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

Protecting the infrastructure: 3rd Australian information warfare & security conference 2002

The conference is hosted by the We-B Centre (working with a-business) in the School of Management Information System, the School of Computer & Information Sciences at Edith Cowan University. This year\u27s conference is being held at the Sheraton Perth Hotel in Adelaide Terrace, Perth. Papers for this conference have been written by a wide range of academics and industry specialists. We have attracted participation from both national and international authors and organisations. The papers cover many topics, all within the field of information warfare and its applications, now and into the future. The papers have been grouped into six streams: • Networks • IWAR Strategy • Security • Risk Management • Social/Education • Infrastructur

Exploiting radio interference for human sensing and communications

Wireless devices are now widely deployed in all indoor spaces including homes, offices, shopping malls, etc. In these spaces, we are ubiquitously enveloped by radio spectrum. The presence of various objects such as furniture, walls and human bodies influences the radio wave propagations in numerous ways owing to reflection and diffraction of the wireless signals. As a result, the signals from multiple propagation paths may overlap in constructive and destructive ways which results in radio interference. Interference is normally construed to be undesirable, since it adversely affects the signal quality at the receiver node. Thus various techniques have been proposed in literature to minimise the effects of interference. In this thesis, on the contrary, we show that radio interference can be used to our advantage in the context of two distinct application domains: (i) device-free human sensing and (ii) multi-hop communications. First, we show that WiFi signals can be used to uniquely identify people. There is strong evidence to suggest that all humans have unique gait patterns. While walking in vicinity of WiFi devices, an individual will interfere with the radio propagations and create unique perturbations in the WiFi spectrum. The unique features that are representative of the gait of the individual are extracted to identify the person. We conduct extensive experiments to demonstrate the proposed system can uniquely identify people with an average accuracy of 93% to 77% from a group comprised of 2 to 6 people. Second, we propose a system that is able to monitor breathing rate in a natural setting where the individual can perform actions such as reading, writing, using their phone, etc. We observe breathing and accompanying actions create both constructive and destructive interference. Certain specific subcarriers carry strong imprints of the subtle chest motions that occur during breathing because of the frequency and spacial diversity of MIMO technology that is employed in the state-of-the-art WiFi devices. Our proposed methods are used to identify those subcarriers and precisely isolate the breathing signals. We implement both previous works on commercial off-the-shelf WiFi devices and exploit Channel State Information (CSI) of WiFi signals to extract the patterns for human identification and breath rate monitoring in RF spectrum. Third, we propose a novel point-to-point communication protocol, which exploit the benefits of constructive interference in order to enhance communication reliability and reduce energy consumption. The proposed protocol attempts to discover the most reliable and energy efficient route between a source and a destination. To achieve this objective, the proposed algorithm identifies direct routes and selects helper nodes to ensure reliable communications while allowing all other devices in the network to power down. During data transmissions, the selected nodes can exploit the benefits of constructive interference to increase received signal strength and enhance reliability. Extensive experiments show the proposed method can save energy consumption by up to 82.5% compared to a state-of-the-art approach whilst achieving similar end-to-end transmission reliability

Participative Urban Health and Healthy Aging in the Age of AI

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2022, held in Paris, France, in June 2022. The 15 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 33 submissions. They cover topics such as design, development, deployment, and evaluation of AI for health, smart urban environments, assistive technologies, chronic disease management, and coaching and health telematics systems

Development of Criteria for Mobile Device Cybersecurity Threat Classification and Communication Standards (CTC&CS)

