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Digital compass for multi-user beam access in mmWave cellular networks

Digital Communications and Networks 2023年第4期9卷 879-886页

作者： Adel Aldalbahi Nazli Siasi Asim Mazin Mohammed A.Jasim Department of Electrical Engineering King Faisal UniversityAl-Ahsa34221Saudi Arabia School of Computing DePaul UniversityChicagoIL60604USA Department of Electrical Engineering University of South FloridaTampaFL33620USA School of Engineering and Technology University of WashingtonTacomaWA98402USA

Beamforming in stand-alone Millimeter-Wave(mmWave)communications results in prolonged access times and latencies due to the increased number of measurements required to determine the optimal beam directions at the Mobile Station(MS)and Base Station(BS),returning the highest received signal ***,dynamic and fast access schemes that meet the Third-Generation Partnership Project(3GPP)specifications are required ***,in this paper,a novel initial access scheme is proposed for multiple MS users by leveraging for the first time a digital compass in the access ***,when a new MS joins the footprint of a BS,it probes the channel for beacon signaling about the BS direction,i.e.,broadcasted by a neighboring MS that completed beam association at previous time ***,a digital compass is utilized to adjust the coordinates of the BS according to the location of the new *** proposed scheme is applied for a single and multi-user settings at various broadcasting *** includes a single associated MS user that broadcasts information to a single incoming MS user,a single user that broadcasts signals to multiple incoming users,or all multiple associated users broadcast to multiple incoming ***,the proposed schemes yield in notable efficiency in terms of the computational complexity,access times,power and energy consumption as compared to existing access ***,high success rates are achieved at the detriment of relatively higher cost.

关键词： Millimeter wave Initial beam access Electronic compass Beamforming Access times Energy consumption

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Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud computing Environment for Efficient Resource Scheduling for Distributed Overloading

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Journal of Systems Science and Systems engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq Raed Alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

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Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map

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Computers, Materials & Continua 2023年第3期74卷 6703-6717页

作者： K.Priyadarsini Arun Kumar Sivaraman Abdul Quadir Md Areej Malibari Department of Data Science and Business Systems School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathurChennai603203India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

With the rapid evolution of Internet technology,fog computing has taken a major role in managing large amounts of *** major concerns in this domain are security and ***,attaining a reliable level of confidentiality in the fog computing environment is a pivotal *** different types of data stored in the fog,the 3D point and mesh fog data are increasingly popular in recent days,due to the growth of 3D modelling and 3D printing ***,in this research,we propose a novel scheme for preserving the privacy of 3D point and mesh fog *** Cat mapbased data encryption is a recently trending research area due to its unique properties like pseudo-randomness,deterministic nature,sensitivity to initial conditions,ergodicity,*** boost encryption efficiency significantly,in this work,we propose a novel Chaotic Cat *** sequence generated by this map is used to transform the coordinates of the fog *** improved range of the proposed map is depicted using bifurcation *** quality of the proposed Chaotic Cat map is also analyzed using metrics like Lyapunov exponent and approximate *** also demonstrate the performance of the proposed encryption framework using attacks like brute-force attack and statistical *** experimental results clearly depict that the proposed framework produces the best results compared to the previous works in the literature.

关键词： Chaotic cat map fog computing encryption 3D point fog 3D mesh

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Towards reliability analysis of IEEE 802.11p MAC for platooning in a heterogeneous traffic setup 10

Towards reliability analysis of IEEE 802.11p MAC for platoon...

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10th International Conference on Wireless Networks and Mobile Communications, WINCOM 2023

作者： Gayathree, M.S. Manjunath, Sreelakshmi Indian Institute of Technology Mandi School of Computing and Electrical Engineering Himachal Pradesh India

ISBN: (纸本)9798350329674

We study the performance of the IEEE 802.11p medium access protocol for platooning of connected vehicles in the presence of interruptions from human-driven Motorised Two Wheelers (MTWs). We invoke specific mobility models for the movement of the vehicles - car-following models for connected vehicle platoons and gap-acceptance model to capture the interruptions by the MTWs - and use them to configure (i) the traffic setup and (ii) the rate at which data packets related to safety-critical messages are generated. A control-theoretic analysis of the car-following models yields a bound on the admissible communication delay to ensure non-oscillatory convergence of the platoon headway. We then use suitable Markov chain models to derive the distribution of the MAC access delay experienced by packets pertaining to safety-critical events as well as routine safety messages. Using the delay distribution and the bound on the admissible delay we compute the reliability of the 802.11p MAC protocol in terms of traffic and protocol parameters. It is seen that the MAC protocol may not always ensure timely delivery of packets for safe platooning. Our study highlights the need for redesign of MAC protocols for vehicular communications in heterogeneous conditions. © 2023 IEEE.

