B. K. Alese, A. Akindele, F. Dahunsi, A. Thompson, Tosin A. Adesuyi
{"title":"A graphic-based cryptographic model for authentication","authors":"B. K. Alese, A. Akindele, F. Dahunsi, A. Thompson, Tosin A. Adesuyi","doi":"10.1109/CyberSA.2017.8073395","DOIUrl":null,"url":null,"abstract":"Conventional password has been used for authentication for a long time due to its advantages. However, it drawbacks such as weak or unrecalled passwords has frequently compromised security. This paper presents a graphic-based cryptographic model (GBCM) with enhanced usability and security. The GBCM model consists of registration and verification stages that users must successfully complete in order to be authenticated. A hybrid technique based on recognition, cued and pure recall was adopted. The GBCM security is enhanced by using a three-level authentication mode, secret key, operator and scrambling of grid cells, thereby mitigating shoulder surfing attack; usability is enhanced using grid cell identity (ID) and images. Consequently, the implementation shows that, out of 18 users registration done with the system, 83.33% remembered their images, 83.33% also remembered their secret keys while 88.89% remembered their operator, resulting in 77.78% successful login. The login success proves user friendliness of the GBCM system.","PeriodicalId":365296,"journal":{"name":"2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CyberSA.2017.8073395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Conventional password has been used for authentication for a long time due to its advantages. However, it drawbacks such as weak or unrecalled passwords has frequently compromised security. This paper presents a graphic-based cryptographic model (GBCM) with enhanced usability and security. The GBCM model consists of registration and verification stages that users must successfully complete in order to be authenticated. A hybrid technique based on recognition, cued and pure recall was adopted. The GBCM security is enhanced by using a three-level authentication mode, secret key, operator and scrambling of grid cells, thereby mitigating shoulder surfing attack; usability is enhanced using grid cell identity (ID) and images. Consequently, the implementation shows that, out of 18 users registration done with the system, 83.33% remembered their images, 83.33% also remembered their secret keys while 88.89% remembered their operator, resulting in 77.78% successful login. The login success proves user friendliness of the GBCM system.