Graphical Password Authentication Schemes: Current Status and Key Issues
Authentication is one the most important security primitive. Password authentication is most widely used authentication mechanism. Users generally use characters as passwords but text-based passwords are difficult to remember and if they are easy to remember then they are vulnerable to various kinds of attacks and are predictable. To address these authentication problems, a new alternative authentication method have been proposed using pictures as passwords. It is supported by the fact that Human brain has remarkable ability to remember thousands of images with detail. Whereas it difficult to keep text in memory. In Graphical authentication user performs some events on pictures like clicking, dragging, moving mouse etc. In this paper, we conduct a comprehensive survey of the existing graphical authentication systems. We have classified these methods in to three main areas: Recognition based schemes, pure recall based schemes and cued recall based schemes. We will discuss their security and usability issues since efficiency of picture password is measured by these two factors.
Keywords: Graphical password authentication, Picture Password, Graphical password Usability and Security, Graphical Password Schemes, Graphical Password Issues.
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ABOUT THE AUTHORS
Harsh Kumar Sarohi
Harsh Kumar Sarohi is pursuing M.Tech in Computer Science and Engineering from Amity School of Engineering & Technology at Amity University, Noida, Uttar Pardesh, India. He has done B.Tech from Shobhit University in 2011. He has worked as a Software developer. He has implemented research projects such as Content Based Image Retrieval using Color Classification; CBIR using perceptual hashing etc. His research interests include Image retrieval, Image Authentication, Image Processing.
Farhat Ullah Khan
has done his M.Tech in Information Technology with specialization in Intelligent Systems, from Indian Institute of Information Technology Allahabad (IIITA) in the year 2010. He has served as software developer in an IT company. He has also done BCA and PGDCA. He has qualified Microsoft Certification (MCP) in ASP.Net using C#. He is a member of IEEE and IET UK. . Currently he is an Assistant Professor in Amity School of Engineering & Technology at Amity University, Noida, Uttar Pardesh, India. Professor Khan is contributing in the research areas like Intelligent Systems, Natural Language Processing; Machine learning and soft computing.
Harsh Kumar Sarohi
Harsh Kumar Sarohi is pursuing M.Tech in Computer Science and Engineering from Amity School of Engineering & Technology at Amity University, Noida, Uttar Pardesh, India. He has done B.Tech from Shobhit University in 2011. He has worked as a Software developer. He has implemented research projects such as Content Based Image Retrieval using Color Classification; CBIR using perceptual hashing etc. His research interests include Image retrieval, Image Authentication, Image Processing.
Farhat Ullah Khan
has done his M.Tech in Information Technology with specialization in Intelligent Systems, from Indian Institute of Information Technology Allahabad (IIITA) in the year 2010. He has served as software developer in an IT company. He has also done BCA and PGDCA. He has qualified Microsoft Certification (MCP) in ASP.Net using C#. He is a member of IEEE and IET UK. . Currently he is an Assistant Professor in Amity School of Engineering & Technology at Amity University, Noida, Uttar Pardesh, India. Professor Khan is contributing in the research areas like Intelligent Systems, Natural Language Processing; Machine learning and soft computing.
