Automated integration of real-time and non-real-time defense systems

With emergence of latest technology, life of individuals has greatly been improved. On the other hand, there has been vulnerabilities and loopholes in the technology that exploited the security. As, user and passwords provide safeguard to data, but physical and behavioral process require the authentication, As, passwords and user login cannot provide proper authentication process. Thus, biometrics process provides the authentication to physical and behavioral characteristics. In this paper, we introduce Secure password-driven Fingerprint Biometrics Authentication (SPFBA) method for protecting the confidential and private information stored onto the smartphone in case of lost and stolen. The SPFBA is unibiometric, but leveraging the features and integrating fingerprint biometrics authentication with password-driven method. Furthermore, false acceptance rate accuracy, false rejection rate accuracy and genuine acceptance rate accuracy are determined. To determine the effectiveness of the proposed SPFBA; Java platform and Android studio are used for implementation. Finally, SPFBA is compared with other known biometric authentication methods from accuracy perspective.

Secure Password-Driven Fingerprint Biometrics Authentication

Sailfish invasive weed optimization algorithm for multiple image sharing in cloud computing

Analysis of Symmetric and Asymmetric Key Algorithms

With the emergence of advanced technology, the user authentication methods have also been improved. Authenticating the user, several secure and efficient approaches have been introduced, but the biometric authentication method is considered much safer as compared to password-driven methods. In this paper, we explore the risks, concerns, and methods by installing well-known open-source software used in Unibiometric analysis by the partners of The National Institute of Standards and Technology (NIST). Not only are the algorithms used all open source but it comes with test data and several internal open source utilities necessary to process biometric data.

Successes and Failures in Exploring Biometric Algorithms in NIST Open Source Software and Data.

Dependence of the individuals on the Internet for performing the several actions require secure data communication. Thus, the reliable data communication improves the confidentiality. As, enhanced security leads to reliable and faster communication. To improve the reliability and confidentiality, there is dire need of fully secured authentication method. There are several methods of password protections were introduced to protect the confidentiality and reliability. Most of the existing methods are based on alphanumeric approaches, but few methods provide the dual authentication process. In this paper, we introduce improved graphical password authentication using Twofish Encryption and Visual Cryptography (TEVC) method. Our proposed TEVC is unpredictably organized as predicting the correct graphical password and arranging its particles in the proper order is harder as compared to traditional alphanumeric password system. TEVC is tested by using JAVA platform. Based on the testing results, we confirm that proposed TEVC provides secure authentication. TEVC encryption algorithm detected as more prudent and possessing lower time complexity as compared to other known existing algorithms message code confirmation and fingerprint scan with password.

Two Factor Authentication using Twofish Encryption and Visual Cryptography Algorithms for Secure Data Communication

Advancement in technology improved living standard. Several known and unknown threats are handled using emerging technology. However, burglary threat is not fully addressed. In this paper, we introduce burglary detection (BD) framework to reduce the house thievery crime rate. BD involves secure home application, and framework. Secure home application involves two modes: protected and unprotected. Protected mode is enabled when people are at property (e.g. home, apartment). Unprotected mode is initiated when people are not in property. In any illegitimate person tries to enter the property, the signals are generated and sent to the owners, this process helps capture the illegitimate person. The proposed BD framework is implemented using Arduino, Java platform and Android. BD is tested and obtained desired results.

Burglary Detection Framework for House Crime Control

With the rapid development of science and technology, wireless networks are now widely used throughout the world. Given the requirement to improve the usability of computers, a context-aware file system has been rendered as an important research topic. Enhanced methods must be proposed to improve the accuracy of user authority in such systems. In this study, we introduce a combined approach involving the historical and physical user contexts to gain the contextual information for the file system. We proposed a role-based access control (RBAC) based on context awareness model, which is an extension of the traditional RBAC model, to implement context awareness in the users’ permission for the file system. Using the context constraints, the file system can control the access of the user to protect the file system from damages caused by hackers. Results showed that the proposed method is more accurate than traditional ones because it can control the user access through context awareness.

Raouf M. Ganda

Papers

Two Factor Authentication using Twofish Encryption and Visual Cryptography Algorithms for Secure Data Communication

Successes and Failures in Exploring Biometric Algorithms in NIST Open Source Software and Data.

Burglary Detection Framework for House Crime Control

Efficient Context-aware File System Approach.