Design and Evaluation of a Pressure Based Typing Biometric Authentication System

The design and preliminary evaluation of a pressure sensor-based typing biometrics authentication system (PBAS) is discussed in this paper. This involves the integration of pressure sensors, signal processing circuit, and data acquisition devices to generate waveforms, which when concatenated, produce a pattern for the typed password. The system generates two templates for typed passwords. First template is for the force applied on each password key pressed. The second template is for latency of the password keys. These templates are analyzed using two classifiers. Autoregressive (AR) classifier is used to authenticate the pressure template. Latency classifier is used to authenticate the latency template. Authentication is complete by matching the results of these classifiers concurrently. The proposed system has been implemented by constructing users’ database patterns which are later matched to the biometric patterns entered by each user, thereby enabling the systemto accept or reject the user. Experiments have been conducted to test the performance of the overall PBAS system and results obtained showed that this proposed system is reliable with many potential applications for computer security

Biometric Systems

Biometric authentication has been widely used for access control and security systems over the past few years. The purpose of this book is to provide the readers with life cycle of different biometric authentication systems from their design and development to qualification and final application. The major systems discussed in this book include fingerprint identification, face recognition, iris segmentation and classification, signature verification and other miscellaneous systems which describe management policies of biometrics, reliability measures, pressure based typing and signature verification, bio-chemical systems and behavioral characteristics. In summary, this book provides the students and the researchers with different approaches to develop biometric authentication systems and at the same time includes state-of-the-art approaches in their design and development. The approaches have been thoroughly tested on standard databases and in real world applications

PATTERN BASED USER AUTHENTICATION FOR SECURE CLOUD ACCESS AND STORAGE

Cloud system environment ensures that user can use highly extensive drivable services resource over the network as and when required. The main aim of the cloud services is the dealing out of users' information is carried out remotely. The user does not own or operate these remote machines. However users always worried about their confidential data, it might be compromised when they use this new environment. This limitation can turn into hindrance to the extensive use of cloud services resource. Paper presents to attend this problem, by using a new highly distributed information accountability cloud bundle. This cloud bundle lets user monitoring to the real usage of the user information inside cloud. This proposed cloud bundle has an object-and domain centered steps which we can use to club the logging method with users' information and policies. This proposed cloud bundle uses the jar programmable capabilities for creating active and roaming object. It also ensures that when anyone accesses the users' data, authentication and automated logging is carried out locally to the jars. In order to make the user's control strong, we can give distributed auditing methods. This proposed cloud bundle also ensures extensive experimental studies to demonstrate that the proposed steps are efficient and effective

Design and evaluation of a pressure-based typing biometric authentication system

The design and preliminary evaluation of a pressure sensor-based typing biometrics authentication system (PBAS) is discussed in this paper. This involves the integration of pressure sensors, signal processing circuit, and data acquisition devices to generate waveforms, which when concatenated, produce a pattern for the typed password. The system generates two templates for typed passwords. First template is for the force applied on each password key pressed. The second template is for latency of the password keys. These templates are analyzed using two classifiers. Autoregressive (AR) classifier is used to authenticate the pressure template. Latency classifier is used to authenticate the latency template. Authentication is complete by matching the results of these classifiers concurrently. The proposed system has been implemented by constructing users’ database patterns which are later matched to the biometric patterns entered by each user, thereby enabling the system to accept or reject the user. Experiments have been conducted to test the performance of the overall PBAS system and results obtained showed that this proposed system is reliable with many potential applications for computer security