Data Mining - Concepts and Techniques.

Form a privacy perspective most concerns against the common use of biometrics arise from the storage and misuse of biometric data. Biometric cryptosystems and cancelable biometrics represent emerging technologies of biometric template protection addressing these concerns and improving public confidence and acceptance of biometrics. In addition, biometric cryptosystems provide mechanisms for biometric-dependent key-release. In the last years a significant amount of approaches to both technologies have been published. A comprehensive survey of biometric cryptosystems and cancelable biometrics is presented. State-of-the-art approaches are reviewed based on which an in-depth discussion and an outlook to future prospects are given.

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A survey on biometric cryptosystems and cancelable biometrics

Biometric Recognition - Security and Privacy Concerns.

Distributed denial of service (DDoS) resilience in cloud

DDoS attacks in cloud computing

Network Path Analysis for developing an enhanced TAM model: A user-centric e-learning perspective

This paper proposes a novel technique to generate an irrevocable cryptographic key from the biometric template. The biometric trait considered here is the palm vein. The technique proposed here utilises the minutiae features extracted from the pattern generated. The features include bifurcation points and ending points. Since other cryptographic keys are probable to theft or guess, keys generated from the biometric entity are more preferable as these biometric keys are attached with the user. Minutiae patterns generated from the palm vein are converted to cancelable templates which in turn are used for irrevocable key generation.

A secure cryptosystem from palm vein biometrics

Distributed Denial of Service (DDoS) attack launched in Cloud computing environment resulted in loss of sensitive information, Data corruption and even rarely lead to service shutdown. Entropy based DDoS mitigation approach analyzes the heuristic data and acts dynamically according to the traffic behavior to effectively segregate the characteristics of incoming traffic. Heuristic data helps in detecting the traffic condition to mitigate the flooding attack. Then, the traffic data is analyzed to distinguish legitimate and attack characteristics. An additional Trust mechanism has been deployed to differentiate legitimate and aggressive legitimate users. Hence, Goodput of Datacenter has been improved by detecting and mitigating the incoming traffic threats at each stage. Simulation results proved that the Enhanced Entropy approach behaves better at DDoS attack prone zones. Profit analysis also proved that the proposed mechanism is deployable at Datacenter for attack mitigation and resource protection which eventually results in beneficial service at slenderized revenue

https://www.ijcnis.org/index.php/ijcnis/article/download/367/118

An Enhanced Entropy Approach to Detect and Prevent DDoS in Cloud Environment

A space specified token may be used in future for the purpose of authentication in all aspects. Digital information to be stored in space specified token should be of minimized size. Such minimization of the digital data is done and stored using watermarking procedure as proposed for secure purpose. For higher security the key to perform watermarking and Encoding/ Decoding is obtained from a Biometric trait as an added feature

Frequency Domain Combination for Preserving Data in Space Specified Token with High Security

This paper proposes a novel technique to generate an irrevocable cryptographic key from the biometric template and use it as a key to authenticate the smart card. The technique proposed here utilizes the minutiae features extracted from the pattern generated. The features include bifurcation points and ending points. Since other cryptographic keys are probable to theft or guess, keys generated from the biometric entity are more preferable as these biometric keys are attached with the user. Minutiae patterns generated from the palm vein are converted to cancelable templates which in turn are used for irrevocable key generation. And also architecture has been proposed to resist the well-known attacks like replay and forgery attacks and to satisfy the mutual authentication.

A. Kannammal

Papers

Network Path Analysis for developing an enhanced TAM model: A user-centric e-learning perspective

A secure cryptosystem from palm vein biometrics

An Enhanced Entropy Approach to Detect and Prevent DDoS in Cloud Environment

Frequency Domain Combination for Preserving Data in Space Specified Token with High Security

Secure cryptosystem from palm vein biometrics in smart card