Department of Computer Science (UG)

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    PROACTIVE PASSWORD STRENGTH ANALYZER USING FILTERS AND MACHINE LEARNING TECHNIQUES
    (International Journal of Computer Applications, 2010-10) Suganya G; Karpagavalli S
    Passwords are ubiquitous authentication methods and they represent the identity of an individual for a system. Users are consistently told that a strong password is essential these days to protect private data. Despite the existence of more secure methods of authenticating users, including smart cards and biometrics, password authentication continues to be the most common means in use. Thus it is important for organizations to recognize the vulnerabilities to which passwords are subjected, and develop strong policies governing the creation and use of passwords to ensure that those vulnerabilities are not exploited. This work proposes a framework to analyze the strength of the password proactively. To analyze the chosen password, filters and support vector machine are employed. This framework can be implemented as a submodule of the access control scheme.
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    A SURVEY ON PALM PRINTS AUTHENTICATION SYSTEM
    (International Journal of Scientific Research in Computer Science Applications and Management Studies, 2013-07) Krishnaveni M; Arunpriya C
    Biometrics is rapidly evolving technology which is being widely used in forensics such as criminal identification and top-security prison, and has the potential to be used in a large range of civilian application area. Reliability in computer aided individual authentication is becoming increasingly important in the information-based world, for effective protection system. Biometrics is physiological character of human beings, unique for every person that are frequently time invariant and easy to obtain. Palm print is one of the relatively new physiological biometrics due to its stable and unique characteristics. The quality information of palm print offers one of the powerful means in personal identification.