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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： He, Jiguang Vanwynsberghe, Charles Chen, Hui Huang, Chongwen Fakhreddine, Aymen Great Bay University School of Computing and Information Technology Dongguan China Technology Innovation Institute Abu Dhabi9639 United Arab Emirates Chalmers University of Technology Department of Electrical Engineering Gothenburg Sweden Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Klagenfurt Institute of Networked and Embedded Systems Klagenfurt Austria

ISBN: (纸本)9798350351255

In this paper, we investigate the potential of reconfigurable intelligent surfaces (RISs) in facilitating passive/device-free three-dimensional (3D) drone localization within existing cellular infrastructure operating at millimeter-wave (mmWave) frequencies and employing multiple antennas at the transceivers. The developed localization system operates in the bi-static mode without requiring direct communication between the drone and the base station. We analyze the theoretical performance limits via Fisher information analysis and Cramér Rao lower bounds (CRLBs). Furthermore, we develop a low-complexity yet effective drone localization algorithm based on coordinate gradient descent and examine the impact of factors such as radar cross section (RCS) of the drone and training overhead on system performance. It is demonstrated that integrating RIS yields significant benefits over its RIS-free counterpart, as evidenced by both theoretical analyses and numerical simulations. © 2024 IEEE.

关键词： Cramer-Rao bounds

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Et Tu certifications: robustness certificates yield better adversarial examples 24

Et Tu certifications: robustness certificates yield better a...

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Proceedings of the 41st International Conference on Machine Learning

作者： Andrew C. Cullen Shijie Liu Paul Montague Sarah M. Erfani Benjamin I.P. Rubinstein School of Computing and Information Systems University of Melbourne Parkville Australia Defence Science and Technology Group Adelaide Australia

In guaranteeing the absence of adversarial examples in an instance's neighbourhood, certification mechanisms play an important role in demonstrating neural net robustness. In this paper, we ask if these certifications can compromise the very models they help to protect? Our new Certification Aware Attack exploits certifications to produce computationally efficient norm-minimising adversarial examples 74% more often than comparable attacks, while reducing the median perturbation norm by more than 10%. While these attacks can be used to assess the tightness of certification bounds, they also highlight that releasing certifications can paradoxically reduce security.

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Polymorphic Security Enhancements for Corporate Environments Utilizing Behavior Analytics

Polymorphic Security Enhancements for Corporate Environments...

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International Conference on Computer and Applications (ICCA)

作者： Wijesinghe W.M.A. J Abeysinghe Y.P. P Rukshana M.A. F Adhikari A.M.P. S Kavinga Yapa Abeywardhana Deemantha Siriwardhana Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

Employers should recognize that employees are the most vulnerable aspect of business environments since these cyber hazards are growing because of user neglect, lack of fundamental security discipline, and a fast-changing threat context. The theoretical approach proposed in the study bridges the difference by carefully following and handling the staff's internet presence. Overall, the study describes a comprehensive solution to govern the security of employees' internet presence by utilizing Artificial Neural Networks (ANN) for advanced intrusion detection, Natural Language Processing (NLP) for implementation and enforcement of browser-based security policies, visual and text data recognition to identify phishing attempts, and lastly analyzing and profiling users based on their online presence via a mathematical model. As a result, this study provides a comprehensive solution for mitigating risks related to human factors in corporate environments.

关键词： Visualization Text recognition Computer hacking Phishing Intrusion detection Artificial neural networks Human factors Natural language processing Mathematical models Hazards

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Research on Edge computing Offloading Based on Reinforcement Learning in Multi-user Scenarios 6th

Research on Edge Computing Offloading Based on Reinforcement...

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6th International Conference on Smart Grid and Internet of Things, SGIoT 2022

作者： Yu, Zi-Hang Zeng, Jian-Jun Liu, Sai Zhang, Zhen-Jiang Department of Electronic and Information Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China College of Intelligence and Computing Beijing InchTek Technology Tianjin University Beijing100044 China

ISBN: (纸本)9783031312748

Under the blessing of the new generation of information technology represented by 5G, a large number of new models and new businesses represented by smart logistics, industrial Internet, and smart transportation have emerged one after another, and the door to the intelligent interconnection of all things has officially opened. However, due to IoT sensor devices are usually responsible for data acquisition and transmission, they have certain limitations in terms of computing and storage capabilities. How to expand the performance of devices located at the edge of the network has become a focus of attention. Aiming at the problems of high energy consumption, prolonged time and high task failure rate in traditional IoT edge computing methods, this paper introduces deep reinforcement learning technology to optimize IoT edge computing offload methods. This paper models a single edge server multi-user scenario, and designs a function that comprehensively considers task delay and task failure rate as the goal of further optimization. At the same time, aiming at the problem of state space dimension explosion in traditional reinforcement learning, a computing task offloading method based on deep Q network is further proposed. Through simulation experiments, the results show that the proposed method has certain advantages in time delay and task success rate under the condition of different number of IoT devices. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Edge computing

