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26th ACM Conference on computer-Supported Cooperative Work and Social Computing, CSCW 2023

作者： Hansson, Karin Bardzell, Shaowen Bhandari, Aparajita Boulicault, Marion Doyle, Dylan Thomas Erete, Sheena Cerratto Pargman, Teresa Lazem, Shaimaa Muller, Michael Normark, Maria Petterson, Adrian Rosén, Anton Poikolainen Taylor, Alex S. Thomas, Jakita O. Watson, Julia Södertörn University The School of Natural Sciences Technology and Environmental Studies Sweden Georgia Institute of Technology The School of Interactive Computing United States Cornell University Department of Communication United States University of Edinburgh Department of Philosophy United States University of Colorado Boulder Department of Information Science United States University of Maryland College of Information United States Stockholm University The Department of Computer and Systems Sciences Sweden City for Scientific Research and Technological Applications The Informatics Research Institute Egypt Ibm Research Human Centered Ai United States Uppsala University Department of Informatics and Media Sweden University of Toronto Faculty of Information Canada Aalto University The School of Arts Design and Architecture Finland City University of London The Centre for Human Computer Interaction Design United Kingdom Auburn University Department of Computer Science and Software Engineering United States University of Toronto Department of Computer Science Canada

ISBN: (纸本)9798400701290

This one-day hybrid workshop builds on previous feminist CSCW workshops to explore feminist theoretical and methodological approaches that have provided us with useful tools to see things differently and make space for change. Since its inception over a decade ago, feminist HCI has progressed from the margins to mainstream HCI, with numerous references in the literature. Feminist HCI has also evolved to incorporate other critical HCI practices such as Queer HCI, participatory design, and speculative design. While feminist approaches have grown in popularity and become mainstream, it is getting more difficult to distinguish the feminist emancipatory core from other attempts of developing and improving society in various ways. In this workshop, we therefore want to revisit our feminist roots, where theory is a liberatory and creative practice, motivated by affect, curiosity, and wonder. From this standpoint, we consider which of our feminist tools can make a significant difference today, in a highly datafied world. The goal of this workshop is to;1) create an inventory of feminist theories and concepts that have had an impact on our work as designers, educators, researchers, and activists;2) develop a feminist toolbox for the CSCW community to strengthen our feminist literacy. © 2023 Owner/Author.

关键词： Computation theory

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Enhancing Energy Sector Resilience: Integrating Security by Design Principles

arXiv

引用

arXiv 2024年

作者： Shirtz, Dov Koberman, Inna Elyashar, Aviad Puzis, Rami Elovici, Yuval Cyber@BGU Cyber Labs Ben-Gurion University Israel Department of Software and Information Systems Engineering Ben-Gurion University Israel Department of Computer Science Shamoon College of Engineering Beer-Sheva Israel

Security by design (SbD) is a concept for developing and maintaining systems that are, to the greatest extent possible, free from security vulnerabilities and impervious to security attacks. In addition to technical aspects, such as how to develop a robust Industrial control system (ICS), hardware (HW), software (SW), firmware, communication product, etc., SbD also includes soft aspects, such as organizational management's attitude and behavior, and employee awareness. Under the SbD concept, systems, i.e., in our context ICS, will be considered more trustworthy by users;users' trust in the systems will be derived from meticulous adherence to SbD processes and policies. In accordance with the SbD concept, security is considered. Security measures are implemented, at every stage of the product and system development lifecycle, rather than afterward, which is beneficial, enabling the identification of vulnerabilities early in the development process;when vulnerabilities are identified at an early stage, the ability to address them is improved, and the cost of resolving them is reduced, saving time, money, and effort. As mentioned above, the SbD approach focuses on making systems as secure and immune to attack as possible through the use of measures such as continuous testing, authentication, safeguards, and adherence to best programming practices. As such, SbD enables an organization to formalize the design of its infrastructure and applications and build and integrate security into its IT and OT processes. This document presents the security requirements for the implementation of SbD in industrial control systems. The information presented does not negate any existing security and cyber security standards, quality assurance standards, best practices, or management methods such as COBIT. Instead, we strongly recommend that organizations should implement and comply with those standards and best practices. Security by design is not a one-time process. It starts at the ve

关键词： Cybersecurity

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Exploring the Frontiers of Firmware Fuzzing: μAFL’s Application on Cortex M4 and Unix programs

Exploring the Frontiers of Firmware Fuzzing: μAFL’s Applic...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Safayat Bin Hakim Muhammad Adil Jordi Mongay Batalla Constandinos X. Mavromoustakis Houbing Herbert Song Department of Information Systems University of Maryland Baltimore County Baltimore MD USA Computer Science and Engineering The State University of New York at Buffalo Buffalo NY USA Institute of Telecommunications Electronics and Information Technology Warsaw University of Technology Warsaw Poland Department of Computer Science School of Sciences and Engineering University of Nicosia Nicosia Cyprus

