CAPTCHA as Graphical Passwords - A New Security Primitive | Based on Hard AI Problems

A. Meiappane (u. a.)

ISBN 10: 3639769236 / ISBN 13: 9783639769234

Published by Scholars' Press, 2015

About this Item

CAPTCHA as Graphical Passwords - A New Security Primitive | Based on Hard AI Problems | A. Meiappane (u. a.) | Taschenbuch | 68 S. | Englisch | 2015 | Scholars' Press | EAN 9783639769234 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 104217502

Bibliographic Details

• Title: CAPTCHA as Graphical Passwords - A New Security Primitive | Based on Hard AI Problems
• Publisher: Scholars' Press
• Publication Date: 2015
• Language: English
• ISBN 10: 3639769236
• ISBN 13: 9783639769234
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Many security primitives are based on hard mathematical problems. Using hard AI problems for security is emerging as an exciting new paradigm, but has been underexplored. In this project, we present a new security primitive based on hard AI problems, namely, a novel family of graphical password systems built on top of Captcha technology, which we call Captcha as graphical passwords (CaRP). CaRP is both a Captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks. Notably, a CaRP password can be found only probabilistically by automatic online guessing attacks even if the password is in the search set. CaRP also offers a novel approach to address the well-known image hotspot problem in popular graphical password systems, such as PassPoints that often leads to weak password choices. CaRP is not a panacea, but it offers reasonable security and usability and appears to fit well with some practical applications for improving online security.

About the Author

Dr. A. Meiappane, Manakula Vinayagar Institute of Technology, Puducherry, India. He holds M.Tech. & Ph.D CSE(Banking Technology) - Interdisciplinary. His research interest includes Pattern Oriented Software Architecture, AI & Distributed Systems. Mr. V. Premanand completed M.Tech(CSE) in Manakula Vinayagar Institute of Technology, Puducherry, India