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Captcha as Graphical Passwords—A New Security Primitive 
Based on Hard AI Problems 
ABSTRACT: 
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 
under-explored. In this paper, 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.
EXISTING SYSTEM: 
 The most notable primitive invented is Captcha, which distinguishes human 
users from computers by presenting a challenge, i.e., a puzzle, beyond the 
capability of computers but easy for humans. Captcha is now a standard 
Internet security technique to protect online email and other services from 
being abused by bots. 
DISADVANTAGES OF EXISTING SYSTEM: 
 This existing paradigm has achieved just a limited success as compared with 
the cryptographic primitives based on hard math problems and their wide 
applications. 
PROPOSED SYSTEM: 
 In this paper, 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. 
ADVANTAGES OF PROPOSED SYSTEM: 
 CaRP offers protection against online dictionary attacks on passwords, 
which have been for long time a major security threat for various online 
services. 
 CaRP also offers protection against relay attacks, an increasing threat to 
bypass Captchas protection. 
SYSTEM REQUIREMENTS: 
HARDWARE REQUIREMENTS: 
 System : Pentium IV 2.4 GHz. 
 Hard Disk : 40 GB. 
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Colour. 
 Mouse : Logitech. 
 Ram : 512 Mb. 
SOFTWARE REQUIREMENTS: 
 Operating system : Windows XP/7. 
 Coding Language : JAVA/J2EE 
 IDE : Netbeans 7.4 
 Database : MYSQL 
REFERENCE: 
Bin B. Zhu, Jeff Yan, Guanbo Bao, Maowei Yang, and Ning Xu ,“Captcha as 
Graphical Passwords—A New Security Primitive Based on Hard AI 
Problems”, VOL. 9, NO. 6, JUNE 2014.

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JPJ1428 Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems

  • 1. Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems ABSTRACT: 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 under-explored. In this paper, 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.
  • 2. EXISTING SYSTEM:  The most notable primitive invented is Captcha, which distinguishes human users from computers by presenting a challenge, i.e., a puzzle, beyond the capability of computers but easy for humans. Captcha is now a standard Internet security technique to protect online email and other services from being abused by bots. DISADVANTAGES OF EXISTING SYSTEM:  This existing paradigm has achieved just a limited success as compared with the cryptographic primitives based on hard math problems and their wide applications. PROPOSED SYSTEM:  In this paper, 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).
  • 3.  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. ADVANTAGES OF PROPOSED SYSTEM:  CaRP offers protection against online dictionary attacks on passwords, which have been for long time a major security threat for various online services.  CaRP also offers protection against relay attacks, an increasing threat to bypass Captchas protection. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.
  • 4.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7.  Coding Language : JAVA/J2EE  IDE : Netbeans 7.4  Database : MYSQL REFERENCE: Bin B. Zhu, Jeff Yan, Guanbo Bao, Maowei Yang, and Ning Xu ,“Captcha as Graphical Passwords—A New Security Primitive Based on Hard AI Problems”, VOL. 9, NO. 6, JUNE 2014.