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

The aim of this study is to investigate into $\mu \mathrm{AFL}$, a non-intrusive, feedback-driven fuzzing framework, evaluated on Cortex M4 embedded systems and Unix platforms, focusing on the STM32F407VE Cortex M4 microcontroller. By leveraging the SEGGER J-Trace Pro for trace collection, it demonstrates $\mu$AFL’s utility beyond its traditional scope, showcasing its efficacy in both embedded and general-purpose computing environments. Our analysis, enriched by juxtaposing $\mu$AFL’s capabilities with traditional AFL, emphasizes the adaptability and effectiveness of fuzzing methodologies in firmware security enhancement. Furthermore, the study provides a deep understanding of fuzzing execution on different hardware, presenting an execution strategy for the STM32F407VE that highlights the framework’s potential in identifying vulnerabilities, evidenced by tests on specific firmware programs such as an LED blinking program integrated with semihosting breakpoints and ETM tracing. The use of uninitialized memory sections and strategically placed break-points offers significant insights into the firmware’s execution flow. The results of our comparative analysis clearly show that $\mu \mathrm{AFL}$ excels at uncovering vulnerabilities, reinforcing the need for evolving fuzzing methodologies to build stronger security systems for embedded devices. This contribution underscores the importance of refining fuzzing techniques to meet the intricate security demands of contemporary computing environments.

关键词： Wireless communication Macrocell networks Embedded systems Microcontrollers Refining Fuzzing Hardware

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Leader Rotation Is Not Enough: Scrutinizing Leadership Democracy of Chained BFT Consensus

arXiv

引用

arXiv 2025年

作者： Tang, Yining Han, Runchao Niu, Jianyu Feng, Chen Zhang, Yinqian The Research Institute of Trustworthy Autonomous Systems The Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Babylon Labs Blockchain@UBC The School of Engineering The University of British Columbia Okanagan Campus KelownaBC Canada

With the growing popularity of blockchains, modern chained BFT protocols combining chaining and leader rotation to obtain better efficiency and leadership democracy have received increasing interest. Although the efficiency provisions of chained BFT protocols have been thoroughly analyzed, the leadership democracy has received little attention in prior work. In this paper, we scrutinize the leadership democracy of four representative chained BFT protocols, especially under attack. To this end, we propose a unified framework with two evaluation metrics, i.e., chain quality and censorship resilience, and quantitatively analyze chosen protocols through the Markov Decision Process (MDP). With this framework, we further examine the impact of two key components, i.e., voting pattern and leader rotation on leadership democracy. Our results indicate that leader rotation is not enough to provide the leadership democracy guarantee;an adversary could utilize the design, e.g., voting pattern, to deteriorate the leadership democracy significantly. Based on the analysis results, we propose customized countermeasures for three evaluated protocols to improve their leadership democracy with only slight protocol overhead and no change of consensus rules. We also discuss future directions toward building more democratic chained BFT protocols. Copyright © 2025, The Authors. All rights reserved.

关键词： Efficiency

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Blockchain-Based Key Management Solution for Clustered Flying Ad-Hoc Network 5

Blockchain-Based Key Management Solution for Clustered Flyin...

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5th International Conference on Blockchain Computing and Applications, BCCA 2023

作者： Abdelhafidh, Maroua Zaghdoud, Nesrine Charef, Nadia Ben Mnaouer, Adel SM-RTS Digital Research Center of Sfax Tunisia Canadian University Dubai Dubai United Arab Emirates Tunisia Canadian University Dubai Sup'Com Dubai United Arab Emirates Lorraine University France Canadian University Dubai Department of Computer Engineering and Computational Science Dubai United Arab Emirates College of Computer and Information Systems Prince Sultan University Saudi Arabia

ISBN: (纸本)9798350339239

The Flying ad hoc networks (FANETs) have been recognized as one of the most emergent technologies for ensuring the performance and safety of different systems. However, its security presents a major concern inviting researchers to propose and implement new efficient solutions. In this context, due to the dynamic behavior of FANETs, the Key Management (KM)-based solution is increasingly explored as a security issue. In this paper, we investigate a Blockchain-based Key Management solution for Clustered FANETs (BKM-CF) to effectively perform cluster key dissemination, allow UAVs to update their public/private keys, migrate between clusters, and revoke malicious UAVs. Through security analysis and performance evaluation, our solution can resist against various attacks and provide reduced network energy consumption. © 2023 IEEE.

