10 research outputs found

    Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

    Get PDF
    In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-based security and privacy systems for several types of IoT applications, including, Industrial IoT, Edge Computing, Internet of Drones, Internet of Healthcare Things, Internet of Vehicles, etc. Second, the use of federated learning with blockchain and malware/intrusion detection systems for IoT applications is discussed. Then, we review the vulnerabilities in federated learning-based security and privacy systems. Finally, we provide an experimental analysis of federated deep learning with three deep learning approaches, namely, Recurrent Neural Network (RNN), Convolutional Neural Network (CNN), and Deep Neural Network (DNN). For each deep learning model, we study the performance of centralized and federated learning under three new real IoT traffic datasets, namely, the Bot-IoT dataset, the MQTTset dataset, and the TON_IoT dataset. The goal of this article is to provide important information on federated deep learning approaches with emerging technologies for cyber security. In addition, it demonstrates that federated deep learning approaches outperform the classic/centralized versions of machine learning (non-federated learning) in assuring the privacy of IoT device data and provide the higher accuracy in detecting attacks

    Measuring knowledge sharing processes through social network analysis within construction organisations

    Get PDF
    The construction industry is a knowledge intensive and information dependent industry. Organisations risk losing valuable knowledge, when the employees leave them. Therefore, construction organisations need to nurture opportunities to disseminate knowledge through strengthening knowledge-sharing networks. This study aimed at evaluating the formal and informal knowledge sharing methods in social networks within Australian construction organisations and identifying how knowledge sharing could be improved. Data were collected from two estimating teams in two case studies. The collected data through semi-structured interviews were analysed using UCINET, a Social Network Analysis (SNA) tool, and SNA measures. The findings revealed that one case study consisted of influencers, while the other demonstrated an optimal knowledge sharing structure in both formal and informal knowledge sharing methods. Social networks could vary based on the organisation as well as the individuals’ behaviour. Identifying networks with specific issues and taking steps to strengthen networks will enable to achieve optimum knowledge sharing processes. This research offers knowledge sharing good practices for construction organisations to optimise their knowledge sharing processes

    The 45th Australasian Universities Building Education Association Conference: Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment, Conference Proceedings, 23 - 25 November 2022, Western Sydney University, Kingswood Campus, Sydney, Australia

    Get PDF
    This is the proceedings of the 45th Australasian Universities Building Education Association (AUBEA) conference which will be hosted by Western Sydney University in November 2022. The conference is organised by the School of Engineering, Design, and Built Environment in collaboration with the Centre for Smart Modern Construction, Western Sydney University. This year’s conference theme is “Global Challenges in a Disrupted World: Smart, Sustainable and Resilient Approaches in the Built Environment”, and expects to publish over a hundred double-blind peer review papers under the proceedings

    Unmet goals of tracking: within-track heterogeneity of students' expectations for

    Get PDF
    Educational systems are often characterized by some form(s) of ability grouping, like tracking. Although substantial variation in the implementation of these practices exists, it is always the aim to improve teaching efficiency by creating homogeneous groups of students in terms of capabilities and performances as well as expected pathways. If students’ expected pathways (university, graduate school, or working) are in line with the goals of tracking, one might presume that these expectations are rather homogeneous within tracks and heterogeneous between tracks. In Flanders (the northern region of Belgium), the educational system consists of four tracks. Many students start out in the most prestigious, academic track. If they fail to gain the necessary credentials, they move to the less esteemed technical and vocational tracks. Therefore, the educational system has been called a 'cascade system'. We presume that this cascade system creates homogeneous expectations in the academic track, though heterogeneous expectations in the technical and vocational tracks. We use data from the International Study of City Youth (ISCY), gathered during the 2013-2014 school year from 2354 pupils of the tenth grade across 30 secondary schools in the city of Ghent, Flanders. Preliminary results suggest that the technical and vocational tracks show more heterogeneity in student’s expectations than the academic track. If tracking does not fulfill the desired goals in some tracks, tracking practices should be questioned as tracking occurs along social and ethnic lines, causing social inequality

    The end of stigma? Understanding the dynamics of legitimisation in the context of TV series consumption

    Get PDF
    This research contributes to prior work on stigmatisation by looking at stigmatisation and legitimisation as social processes in the context of TV series consumption. Using in-depth interviews, we show that the dynamics of legitimisation are complex and accompanied by the reproduction of existing stigmas and creation of new stigmas

    The Trouble with Knowing: Wikipedian consensus and the political design of encyclopedic media

    Get PDF
    Encyclopedias are interfaces between knowing and the unknown. They are devices that negotiate the middle ground between incompatible knowledge systems while also performing as dream machines that explore the political outlines of an enlightened society. Building upon the insights from critical feminist theory, media archaeology, and science and technology studies, the dissertation investigates how utopian and impossible desires of encyclopedic media have left a wake of unresolvable epistemological crises. In a 2011 survey of editors of the online encyclopedia Wikipedia, it was reported that 87 per cent of Wikipedians identified as men. This statistic flew in the face of Wikipedias utopian promise that it was an encyclopedia that anyone can edit. Despite the early optimism and efforts to reduce this disparity, Wikipedias parent organization acknowledged its inability to significantly make Wikipedia more equitable. This matter of concern raised two questions: What kinds of knowing subjects is Wikipedia designed to cultivate and what does this conflict over who is included and excluded within Wikipedia tell us about the utopian dreams that are woven into encyclopedic media? This dissertation argues that answering these troubling questions requires an examination of the details of the present, but also the impossible desires that Wikipedia inherited from its predecessors. The analysis of these issues begins with a genealogy of encyclopedias, encyclopedists, encyclopedic aesthetics, and encyclopedisms. It is followed by an archeology of the twentieth century deployment of consensus as an encyclopedic and political program. The third part examines how Wikipedia translated the imaginary ideal of consensus into a cultural technique. Finally, the dissertation mobilizes these analyses to contextualize how consensus was used to limit the dissenting activities of Wikipedia's Gender Gap Task Force. The dissertation demonstrates that the desire and design of encircling knowledge through consensus cultivated Wikipedias gender gap. In this context, if encyclopedic knowledge is to remain politically and culturally significant in the twenty-first century, it is necessary to tell a new story about encyclopedic media. It must be one where an attention to utopian imaginaries, practices, and techniques not only addresses how knowledge is communicated but also enables a sensitivity to the question of who can know

    Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Book

    Get PDF
    Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Boo
    corecore