International Conference on Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUICONE.2011.6153235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
For transferring sensitive data as in military applications it is necessary to achieve integrity, confidentiality and authenticity. In this paper, the scheme to generate encryption key with unimodal biometric fingerprint is discussed. As mobile ad hoc network does not have heavy computational power, multimodal biometric approach is not feasible. From receiver's fingerprint feature sets are generated with the help of regression model using binomial distribution. Crossover is performed on these feature sets. The encryption key generated is of 48 bits for DES algorithm. To achieve authentication digital signature is used. The proposed scheme is evaluated for cryptanalysis, brute force attack and found out that this scheme withstands against all attacks. It is also found that false accept rate is zero and false reject rate is higher.