关键词： Vehicles

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Blockchain-Based Intelligent Digital Credentialing System for Participatory Governance: Design, Implementation, and Potential Implications

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SN Computer Science 2024年第8期5卷 1-15页

作者： Dhasarathan, Chandramohan Rajaguru, Dayalan Subash Chandra Bose, J. Department of Electronics and Communication Engineering Thapar Institute of Engineering and Technology Punjab Patiala India Department of Information Technology Perunthalaivar Kamarajar Institute of Engineering and Technology Karaikal Puducherry India School of Computing Science and Engineering VIT Bhopal University Madhya Pradesh Bhopal India

This research proposes a blockchain-based digital credentialing system for participatory governance to address issues with centralized, opaque, and insecure standard credential systems. Leveraging the Hyperledger Fabric platform and smart contracts, the proposed method increases credential data’s transparency, security, and immutability, resulting in a more efficient and cost-effective solution. The paper covers the technological design of the system, including the use of Hyperledger Fabric components and the incorporation of the digital credential system. It also discusses the potential benefits and challenges of the system, highlighting its potential to increase trust and accountability in participatory governance. This paper presents a promising solution for improving digital credentialing using blockchain technology with implications for participatory governance. It explores a participatory administration’s social and political consequences via a blockchain-enabled innovative certification system, including greater citizen engagement and participation and enhanced credibility and legitimacy of governance processes. However, it acknowledges data privacy issues and potential power imbalances. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Artificial intelligence Blockchain technology Digital credentialing system Hyperledger Smart contract

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Novel Metamaterial Inspired SSP-WGM Resonator Based Highly Sensitive EM Biosensor for Noninvasive Measurement of Blood Glucose Using Aqueous Glucose Solution and Saliva

Novel Metamaterial Inspired SSP-WGM Resonator Based Highly S...

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2023 IEEE Microwaves, Antennas, and Propagation Conference, MAPCON 2023

作者： Dutta, Debarati Anand, Ravi Shah, Prashant Mendiratta, Namrata Sarkar, Anirban Indian Institute of Technology School of Computing and Electrical Engineering Himachal Pradesh Mandi India

ISBN: (纸本)9798350328264

This paper introduces a novel spoof surface plasmon polariton (SSPP) based metamaterial-inspired electromagnetic (EM) biosensor for non-invasive diabetes analysis. The sensor design incorporates a spoof surface whispering gallery mode (SS-WGM) resonator, which effectively localizes the electric field within a specific region due to its slow-wave propagation. To achieve optimal sensitivity, a PDMS microfluidic channel is utilized to hold the sample (SUT) precisely on the region of maximum EM field concentration. Two different non-invasive samples, aqua solution mimicking blood, and human saliva, are used for evaluation. The comprehensive analysis reveals that this proposed microwave sensor holds great potential in advancing the development of modern lab-on-chip systems based on microwave technology. © 2023 IEEE.

关键词： Localized Surface Plasmon (LPS) microfluidic channel PDMS component Spoof Localized Surface Plasmon (SLSP) Spoof Surface Plasmon (SSP) Spoof Surface Plasmonic Whispering Gallery Mode (SSP-WGM)

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Universal and Efficient Adversarial Training Framework with Membership Inference Resistance

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IEEE Internet of Things Journal 2025年第12期12卷 18665-18677页

作者： Yan, Ran Du, Ruiying He, Kun Chen, Jing Li, Qiao Wu, Cong The Collaborative Innovation Center of Geospatial Technology School of Cyber Science and Engineering Wuhan University Wuhan China Wuhan University School of Cyber Science and Engineering Wuhan China Shenzhen Institute of Wuhan University China Nanyang Technological University College of Computing and Data Science Singapore Singapore

Adversarial training is an effective approach to enhance the robustness of machine learning models via adding adversarial examples into the training phase. However, existing adversarial training methods increase the advantage of membership inference attacks, which aim to determine from the model whether an example is in the training dataset. In this paper, we propose an adversarial training framework that guarantees both robustness and membership privacy by introducing a tailor-made example called reverse-symmetry example. Moreover, our framework reduces the number of required adversarial examples compared with existing adversarial training methods. We implement our framework using four adversarial training methods on the FMNIST and CIFAR10 datasets and compare its performance with deep learning differential privacy. Our experimental findings demonstrate that our framework mitigates model overfitting and outperforms the original adversarial training with respect to the overall performance of accuracy, robustness, privacy, and runtime. © 2014 IEEE.

