Wyniki wyszukiwania - Biblioteka Nauki

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

2 2017

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Privacy and Security of User’s Sensitive Data: A Viable Analysis

100%

Rauthan J. S. , Vaisla K. S.

Annals of Computer Science and Information Systems

2017

tom Vol. 10

67--71

Big data is a collection of large amount of data. Big Data is known for any collection of data sets which is enormous and intricate that it becomes challenging to process using on-hand database management tools or traditional data processing applications. Because data stored in these days are too large in enormous in size, Security and privacy of user's sensitive data is a great challenge in this era. There are too many methods and techniques are introduced in past decades for storing and protecting the user's sensitive data such as cryptographically techniques or anonymization method which derive to hiding the sensitive data. While the anonymization techniques cannot fulfill requirements of preserving privacy of sensitive data. So we require a system of techniques, that the sensitive information can be protected from hacker.

To study of various security attacks against Biometric template in a generic Biometric Recognition System

100%

Kumar M. , Vaisla K. S.

Annals of Computer Science and Information Systems

2017

tom Vol. 10

235--240

Biometric recognitions system is a system which provides the reliable solution for user authentication in identity management systems. The motivation is that how we can use the effective biometric system in e-Governance service delivery with secure channel. So first we discuss the various security attacks that can be encounter during the enrollment and verification of biometric traits. We analyze various vulnerabilities of biometric system and study the various counter measures that can be present in biometric system in any way. There are many successful developments in the field of e-Authentication but the security is remain challenge in real world. This paper focus on the risks of biometric data at the time of enrollment and verification process. There are many types of attacks like finger print in biometric system by using fake fingers at the sensor could be a serious threat for unattended applications. In biometric system fingerprint matching is very big challenge to match the saved image with real time template with reduce the false match rate and false reject rate. We focus here to analyze the behavior of fingerprint verification because fingerprint verification is the very reliable personal e-Authentication mechanism.