The increasing use of mobile devices and the unfettered access to cyberspace has introduced new threats to users. Mobile device users are continually being targeted for cybersecurity threats via vectors such as public information sharing on social media, user surveillance (geolocation, camera, etc.), phishing, malware, spyware, trojans, and keyloggers. Users are often uninformed about the cybersecurity threats posed by mobile devices. Users are held responsible for the security of their device that includes taking precautions against cybersecurity threats. In recent years, financial institutions are passing the costs associated with fraud to the users because of the lack of security. The purpose of this study was to design, develop, and empirically test new criteria for a Cybersecurity Threats Classification and Communication Standard (CTC&CS) for mobile devices. The conceptual foundation is based on the philosophy behind the United States Occupational Safety and Health Administration (OSHA)’s Hazard Communication Standard (HCS) of Labels and Pictograms that is mainly focused on chemical substances. This study extended the HCS framework as a model to support new criteria for cybersecurity classification and communication standards. This study involved three phases. The first phase conducted two rounds of the Delphi technique and collected quantitative data from 26 Subject Matter Experts (SMEs) in round one and 22 SMEs in round two through an anonymous online survey. Results of Phase 1 emerged with six threats categories and 62 cybersecurity threats. Phase 2 operationalized the elicited and validated criteria into pictograms, labels, and safety data sheets. Using the results of phase one as a foundation, two to three pictograms, labels, and safety data sheets (SDSs) from each of the categories identified in phase one were developed, and quantitative data were collected in two rounds of the Delphi technique from 24 and 19 SMEs respectively through an online survey and analyzed. Phase 3, the main data collection phase, empirically evaluated the developed and validated pictograms, labels, and safety data sheets for their perceived effectiveness as well as performed an analysis of covariance (ANCOVA) with 208 non-IT professional mobile device users. The results of this study showed that pictograms were highly effective; this means the participants were satisfied with the characteristics of the pictograms such as color, shapes, visual complexity, and found these characteristics valuable. On the other hand, labels and Safety Data Sheets (SDS) did not show to be effective, meaning the participants were not satisfied or lacked to identify importance with the characteristics of labels and SDS. Furthermore, the ANCOVA results showed significant differences in perceived effectiveness with SDSs with education and a marginal significance level with labels when controlled for the number of years of mobile device use. Based on the results, future research implications can observe discrepancies of pictogram effectiveness between different educational levels and reading levels. Also, research should focus on identifying the most effective designs for pictograms within the cybersecurity context. Finally, longitudinal studies should be performed to understand the aspects that affect the effectiveness of pictograms

2. Uluslararası Yapay Zeka ve Veri Bilimi Kongresi Bildiriler Kitabı

Çevrimiçi (127 sayfa : şekil, tablo ; 26 cm.)

A Survey of the European Security Market

This document synthesizes the results of the research made on the European security market. It deals with questions of interest regarding the provision of security goods and services for protecting society from terrorism and organised crime. It explores issues such as market revenues, demand and supply, industrial capabilities, technology, research and development, innovation, business strategies, competition as well as market structure, agents' conduct and economic performance. The research has been based upon desk analysis of open source information related to the security market. Economic theory and critical analysis has been applied to understand the gathered information, derive knowledge, point out key issues and assess trends and drivers that will likely shape the sector's future. The study is the outcome of the working package number 5 included in the research project A new Agenda for European Security Economics (EUSECON). This project with code number 218195 has been financed by the European Commission within the 7th European Research Framework Programme. The task has been performed by the company ISDEFE according to the scope and work plan described in the EUSECON proposal. The author wishes to express his appreciation to all the individuals that have provided input and valuable comments to this study, including anonymous referees. Any flaws or omissions contained in this document are solely the responsibility of the author.

Machine learning and blockchain technologies for cybersecurity in connected vehicles

Future connected and autonomous vehicles (CAVs) must be secured againstcyberattacks for their everyday functions on the road so that safety of passengersand vehicles can be ensured. This article presents a holistic review of cybersecurityattacks on sensors and threats regardingmulti-modal sensor fusion. A compre-hensive review of cyberattacks on intra-vehicle and inter-vehicle communicationsis presented afterward. Besides the analysis of conventional cybersecurity threatsand countermeasures for CAV systems,a detailed review of modern machinelearning, federated learning, and blockchain approach is also conducted to safe-guard CAVs. Machine learning and data mining-aided intrusion detection systemsand other countermeasures dealing with these challenges are elaborated at theend of the related section. In the last section, research challenges and future direc-tions are identified

Emerging Technologies

This monograph investigates a multitude of emerging technologies including 3D printing, 5G, blockchain, and many more to assess their potential for use to further humanity’s shared goal of sustainable development. Through case studies detailing how these technologies are already being used at companies worldwide, author Sinan Küfeoğlu explores how emerging technologies can be used to enhance progress toward each of the seventeen United Nations Sustainable Development Goals and to guarantee economic growth even in the face of challenges such as climate change. To assemble this book, the author explored the business models of 650 companies in order to demonstrate how innovations can be converted into value to support sustainable development. To ensure practical application, only technologies currently on the market and in use actual companies were investigated. This volume will be of great use to academics, policymakers, innovators at the forefront of green business, and anyone else who is interested in novel and innovative business models and how they could help to achieve the Sustainable Development Goals. This is an open access book