关键词： Ad hoc networks

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The Impact of Social Media in Marketing on Brand Awareness and Customer Trust in Increasing Purchase Intention

The Impact of Social Media in Marketing on Brand Awareness a...

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Information Technology Research and Innovation (ICITRI), International Conference on

作者： Erick Fernando Yulius Denny Prabowo Winanti Department of Information Systems Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Computer Science Department Binus Online Learning Bina Nusantara University Jakarta Indonesia Department of Information Systems Universitas Insan Pembangunan Indonesia

ISBN: (数字)9798350376210

ISBN: (纸本)9798350376227

In the current digital era, marketing has developed using technology through media to reach consumers. One prominent feature is influencer marketing, where individuals with significant social media influence promote products or services to their audiences. This strategy has become dominant because of its potential to expand brand reach and boost sales. However, there are challenges in ensuring the effectiveness of influencer marketing, particularly in delivering content with sufficient information and entertainment value. Overcoming these challenges is critical to maximizing customer purchase intent. This research explores the influence of information value, entertainment value, brand awareness, and customer trust on customer purchase intentions in influencer marketing. This research used an online survey (google form) with 398 valid respondents used for analysis PLS-SEM with SMART PLS 3.0. The indicator test results are valid and reliable with loading value for each item with a value >0.5, AVE value $\geqslant 0.50$, Cronbach’s alpha value $\geqslant 0.70$ and Composite Reliability (CR) value $\geqslant 0.7$. The findings show that these factors have a significant effect on purchase intention. In emphasizing the importance of influencers delivering educational and entertaining content to increase Brand Awareness in building customer trust, with the consistency of influencers. Overall, providing valuable insights for companies looking to optimize their influencer marketing strategy to increase brand awareness and customer trust, ultimately driving customer purchase intent.

关键词： Surveys Technological innovation Social networking (online) Buildings Entertainment industry Psychology Companies Data models Reliability Testing

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Experiments and modeling on thermal performance evaluation of standalone and M-cycle based desiccant air-conditioning systems

引用

Energy Reports 2024年 11卷 1445-1454页

作者： Bhat, Showkat Ahmad Sajjad, Uzair Hussain, Imtiyaz Yan, Wei-Mon Raza, Hafiz M.U. Ali, Hafiz Muhammad Sultan, Muhammad Omar, Hani Azam, Muhammad Waheed Bozzoli, Fabio Huang, Nen-Fu Center of Innovative Incubator National Tsing Hua University Hsinchu300044 Taiwan Department of Computer Science National Tsing Hua University Hsinchu300044 Taiwan Department of Energy and Refrigerating Air-Conditioning Engineering National Taipei University of Technology Taipei10608 Taiwan Research Center of Energy Conservation for New Generation of Residential Commercial and Industrial Sectors National Taipei University of Technology Taipei10608 Taiwan Department of Agricultural Engineering Bahauddin Zakariya University Bosan Road Multan60800 Pakistan Dhahran31261 Saudi Arabia Faculty of Information Technology Zarqa University Zarqa Jordan Department of Architecture and Engineering University of Parma Parco Area delle Science 181/A Parma43124 Italy IRC-Renewable Energy and Power Systems King Fahd University of Petroleum and Minerals Dammam Dhahran Saudi Arabia

This study aims to evaluate the performance of standalone and Maisotsenko-cycle based desiccant air-conditioning systems with silica gel through experimental and explainable artificial intelligence methods. In order to examine the desiccant systems' performance, deep neural networks have been constructed based on the optimal hyper-parameters provided by the Bayesian surrogacy. The influential factors, such as regeneration air temperature and relative humidity, primary air temperature and relative humidity, among other system features like regeneration temperature and humidity, are chosen as the inputs using feature engineering and correlation heat maps. The results indicated that with the right framework and training data, the proposed model can forecast the performance of the standalone and M-cycle-based desiccant air conditioning systems with a great accuracy (i.e. R2 = 0.99). In addition, regeneration temperature and humidity, and inlet regeneration air temperature are considered to be the primary parameters that affect the thermal performance of Maisotsenko-cycle and stand-alone desiccant systems. The regeneration conditions are shown to have a positive correlation with the primary and regeneration outlet temperatures while having a negative correlation with the primary and regeneration outlet relative humidity. The primary inlet relative humidity has the greatest impact on the primary outlet relative humidity while the regeneration inlet temperature has the highest impact on the regeneration outlet relative humidity of the system. In addition, the primary inlet relative humidity is found to have positive correlations with the outlet regeneration and primary relative humidity and outlet regeneration temperature. Also, the primary air inlet temperature is found to be directly associated with the outlet primary relative humidity and temperature for the considered systems. © 2024 The Authors

关键词： Air conditioning

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A Comparison of Different Optimization Techniques in AlexNet for Plant Disease Classification: SGD, Adadelta, ASGD and Adagrad

A Comparison of Different Optimization Techniques in AlexNet...

