A novel strategy which works with improved performance in many factors. We have used Open CV, an picture handling tool kit for applying and examining our ideas. We present a new protection basic based on hard AI issues, namely, a novel family of visual protection password techniques built on top of Captcha technology, which we call Captcha as visual security passwords (CaRP). CaRP is both a Cap...

Herein, we propose generating CAPTCHAs through random field simulation and give a novel, effective and efficient algorithm to do so. Indeed, we demonstrate that sufficient information about word tests for easy human recognition is contained in the site marginal probabilities and the site-to-nearby-site covariances and these quantities can be embedded into KNW conditional probabilities, designed...

The internet and web security are integral aspects of our daily lives. Many commercial firms provide clients with services. For access, it is assumed that only the genuine user, who a human, will register. Yet automated hacking programs can also do registrations fake data consume lot bandwidth, slowing down or occasionally even shutting websites, leading to Distributed denial-of-service (DDOS) ...

To date, CAPTCHAs have served as the first line of defense to prevent unauthorized access by (malicious) bots web-based services, while at same time maintaining a trouble-free experience for human visitors. However, recent work in literature has shown that sophisticated using advancements Machine Learning (ML) can easily bypass existing CAPTCHA-based defenses. This introduces CAPTURE, novel CAP...

We argue that traditional security solutions do not necessarily work for mobile environments, but that suitable solutions can and must be developed to address the needs of mobile platforms. To support this, we describe how the differences are likely to affect security and describe mobile-friendly solutions for CAPTCHAs, user authentication, and malware protection.

Completely automated public turing test to tell computers and humans apart (CAPTCHA) is widely used prevent malicious attacks on various online services. Text- image-CAPTCHAs have shown broader acceptability due usability security factors. However, recent progress in deep learning implies that text-CAPTCHAs can easily be exposed fraudulent attacks. Thus, are getting research attention enhance s...

CAPTCHA is a completely automated program designed to distinguish whether the user is a computer or human. As the problems of Internet security are worsening, it is of great significance to do research on CAPTCHA. This article starts from the recognition of CAPTCHAs, then analyses the weaknesses in its design and gives corresponding recognition proposals according to various weaknesses, finally...

Human Interactive Proofs (HIPs) are automatic reverse Turing tests designed to distinguish between various groups of users. Completely Automatic Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a HIP system that distinguish between humans and malicious computer programs. Many CAPTCHAs have been proposed in the literature that text-graphical based, audio-based, puzzle-based and...

The malware attacks attempt to deplete the cloud services with bogus request which is a major threat in cloud. A mechanism to intensify the login security in cloud is suggested. The concept of CaPGP – CAPTCHA as Puzzle and Graphical Password is introduced because CAPTCHA is one way to discriminate human and malware apart. The computations at the client side are made intensive than on the server...