Biometrics-as-a-Service: A Framework to Promote Innovative Biometric Recognition in the Cloud

Biometric recognition, or simply biometrics, is the use of biological attributes such as face, fingerprints or iris in order to recognize an individual in an automated manner. A key application of biometrics is authentication; i.e., using said biological attributes to provide access by verifying the claimed identity of an individual. This paper presents a framework for Biometrics-as-a-Service (BaaS) that performs biometric matching operations in the cloud, while relying on simple and ubiquitous consumer devices such as smartphones. Further, the framework promotes innovation by providing interfaces for a plurality of software developers to upload their matching algorithms to the cloud. When a biometric authentication request is submitted, the system uses a criteria to automatically select an appropriate matching algorithm. Every time a particular algorithm is selected, the corresponding developer is rendered a micropayment. This creates an innovative and competitive ecosystem that benefits both software developers and the consumers. As a case study, we have implemented the following: (a) an ocular recognition system using a mobile web interface providing user access to a biometric authentication service, and (b) a Linux-based virtual machine environment used by software developers for algorithm development and submission

Airport Passenger Processing Technology: A Biometric Airport Journey

A passengers’ traveling journey throughout the airport is anything but simple. A passenger goes through numerous hoops and hurdles before safely boarding the aircraft. Many airports today are implementing isolated solutions for passenger processing. Some of these technologies include automated self-service kiosks and bag tag, self-service bag drop-off, along with automated self-service gates for boarding and border control. These solutions can be integrated with biometric systems to enhance passenger handling. This thesis analyzes the current passenger processing technology implemented at airports around the world and their associated challenges that passengers face. A new passenger processing technology called a biometric single token identification (ID) is presented as a solution to help alleviate current issues. By using a medium-sized international airport as a case study, the results show that a single token ID is beneficial to the time it takes to process a passenger. Furthermore, it demonstrates that implementation of a single token ID with self-service technology can provide enhanced passenger travel experience, improving operational process efficiency, all while ensuring safety and security

Mobile payments: moving towards a wallet in the cloud?

This article deals with mobile payments in developed countries. Even though it only accounts for a relatively small share of the market (between 10% and 20%), mobile payment merits in-depth analysis in developed countries as there are many economic and technological issues that still need to be addressed.mobile payments, NFC

Strong authentication based on mobile application

The user authentication in online services has evolved over time from the old username and password-based approaches to current strong authentication methodologies. Especially, the smartphone app has become one of the most important forms to perform the authentication. This thesis describes various authentication methods used previously and discusses about possible factors that generated the demand for the current strong authentication approach. We present the concepts and architectures of mobile application based authentication systems. Furthermore, we take closer look into the security of the mobile application based authentication approach. Mobile apps have various attack vectors that need to be taken under consideration when designing an authentication system. Fortunately, various generic software protection mechanisms have been developed during the last decades. We discuss how these mechanisms can be utilized in mobile app environment and in the authentication context. The main idea of this thesis is to gather relevant information about the authentication history and to be able to build a view of strong authentication evolution. This history and the aspects of the evolution are used to state hypothesis about the future research and development. We predict that the authentication systems in the future may be based on a holistic view of the behavioral patterns and physical properties of the user. Machine learning may be used in the future to implement an autonomous authentication concept that enables users to be authenticated with minimal physical or cognitive effort

Recent Application in Biometrics

In the recent years, a number of recognition and authentication systems based on biometric measurements have been proposed. Algorithms and sensors have been developed to acquire and process many different biometric traits. Moreover, the biometric technology is being used in novel ways, with potential commercial and practical implications to our daily activities. The key objective of the book is to provide a collection of comprehensive references on some recent theoretical development as well as novel applications in biometrics. The topics covered in this book reflect well both aspects of development. They include biometric sample quality, privacy preserving and cancellable biometrics, contactless biometrics, novel and unconventional biometrics, and the technical challenges in implementing the technology in portable devices. The book consists of 15 chapters. It is divided into four sections, namely, biometric applications on mobile platforms, cancelable biometrics, biometric encryption, and other applications. The book was reviewed by editors Dr. Jucheng Yang and Dr. Norman Poh. We deeply appreciate the efforts of our guest editors: Dr. Girija Chetty, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park and Dr. Sook Yoon, as well as a number of anonymous reviewers

Authenticated Digital Avatars on Metaverse by Cyber Security Procedures

Metaverse is the  next generation Internet, aims to build a fully immersive, hyper spatiotemporal and self sustaining virtual shared space for humans to play, work, shop and socialize. In metaverse, users are  represented as digital avatars and using identity, user can shuttle across various virtual worlds (i.e., sub-metaverses) to experience a digital life, as well as make digital creations and economic interactions supported by physical infrastructures and the metaverse engine. Virtual reality headsets are the main devices used to access the Metaverse. Privacy and security concerns of the metaverse. The users need to verify their identity to log into the metaverse platforms, and the security of this phase becomes vital. In this paper, the user authentication methods such as Information-based authentication, biometric based authentication, and multi-model methods are reviewed and compared in terms of users security but in some cases these methods are failed to secure from cyber attacks. In this paper, we proposed,Token-based authentication method to enhance the security for the users to access and work on  the virtual environment

A Review of Voice-Base Person Identification: State-of-the-Art

Automated person identification and authentication systems are useful for national security, integrity of electoral processes, prevention of cybercrimes and many access control applications. This is a critical component of information and communication technology which is central to national development. The use of biometrics systems in identification is fast replacing traditional methods such as use of names, personal identification numbers codes, password, etc., since nature bestow individuals with distinct personal imprints and signatures. Different measures have been put in place for person identification, ranging from face, to fingerprint and so on. This paper highlights the key approaches and schemes developed in the last five decades for voice-based person identification systems. Voice-base recognition system has gained interest due to its non-intrusive technique of data acquisition and its increasing method of continually studying and adapting to the person’s changes. Information on the benefits and challenges of various biometric systems are also presented in this paper. The present and prominent voice-based recognition methods are discussed. It was observed that these systems application areas have covered intelligent monitoring, surveillance, population management, election forensics, immigration and border control