{"title":"DNA-Based Steganography Using Neural Networks","authors":"M. H. Mohammed, A. Taloba, Botheina H. Ali","doi":"10.1109/JEC-ECC.2018.8679564","DOIUrl":null,"url":null,"abstract":"Steganography is the art or the science of hiding information such as text, audio, video, etc. in another cover media such as text, audio, video and recently the information is hidden in deoxyribonucleic acid (DNA) sequences which have been become a cover medium for steganography. In this paper, a high secured, a high capacity, preserved algorithm is proposed for hiding data in DNA without affecting its functionality or its type. The proposed algorithm is developed using a Neural Network algorithm and the least significant bit (LSB) of the DNA codon to give a lowest cracking probability and a lower execution time. The secret messages are hidden inside the reference DNA sequence and the performance is measured by calculating the cracking probability, capacity, payload and bpn.","PeriodicalId":197824,"journal":{"name":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Japan-Africa Conference on Electronics, Communications and Computations (JAC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JEC-ECC.2018.8679564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Steganography is the art or the science of hiding information such as text, audio, video, etc. in another cover media such as text, audio, video and recently the information is hidden in deoxyribonucleic acid (DNA) sequences which have been become a cover medium for steganography. In this paper, a high secured, a high capacity, preserved algorithm is proposed for hiding data in DNA without affecting its functionality or its type. The proposed algorithm is developed using a Neural Network algorithm and the least significant bit (LSB) of the DNA codon to give a lowest cracking probability and a lower execution time. The secret messages are hidden inside the reference DNA sequence and the performance is measured by calculating the cracking probability, capacity, payload and bpn.