Title :
Drag and Drop: A Better Approach to CAPTCHA
Author :
Desai, Arpan ; Patadia, Pragnesh
Author_Institution :
A.D.Patel Inst. of Technol., Sardar Patel Univ., New VidhyaNagar, India
Abstract :
A completely automated public Turing test to tell computers and humans apart is a test use to determine whether the user is a human or a malicious computer program. In simple terms CAPTCHA is a program that can generate and grade tests that most humans can pass, yet current computer programs can´t pass. They can be found as blurred or distorted random images, in free email signups, online polls or commenting on blogs; these images are difficult to recognize by computer programs but easy for most humans. They work as basic tool for preventing denial of service, brute force attacks and advertising spams. CAPTCHAs have evolved from simple text based to recent advancements like audio and visual tests. Text based CAPTCHAs have been broken successfully with the help of optical character recognition and every approach is vulnerable against laundry attacks or redirection. The suggested approach ´drag and drop CAPTCHA´ or ´DnD´ is inclusive solution against OCR and laundry attacks. This HIP challenge uses conventional mouse events to recognize human intervention proof. If an attacker computer knows the answer of test but it can´t pass this test without human intervention. This technique can be considered as an artificial intelligence challenge. It creates win-win situation either this tough AI problem gets solved or DnD technique is distinction tool for human & computers.
Keywords :
Internet; Turing machines; artificial intelligence; optical character recognition; security of data; text analysis; CAPTCHA program; Internet security; advertising spam; artificial intelligence; brute force attack; completely automated public Turing test to tell computers and humans apart; computer program; denial of service; drag and drop CAPTCHA; human intervention proof; laundry attack; optical character recognition; text based CAPTCHA; Advertising; Artificial intelligence; Automatic testing; Blogs; Computer crime; Drag; Humans; Image recognition; Optical character recognition software; Optical distortion;
Conference_Titel :
India Conference (INDICON), 2009 Annual IEEE
Conference_Location :
Gujarat
Print_ISBN :
978-1-4244-4858-6
Electronic_ISBN :
978-1-4244-4859-3
DOI :
10.1109/INDCON.2009.5409359