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Enhancing Medical Anatomy Education through Virtual Reality (VR): Design, Development, and Evaluation

arXiv

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arXiv 2024年

作者： Than, Myint Zu Yap, Kian Meng Department of Computing and Information Systems School of Engineering and Technology Sunway University Malaysia School of Engineering and Technology Sunway University Malaysia

Modern medicine demands innovations in medical education, particularly in the learning of human anatomy, traditionally taught through textbooks, dissections, and lectures. Virtual Reality (VR) has emerged as a promising tool to address the limitations of these conventional methods by emphasising vision-based and active learning. However, current VR educational tools are often inaccessible due to high costs and specialised equipment requirements. This paper details the design and development of an accessible, desktop-based VR system aimed at enhancing anatomy education by leveraging the user’s visual perception to promote a meaningful and interactive learning experience. The Virtual Anatomy Lab was designed to enable students to interact with a 3D Skull model to complete tasks virtually via an interactive user interface (UI) with the help of common devices like a mouse and keyboard. As part of the study, a group of medical students from prestigious medical schools throughout Malaysia were invited to evaluate the built system to offer feedback and determine its overall efficiency and usability in fulfilling their learning goals. The results and findings from user evaluations were then analysed to discuss its effectiveness and areas for future improvement. © 2024, CC BY.

关键词： Virtual environments

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Enhancing Agricultural Efficiency with IoT-Enabled Precision Irrigation Management Using LoRaWAN technology

Enhancing Agricultural Efficiency with IoT-Enabled Precision...

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International Conference on Computational Intelligence and Communication Networks (CICN)

作者： J.A.S.K. Jayasinghe T.M.H.L. Thennakoon U.G.C. Ruchira N.G.C.L. Wimalasena J.A.D.C.A. Jayakody Dinithi Pandithage Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331505264

ISBN: (纸本)9798331505271

The Internet of Things-empowered precision irrigation management system with LoRaWAN technology is presented given the growing food requirements across the world and pressing calls for judicious use of water in agriculture. Flow Pilot, specifically designed for chili farms, optimizes water application while enhancing crop health using precise and automated irrigation. The Flow Pilot features advanced sensors such as soil moisture, temperature, humidity, and rain sensors that collect real-time environmental data transmitted over a LoRaWAN network for analysis. Flow Pilot uses the Machine learning algorithm by analyzing sensor data to make localized irrigation recommendations based on crop needs, environmental factors, and weather forecasting. LoRaWAN gateways will support this for long-ranged communications over power-consuming agricultural fields. Besides this, it can use different network architectures. There is also an automated water tank management module that regulates the supply of water and pH levels to have optimal conditions for crop growth. A visually simple dashboard interface enables farmers to inspect and operate irrigation processes remotely, hence rendering the whole process far more efficient. Finally, over the extensive period of field tests executed by the project, Flow Pilot was able to save water, improve crop yields, and help support sustainable agriculture. For example, this testing supports the potential of IoT with LoRaWAN technologies, such as the Flow Pilot implementation, for a game change in conventional irrigation practices into a modern, scalable, and reliable solution.

关键词： Temperature sensors Water Irrigation Storage management LoRaWAN Machine learning Nutrients Real-time systems Sensor systems Crop yield

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Exploring Gamification Risks and Implications in Agile software Development Enterprises: An Empirical Study 24

Exploring Gamification Risks and Implications in Agile Softw...

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Proceedings of the 2024 13th International Conference on software and information Engineering

作者： Fayrouz M. Elsalmy Nada H. Sherief Walid R. Abdelmoez Information Systems Departement College of Computing and Information Technology Arab Academy for Science Technology and Maritime Transport (AASTMT) Alexandria Egypt Softawre Engineering Department College of Computing and Information Technology Arab Academy for Science Technology and Maritime Transport (AASTMT) Alexandria Egypt

ISBN: (纸本)9798400717765

This research highlights a gap in applying gamification to agile software development enterprises. While gamification risks and negative side effects have been addressed in principle, limited research explored their impact on software development, specifically agile gamification. The paper aims to: 1) identify gamification risks and risk factors for software development enterprises 2) provide a gamification risk taxonomy 3) design context-inclusive risk profiles to identify the cause-effect of the potential risks for the agile roles, and 4) present the impact of gamification on agile software development roles and tasks. The research employs qualitative methods to uncover risk factors and identify gamification risks from software engineers and scrum teams, providing insights from experts to confirm and refine gamification risks within the agile software development context. We aim to help project managers and scrum masters with task assignments and improve the employee's well-being and team performance during the gamified agile software development process.

