Algorithm for Secured Online Authentication Using CAPTCHA

Chandavale, Anjali; Sapkal, A. M.

doi:10.1109/icetet.2010.126

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…Generally, different kinds of phishing attacks include deceptive phishing [3], phishing based on destructive software [4], web trojans [5], pharming [6], phishing injection [7], phishing using fake applications [8], domain hijacking [9], spear phishing [10] and changing user system settings attacks [6]. To confront these attacks many techniques and methods have been invented such Sign-in Seal [11], developing expert system based on characteristics of web pages in order to detect phishing websites [12], genetic algorithm based on anti-phishing techniques [13], detection of phishing attacks based on categorizing super links [14], attribute-based prevention of phishing attacks [15], content based on anti-phishing approach [16], confronting phishing attacks by two step identification [17], detection of phishing pages based on associated relationships [18], detection of phishing pages by comparing the amount of difference between the address string and the white list [19], ranking based antiphishing approach [20], and using data mining algorithms [21].…”

Section: Introductionmentioning

confidence: 99%

An Introduction to Journal Phishings and Their Detection Approach

Dadkhah¹,

Sutikno

Jazi³

et al. 2015

TELKOMNIKA

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IntroductionPhishing attacks is an effort for accessing people important information like; username, password, and credit cards information, using social engineering techniques [1]. These attacks were explained in 1987 by details and were used in 1996 for the first time [2]. In these attacks, to increasing success ratio, attackers try to represent themselves in a way that victims trust them and accept them as a legal agents of valid organiztion such as banks. In these kinds of attacks, phishers (forgers who use phishing attacks), begins their plan by designing a website which is similar to legal website. Having done this step, the must find a way to persuade their victims to enter their own website and enter his/her information. So, main target on a phishing attack is to use a fake connection which begins with a e-mail including fake URL from a banks or governmental agency. Attacker or phishing attack designer tries to use cases which are attractive to victims and can pay their attention. Then tries to achieve name, phone number or any other kinds of information which can be used for advancing his goals, on the other hand phishing attacks are used to steal victims` identification using computer networks. These kinds of attacks are designed generally by means of accessing to people IDs and passwords. But generally, includes any kind of information which illegal use of them will follow attackers benefits.Many studies and efforts have been done to introducing different kinds of phishing attacks and their confronting ways. Generally, different kinds of phishing attacks include deceptive phishing [3]

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Section: Introductionmentioning

confidence: 99%

An Introduction to Journal Phishings and Their Detection Approach

Dadkhah¹,

Sutikno

Jazi³

et al. 2015

TELKOMNIKA

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“…Apart, is a computer program that human can pass but the current computer programs cannot [1]. It is mainly used to protect web-based services against automated computer programs.…”

Section: Captcha Stands For Completely Automated Public Turing Test Tmentioning

confidence: 99%

Labeled-Image CAPTCHA: concept of a secured and universally useful CAPTCHA

Hossain

Nguyen

Rahman

2015

2015 UBT International Conference

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Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is a widely used online security tool that ensures that a computer program is not posing as a human user. While smart programs with advanced image processing capability have already cracked picture based captcha systems there is a need for making the test harder. This paper presents a design prototype of a simplified type of labeled-image captcha where a picture of a common animal or household item is marked with a number of different labels and the users will be asked to provide the correct label for specific parts of the picture. Due to human's familiarity with body shapes and part names of such common pictures, they will easily identify a specific organ/parts of the picture. Such labeled-image captcha tests are expected to be very easy for human users regardless of their culture, age, gender, educational background and other discriminations but tough for the bots and automated computer programs.

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“…Another common method of breaking CAPTCHAs is using an image processing method. There are three major steps in this method: pre-processing, segmentation, and character recognition [1]. First, the color of distorted image of a CAPTCHA challenge is converted into a limited color (e.g.…”

Section: How Captchas Are Brokenmentioning

confidence: 99%

“…Noises are removed and the image is segmented into segments that may represent a character. Finally, in the character recognition phase the segmented characters are deciphered using pattern-matching techniques [1]. Figure 2 shows typical architecture of a CAPTCHA breaker system.…”

Section: How Captchas Are Brokenmentioning

confidence: 99%

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Labeled-Image CAPTCHA: concept of a secured and universally useful CAPTCHA

Hossain

Nguyen

Rahman

2015

IJBTE

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Captcha (Completely Automated Public Turing test to tell Computers and Humans Apart) is a widely used online security tool that ensures that a computer program is not posing as a human user. While smart programs with advanced image processing capability have already cracked picture based captcha systems there is a need for making the test harder. This paper presents a design prototype of a simplified type of labeled-image captcha where a picture of a common animal or household item is marked with a number of different labels and the users will be asked to provide the correct label for specific parts of the picture. Due to human’s familiarity with body shapes and part names of such common pictures, they will easily identify a specific organ/parts of the picture. Such labeled-image captcha tests are expected to be very easy for human users regardless of their culture, age, gender, educational background and other discriminations but tough for the bots and automated computer programs.

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Algorithm for Secured Online Authentication Using CAPTCHA

Cited by 7 publications

References 9 publications

An Introduction to Journal Phishings and Their Detection Approach

An Introduction to Journal Phishings and Their Detection Approach

Labeled-Image CAPTCHA: concept of a secured and universally useful CAPTCHA

Labeled-Image CAPTCHA: concept of a secured and universally useful CAPTCHA

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