Correlation Keystroke Verification Scheme for User Access Control in Cloud Computing Environment

Xi, Kai; Tang, Yan; Hu, Jiankun

doi:10.1093/comjnl/bxr064

Cited by 51 publications

(22 citation statements)

References 14 publications

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“…Security is a very broad area ranging from access control [16], key generation [17], to intrusion detection [18]. In the future work, we will investigate how to apply the proposed NDTC scheme to the biometrics template protection framework [19][20] to form a strong bio-cryptography system.…”

Section: Discussionmentioning

confidence: 99%

NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check

Yang

Stojmenović

2012

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

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The problem of recognizing an individual using minutiae of fingerprints can be considered as a point matching problem. However, several factors such as the translation, rotation and deformation of the fingerprints as well as the presence of spurious minutiae and the absence of genuine minutiae, make it difficult to find correspondent minutia-pairs. In this paper, we proposed a novel topology-based fingerprint matching algorithm named N-layer Delaunay Triangulation Net Check (NDTC). This scheme fully utilizes the advantages of the special features of Delaunay triangulation net, e.g. local structural stability and global structural uniqueness, to tackle these problems, in order to to provide reliable and robust minutiae matching. Our algorithm performance is evaluated on a public domain database FVC2002 DB2_A.

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Section: Discussionmentioning

confidence: 99%

NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check

Yang

Stojmenović

2012

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

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“…Independent authors propose biometric authentication based on fingerprint through an authentication server and a client software [8] or fingerprint features in [9] are not only used for biometric verication but also for cryptographic key generation; in [10] author involves a fingerprint biometric and password to enhance the security level of the remote authentication scheme for mobile device; paper [11] proposes two-factor authentication scheme based on Schnorr digital signature and feature extraction from fingerprint. As a typical behavioral biometrics, some author [12] [13] use keystroke dynamics to obtain a UAC solution. The advantage of using behavioral biometrics such as keystroke dynamics is that it can be collected even without the knowledge of the user.…”

Section: Related Workmentioning

confidence: 99%

Accessing Cloud Services through Biometrics Authentication

Ruiu

Caragnano

Masala

et al. 2016

2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)

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The adoption of Cloud computing involves many advantages in terms of flexibility, scalability and reliability, but also implies new challenges on security, data privacy and protection of personal data. Since more and more sensitive applications and data are moved to the cloud, to verify that each of the participants in the electronic communication is really who he claims to be has become a crucial challenge. Currently, the use of biometric techniques can be considered as an effective solution to ensure a significant increase of security in the authentication protocols managed by modern authentication servers. However the use of biometric data for the logical access to IT services is a more challenging and still unsolved problem. The project Cloud for SME integrates a biometric authentication based on fingerprints with a cloud computing platform, investigating how highly secure authentication methods can increase the adoption of cloud computing technologies among small and medium enterprises.

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“…For example, a worker role may implement the execution of in-house codes, launch hosted executable applications, write files, and store results. The WA storage (WAS) [39] provides four services (BLOB, Table, Queue, Drive) [40] that are secure [41], scalable, and easy to access making storage activities durable in the cloud. The BLOB (binary large object) service is the file system providing storage for large datasets such as images, video, documents.…”

Section: The Structure-adaptive-materials-prediction Compute System Imentioning

confidence: 99%

A cloud computing system in windows azure platform for data analysis of crystalline materials

Xing

Blaisten‐Barojas

2012

Concurrency and Computation

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SUMMARYCloud computing is attracting the attention of the scientific community. In this paper, we develop a new cloud‐based computing system in the Windows Azure platform that allows users to use the Zeolite Structure Predictor (ZSP) model through a Web browser. The ZSP is a novel machine learning approach for classifying zeolite crystals according to their framework type. The ZSP can categorize entries from the Inorganic Crystal Structure Database into 41 framework types. The novel automated system permits a user to calculate the vector of descriptors used by ZSP and to apply the model using the Random Forest™ algorithm for classifying the input zeolite entries. The workflow presented here integrates executables in Fortran and Python for number crunching with packages such as Weka for data analytics and Jmol for Web‐based atomistic visualization in an interactive compute system accessed through the Web. The compute system is robust and easy to use. Communities of scientists, engineers, and students knowledgeable in Windows‐based computing should find this new workflow attractive and easy to be implemented in scientific scenarios in which the developer needs to combine heterogeneous components. Copyright © 2012 John Wiley & Sons, Ltd.

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Correlation Keystroke Verification Scheme for User Access Control in Cloud Computing Environment

Cited by 51 publications

References 14 publications

NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check

NDTC: A novel topology-based fingerprint matching algorithm using N-layer Delaunay triangulation net check

Accessing Cloud Services through Biometrics Authentication

A cloud computing system in windows azure platform for data analysis of crystalline materials

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