A traffic regulation method based on MRA signatures to reduce unwanted traffic from compromised end-user machines

Compromised end-user machines are an important source of the unwanted traffic that traverses the Internet. These machines have typically installed in them malicious software that misuses their network resources. Thereby, the packet streams that a compromised machine sends out consists of legitimate and unwanted packets. In this work, we present a traffic regulation method that limits the number of unwanted packets that such machines send to the Internet. The method operates on the time-series representation of a packet stream and it examines the "burstiness" instead of the rate of packets. The method filters out packets from this stream using signatures produced with wavelet-based multi-resolution analysis, along with a similarity measure. We evaluate the proposed method with real traffic traces (i.e., Domain Name System queries from legitimate end-users and e-mail worms) and compare it with a rate limiting method. We show that the method limits the amount of unwanted t raffic that a compromised end-user machine sends to the Internet while it has, compared to the rate limiting method, a lower number of legitimate packet drops

Investigation of the NFC technology for mobile payments and the development of a prototype payment application in the context of marginalized rural areas

Both communication, and the methods and tools of commerce have evolved over time through the invention of new technologies. The latest of these technologies are mobile devices and electronic commerce respectively. The combination of these two technologies has resulted in the creation of electronic commerce which also enables mobile payments. Mobile payments (mpayments) are enabled by many technologies with Near Field Communication (NFC) being the most recent one. NFC is a wireless technology that enables mobile devices in close proximity to exchange data. The mobile device has already been enthusiastically accepted by the customers and they carry it with them wherever they go and this makes it a good device for providing a payment method alternative. This research looks at contactless mobile payment as a payment method. Customers in marginalized rural areas lack a payment alternative to cash hence in this research we are investigating and proposing the use of a NFC enabled mobile payment application for Marginalized Rural Areas. This research extensively evaluates and assesses the potential of using NFC enabled m-payments in Marginalized Rural Areas in South Africa by carrying out an investigation of the technology and its acceptance by customers. The investigation of the technology included implementation of a prototype application which was used to introduce the technology to the consumers. The customer acceptance of the NFC enabled mobile payments was evaluated using the Technology Acceptance model (TAM). The model was modified to suit the context of this study by adding more constructs. This research concluded that Near Field Communication enabled m-payments have great potential to be used and accepted by people in the marginalized rural areas

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

ReSCon '12, Research Student Conference: Book of Abstracts

The fifth SED Research Student Conference (ReSCon2012) was hosted over three days, 18-20 June 2012, in the Hamilton Centre at Brunel University. The conference consisted of 130 oral and 70 poster presentations, based on the high quality and diverse research being conducted within the School of Engineering and Design by postgraduate research students. The conference is held annually, and ReSCon plays a key role in contributing to research and innovations within the School

Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-

Data protection and transborder data flows : implications for Nigeria's integration into the global network economy

One of the realities that developing countries like Nigeria have to face today is that national and international markets have become more and more interconnected through the global platform of telecommunications and the Internet. This global networked economy is creating a paradigm shift in the focus of development goals and strategies particularly for developing countries. Globalisation is driving the nations of the world more into political and economic integration. These integrations are enhanced by a globally interconnected network of economic and communication systems at the apex of which is the Internet. This network of networks thrives on and encourages the expansion of cross-border flows of ideas and information, goods and services, technology and capital. Being an active member of the global network economy is essential to Nigeria’s economic development. It must plug into the network or risk being shut out. The global market network operates by means of rules and standards that are largely set by the dominant players in the network. Data protection is a critical component of the regime of rules and standards that govern the global network economy; it is evolving into an international legal order that transcends geographical boundaries. The EU Directive on data protection is the de facto global standard for data protection; it threatens to exclude non-EU countries without an adequate level of privacy protection from the EU market. More than 50 countries have enacted data protection laws modelled on the EU standard. Access to the huge EU market is a major motivation for the current trend in global harmonisation of domestic data protection laws. This trend provides a compelling reason for examining the issues relating to data protection and trans-border data flows and their implications for Nigeria’s desire to integrate into the global network economy. There are two primary motivations for legislating restrictions on the flow of data across national boundaries. The first is the concern for the privacy of the citizens, and second, securing the economic well-being of a nation. It is important that Nigeria’s privacy protection keeps pace with international norms in the provision of adequate protection for information privacy order to prevent potential impediments to international trading opportunities.Public, Constitutional, and InternationalLL. D

Personality Identification from Social Media Using Deep Learning: A Review

Social media helps in sharing of ideas and information among people scattered around the world and thus helps in creating communities, groups, and virtual networks. Identification of personality is significant in many types of applications such as in detecting the mental state or character of a person, predicting job satisfaction, professional and personal relationship success, in recommendation systems. Personality is also an important factor to determine individual variation in thoughts, feelings, and conduct systems. According to the survey of Global social media research in 2018, approximately 3.196 billion social media users are in worldwide. The numbers are estimated to grow rapidly further with the use of mobile smart devices and advancement in technology. Support vector machine (SVM), Naive Bayes (NB), Multilayer perceptron neural network, and convolutional neural network (CNN) are some of the machine learning techniques used for personality identification in the literature review. This paper presents various studies conducted in identifying the personality of social media users with the help of machine learning approaches and the recent studies that targeted to predict the personality of online social media (OSM) users are reviewed

Making sense of waste: understanding the (in)visibilities of waste in Sydney through labour and infrastructure

This thesis considers how waste works in Sydney, with an emphasis on the infrastructure, labour and materials of the city’s waste system. This work is grounded in feminist literature, specifically in the fields of human geography, discard studies, and science and technology studies. Having undertaking fieldwork within Sydney’s waste infrastructure, as well as historical and present-day document and policy analysis, this PhD research makes sense of waste through situatedness, standardisation and scale. Waste is theorised in two fundamentally different ways within this thesis. Firstly, waste is understood as co-produced through and by its relationships to the city. This first framing of waste relates to land, place, embodied memory, and the forms of waste that exceeds use (the discards of excess and leakage). The second way in which waste is theorised is through a logic of management, in which an emphasis is placed on how understandings of waste shape the very materiality of waste. I argue throughout this thesis that both ways of understanding waste are fundamental – the first, because waste co-produces and affects the spaces in which it is sunk or leached; and the second, because the management of waste is shaped by the ways in which waste is understood. This thesis explores how these perspectives might be brought together, in ways that enable a layered re-thinking of the city