引用

Smart Electronics and Communication (ICOSEC), International Conference on

作者： Ponnila P Bazila Banu A Professor Department of Information Technology Bannari Amman Institute of Technology Sathyamangalam Erode Tamilnadu India Department of Computer Science and Business Systems KPR Institute of Engineering and Technology Coimbatore Tamilnadu India

ISBN: (数字)9798331504403

ISBN: (纸本)9798331504410

Plant diseases are a biggest challenge for the farmers. Agriculture relies heavily on its production, and diagnosis of plant disease in an accurate manner will help in identification of the appropriate disease. If correct identification was not performed, there might be a significant financial loss that could have an impact on both farmers and the national economy. For resolving this issue, the AlexNet was employed, a convolutional neural network method. In this research, AlexNet is used to classify the diseases occurring in chilli, cauliflower and sunflower. This AlexNet model, with Stochastic Gradient Descent(SGD) algorithm optimization techniques had achieved 82% accuracy for the overall classification of the test images of chilli plant, 98% accuracy for the overall classification of the test images of cauliflower plant and 91% accuracy for the overall classification of the test images of sunflower plant; with Adadelta optimization 86%, 99% and 93% accuracy was achieved for the overall classification of the test pictures of chilli plant, cauliflower plant and sunflower plant respectively. After using the Asynchronous Stochastic Gradient(ASGD) optimization with AlexNet model, the accuracy obtained are 88% for the test images of chilli plant, 98% for the test images of cauliflower plant and 91% for the test images of sunflower plant; and finally, AdaGrad optimization with AlexNet achieved accuracy of 80% for the test images of chilli plant, 9 8% for the test images of cauliflower plant and 93% for the test images of sunflower plant.

关键词： Training Plant diseases Visualization Accuracy Image resolution Stochastic processes Production Feature extraction Robustness Optimization

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Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach

arXiv

引用

arXiv 2024年

作者： Hakim, Safayat Bin Adil, Muhammad Acharya, Kamal Song, Houbing Herbert Department of Information Systems University of Maryland Baltimore County BaltimoreMD21250 United States Department of Computer Science and Engineering University at Buffalo BuffaloNY14260 United States

The escalating sophistication of Android malware poses significant challenges to traditional detection methods, necessitating innovative approaches that can efficiently identify and classify threats with high precision. This paper introduces a novel framework that synergistically integrates an attention-enhanced Multi-Layer Perceptron (MLP) with a Support Vector Machine (SVM) to make Android malware detection and classification more effective. By carefully analyzing a mere 47 features out of over 9,760 available in the comprehensive CCCS-CIC-AndMal-2020 dataset, our MLP-SVM model achieves an impressive accuracy over 99% in identifying malicious applications. The MLP, enhanced with an attention mechanism, focuses on the most discriminative features and further reduces the 47 features to only 14 components using Linear Discriminant Analysis (LDA). Despite this significant reduction in dimensionality, the SVM component, equipped with an RBF kernel, excels in mapping these components to a high-dimensional space, facilitating precise classification of malware into their respective families. Rigorous evaluations, encompassing accuracy, precision, recall, and F1-score metrics, confirm the superiority of our approach compared to existing state-of-the-art techniques. The proposed framework not only significantly reduces the computational complexity by leveraging a compact feature set but also exhibits resilience against the evolving Android malware landscape. © 2024, CC BY-NC-SA.

关键词： Android malware

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1-Bit Reconfigurable Transmitted/Reflected Array (TRA) for 5G/6G Wireless Communication

1-Bit Reconfigurable Transmitted/Reflected Array (TRA) for 5...

引用

European Conference on Antennas and Propagation, EuCAP

作者： Yujie Liu James R. Kelly Mark Holm Srikanth Gopal Sina Rezaei Aghdam Yuanwei Liu Electronic Engineering and Computer Science Queen Mary University of London London UK Radio Base-station Systems Department Huawei Technologies (Sweden) AB Gothenburg Sweden

This paper introduces a design for a 1-bit reconfigurable Transmitted/Reflected Array (TRA), capable of electronic beamforming in both transmission and reflection. The TRA is constructed using the Unit Cells (UCs) that respond differently to TE and TM incidences. By employing the PIN diodes, the UC achieves two phase states, 0° and 180°, for the transmission and reflection, respectively. Simulation results show that the proposed TRA has demonstrated independent control of the transmitted and reflected beams at the working frequency of 5.9 GHz. A peak gain of 18.1 dBi and a scanning range of 0° to 60° have been achieved in both transmission and reflection, making it suitable for applications in 5G/6G wireless communication systems.

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