4 research outputs found
An Enhanced Authentication System using Multi-Level Security for web Services
With growing use of internet and its services, a large number of organizations are making use of password to provide security. A password is a secret word or combination of alphabet used for user authentication. Authentication to user account to access internet services on-line is achieved victimization password. The password is most convenient means of authentication. But now a day’s password becomes hacked by the attacker. To provide more security, we are using Kerberos and the video CAPTCHA as authentication technique. Kerberos is a authentication protocol and CAPTCHA is a (Completely Automated Public Turing Test to tell Computer and Human Apart) test which provide a way to differentiate user into a human and malicious program. CAPTCHA become the most widely used standard security technique to prevent automated computer program attack. Our aim is to proposed a system which can be a better than existing CAPTCHA and provide higher level of authentication.
DOI: 10.17762/ijritcc2321-8169.150511
Two Way Authentication for Web Services using Video CAPTCHA and Kerberos
ABSTRACT: With growing use of internet and its services, a large number of organizations are making use of password to provide security. The password is most convenient means of authentication. But now a day's password becomes hacked by the attacker. To provide more security, we are using Kerberos and the video CAPTCHA as authentication technique. Kerberos is a authentication protocol and CAPTCHA is a (Completely Automated Public Turing Test to tell Computer and Human Apart) test which provide a way to differentiate user into a human and malicious program. CAPTCHA become the most widely used standard security technique to prevent automated computer program attack. Our aim is to proposed a system which can be a better than existing CAPTCHA and provide higher level of authentication
The robustness of animated text CAPTCHAs
PhD ThesisCAPTCHA is standard security technology that uses AI techniques to tells computer and
human apart. The most widely used CAPTCHA are text-based CAPTCHA schemes. The
robustness and usability of these CAPTCHAs relies mainly on the segmentation resistance
mechanism that provides robustness against individual character recognition attacks.
However, many CAPTCHAs have been shown to have critical flaws caused by many
exploitable invariants in their design, leaving only a few CAPTCHA schemes resistant to
attacks, including ReCAPTCHA and the Wikipedia CAPTCHA.
Therefore, new alternative approaches to add motion to the CAPTCHA are used to add
another dimension to the character cracking algorithms by animating the distorted
characters and the background, which are also supported by tracking resistance
mechanisms that prevent the attacks from identifying the main answer through frame-toframe
attacks. These technologies are used in many of the new CAPTCHA schemes
including the Yahoo CAPTCHA, CAPTCHANIM, KillBot CAPTCHAs, non-standard
CAPTCHA and NuCAPTCHA.
Our first question: can the animated techniques included in the new CAPTCHA schemes
provide the required level of robustness against the attacks? Our examination has shown
many of the CAPTCHA schemes that use the animated features can be broken through
tracking attacks including the CAPTCHA schemes that uses complicated tracking
resistance mechanisms.
The second question: can the segmentation resistance mechanism used in the latest standard
text-based CAPTCHA schemes still provide the additional required level of resistance
against attacks that are not present missed in animated schemes? Our test against the latest
version of ReCAPTCHA and the Wikipedia CAPTCHA exposed vulnerability problems
against the novel attacks mechanisms that achieved a high success rate against them.
The third question: how much space is available to design an animated text-based
CAPTCHA scheme that could provide a good balance between security and usability? We
designed a new animated text-based CAPTCHA using guidelines we designed based on the
results of our attacks on standard and animated text-based CAPTCHAs, and we then tested
its security and usability to answer this question.
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In this thesis, we put forward different approaches to examining the robustness of animated
text-based CAPTCHA schemes and other standard text-based CAPTCHA schemes against
segmentation and tracking attacks. Our attacks included several methodologies that
required thinking skills in order to distinguish the animated text from the other animated
noises, including the text distorted by highly tracking resistance mechanisms that displayed
them partially as animated segments and which looked similar to noises in other
CAPTCHA schemes. These attacks also include novel attack mechanisms and other
mechanisms that uses a recognition engine supported by attacking methods that exploit the
identified invariants to recognise the connected characters at once. Our attacks also
provided a guideline for animated text-based CAPTCHAs that could provide resistance to
tracking and segmentation attacks which we designed and tested in terms of security and
usability, as mentioned before. Our research also contributes towards providing a toolbox
for breaking CAPTCHAs in addition to a list of robustness and usability issues in the
current CAPTCHA design that can be used to provide a better understanding of how to
design a more resistant CAPTCHA scheme