关键词： Agile software development

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Assessing Quality of Service Performance in SDN Controllers: POX vs. OpenDaylight

Assessing Quality of Service Performance in SDN Controllers:...

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Advancements in computing (ICAC), International Conference on

作者： Shashika Lokuliyana Pipuni Wijesiri Anuradha Jayakody Pradeep K.W. Abeygunawardhana Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331517878

ISBN: (纸本)9798331517885

This research offers a comparative analysis of Qual-ity of Service (QoS) within software Defined Networks (SDN) by assessing the POX and OpenDaylight controllers across various network topologies. The results show that OpenDaylight has a 32.59% higher average throughput than POX, demonstrating its superior data handling capabilities. Conversely, POX exhibits a 54.53% lower average delay and an 85.05% higher average jitter compared to OpenDaylight, highlighting its effectiveness in maintaining lower latency and variability in packet transmission times. These contrasting performances provide essential insights for network engineers in selecting the optimal SDN controller based on specific network demands, significantly influencing the overall network efficiency and stability.

关键词： Systematics Network topology Quality of service Jitter Throughput Real-time systems Stability analysis Delays software defined networking Optimization

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Service-Aware Access Control Procedure for Blockchain Assisted Real-Time Applications

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Computers, Materials & Continua 2021年第6期67卷 3649-3667页

作者： Alaa Omran Almagrabi A.K.Bashir Department of Information Systems Faculty of Computing and Information Technology(FCIT)King Abdul Aziz University(KAU)JeddahKingdom of Saudi Arabia School of Information and Communication Engineering University of Electronic Science and Technology of China(UESTC)ChengduChina

The design of distributed ledger,Asymmetric Key Algorithm(AKA)blockchain systems,is prominent in administering security and access control in various real-time services and *** assimilation of blockchain systems leverages the reliable access and secure service provisioning of the ***,the distributed ledger technology’s access control and chained decisions are defaced by pervasive and service *** results in degrading security through unattended access control for limited-service *** this article,a service-aware access control procedure(SACP)is introduced to address the afore-mentioned *** proposed SACP denes attended access control for all the service session by identifying the users and service provider *** distributed nature of the ledger systems and classication tree learning are combined to determine unattended *** sole access is determined by summarizing the closed and open access requests and the service provider’s availability and integrity *** this process,the learning process classies the secured access request and completed the integrity checks of the current and previous service *** classication-based access administration reduces the service disconnections and false access rate of the applications.

关键词： Access control blockchain classication trees service dissemination unattended access

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iContinuum: An Emulation Toolkit for Intent-Based computing Across the Edge-to-Cloud Continuum

iContinuum: An Emulation Toolkit for Intent-Based Computing ...

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IEEE International Conference on Cloud computing, CLOUD

作者： Negin Akbari Adel N. Toosi John Grundy Hourieh Khalajzadeh Mohammad S. Aslanpour Shashikant Ilager Department of Software Systems and Cybersecurity Monash University Australia School of Info Technology Deakin University Australia Institute of Information Systems Engineering TU Wien Austria

ISBN: (数字)9798350368536

ISBN: (纸本)9798350368543

The Internet of Things (IoT) has led to a surge in smart devices, generating vast volumes of data. Cloud computing offers scalability but does not suffice for many real-time and privacy-sensitive IoT applications. This limitation has prompted a blend of both edge and cloud resources, creating the need for seamless integration, known as the “compute continuum“. Testing applications and resource management techniques within this continuum is vital but can be very complex. Simulation and emulation are preferred methods, with emulation providing more accurate representations of real-world environments. In this paper, we introduce iContinuum, a novel emulation toolkit facilitating an intent-based platform for edge-to-cloud testing and experimentation. Leveraging software-Defined Networking (SDN) and containerization, iContinuum enables experimentation and performance evaluation while aligning application requirements with actual performance. We present our detailed architecture, implementation, and evaluation of iContinuum, showcasing how our proposed toolkit bridges the gap between simulation and real-world deployment within compute continuum environments, and further demonstrate the effectiveness of Intent-Based Scheduling through a specific use case.

关键词： Cloud computing Scalability Emulation Real-time systems Internet of Things Resource management Surges

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