关键词： Adversarial machine learning

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Optimized Charging Method for Fast Charging of EV Batteries 49

Optimized Charging Method for Fast Charging of EV Batteries

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Kumar, Devesh Das, Moumita School of Computing and Electrical Engineering Indian Institute of Technology Himachal Pradesh Mandi India

ISBN: (纸本)9798350331820

Nowadays, energy storage plays a crucial role in electric vehicles. The existing constant current constant voltage charging methods can accelerate damage inside the battery by causing a loss of lithium ions, if a high current (more than 1C) is injected. Hence, a new optimized charging algorithm is proposed in this paper. In this charging method, four charging algorithms are combined, which are pulse current charging (0% to 20% SOC), pulse and burp current charging (20% to 80% SOC), and constant current constant voltage charging (above 80% SOC). This proposed hybrid charging algorithm reduces the charging time to less than an hour. One of the important features of this charging algorithm is that it charges the battery in pulse charging and pulse and burp charging modes at low frequency (2.5 Hz). Additionally, the negative current pulse in pulse and burp charging mode helps to mitigate the issue of lithium plating on the surface of the negative electrode during the charging process. Hence, the proposed method optimizes the performance of the battery to improve the battery life. The proposed algorithm is implemented in a bidirectional DC-DC power converter to verify the operation. The simulation and experimental results of the proposed charging method are included in this paper which shows, improvement of the battery life. The experimental results are also included in this paper. © 2023 IEEE.

关键词： DC-DC converters

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The Impact of Domain Name Server(DNS)over Hypertext Transfer Protocol Secure(HTTPS)on Cyber Security:Limitations,Challenges,and Detection Techniques

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Computers, Materials & Continua 2024年第9期80卷 4513-4542页

作者： Muhammad Dawood Shanshan Tu Chuangbai Xiao Muhammad Haris Hisham Alasmary Muhammad Waqas Sadaqat Ur Rehman Faculty of Information Technology Beijing University of TechnologyBeijing100124China National Center of Robotics and Automation University of Engineering and TechnologyPeshawar25000Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia School of Computing and Engineering Sciences Faculty of Engineering and ScienceUniversity of GreenwichLondonSE109LSUnited Kingdom School of Engineering Edith Cowan UniversityPerthWA 6027Australia School of Computer Science and Engineering University of SalfordManchesterM54BRUnited Kingdom

The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of ***,the adoption of DoH is still facing several research challenges,such as ensuring security,compatibility,standardization,performance,privacy,and increasing user *** significantly impacts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted malware communication,and difficulty adapting DNS-based security ***,it is important to understand the impact of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without compromising user *** paper provides an in-depth analysis of the effects of DoH on *** discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security ***,this paper highlights the need for continued research and development to ensure the effectiveness of DoH as a tool for improving privacy and security.

关键词： DNS DNS over HTTPS cybersecurity machine learning

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Based on Spectral Clustering Dynamic Community Discovery Algorithm Research in Temporal Network

Based on Spectral Clustering Dynamic Community Discovery Alg...

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2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms, PRMVIA 2023

作者： Yang, Yu Long, Yong Gui, Linbin Ma, Jurun Yunnan Vocational Institute of Energy Technology School of Computing and Information Engineering Qujing China

ISBN: (纸本)9798350346596

The study of temporal community discovery is an essential research area in social network analysis. As nodes join or leave social networks, the relationships between nodes are establishing or terminating, which affects community structure changes. Given the social networks discovery algorithm of static community lacks the indispensable historical information of network community nodes, resulting in insufficient network structure analysis and clustering information. Based on the community network evolution division events, the paper extracted the priority for analysis and proposed the SC-DCDA: Spectral Clustering Based Temporal Community Discovery Algorithm. According to experimental observation, the SC-DCDA firstly reduced the dimensionality of high-dimensional data leveraging the method of spectral mapping. Secondly, the improved Fuzzy C-means clustering algorithm was adopted to determine the correlation between nodes in temporal social networks and the communities to be discovered, and finally the community structure analysis was performed according to the evolutionary similarity matrix. The ground truth datasets combined with the typically community discovery algorithm metric Modularity Score experimental verification and performance evaluation. The experimental results show that the algorithm metric is well-suited for the temporal datasets, indicating that the proposed algorithm has achieved several better results in information interaction, clustering effect, and accuracy. © 2023 IEEE.

关键词： Clustering algorithms

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