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4th International Conference on computer, Communication, Control and Information technology, C3IT 2024

作者： Das, Biswaranjan Das, Nayan Ranjan Mondal, Bappaditya Sur, Ratul Paul, Sushmita Das, Basudha Maity, Sutanu Academy of Technology Department of Engineering Science & Humanities West Bengal Hooghly712121 India Academy of Technology Department of Computer Science & Engineering West Bengal Hooghly712121 India Academy of Technology Department of Computer Science & Business Systems West Bengal Hooghly712121 India

ISBN: (纸本)9798350389128

The objective of the paper is to construct an innovative ranking system based on various Machine Learning (ML) techniques specifically tailored for One Day International (ODI) male players. It aims to create a recommender system that produces bowler rankings closely aligned with the International Cricket Council (ICC) Rankings, with a focus on enhancing accuracy and reliability. The dataset encompasses a wide range of match parameters, performance metrics, and player statistics, providing a comprehensive foundation for insightful analysis. By employing data-driven techniques, the paper aims to highlight key performance indicators that significantly influence bowler rankings. We performed an analysis among five machine learning models that can produce rankings of bowlers and select the best model whose predictions are closest to the ICC's official rankings. The rankings obtained from the five machine learning algorithms have been compared with ICC rankings utilizing the Spearman Rank Correlation Coefficient. The results highlight that the Artificial Neural Networks (ANN) exhibit the best outcomes with a rank correlation of 0.7550. © 2024 IEEE.

关键词： Adversarial machine learning

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A Survey of Edge Caching:Key Issues and Challenges

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Tsinghua science and technology 2024年第3期29卷 818-842页

作者： Hanwen Li Mingtao Sun Fan Xia Xiaolong Xu Muhammad Bilal School of Computer Science Nanjing University of Information Science and TechnologyNanjing 210044China Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 262700China Reading Academy Nanjing University of Information Science and TechnologyNanjing 210044China School of Software Nanjing University of Information Science and TechnologyNanjing 210044China Department of Computer Engineering Hankuk University of Foreign StudiesYongin-si 17035Republic of Korea

With the rapid development of mobile communication technology and intelligent applications,the quantity of mobile devices and data traffic in networks have been growing exponentially,which poses a great burden to networks and brings huge challenge to servicing user *** caching,which utilizes the storage and computation resources of the edge to bring resources closer to end users,is a promising way to relieve network burden and enhance user *** this paper,we aim to survey the edge caching techniques from a comprehensive and systematic *** first present an overview of edge caching,summarizing the three key issues regarding edge caching,i.e.,where,what,and how to cache,and then introducing several significant caching *** then carry out a detailed and in-depth elaboration on these three issues,which correspond to caching locations,caching objects,and caching strategies,*** particular,we innovate on the issue“what to cache”,interpreting it as the classification of the“caching objects”,which can be further classified into content cache,data cache,and service ***,we discuss several open issues and challenges of edge caching to inspire future investigations in this research area.

关键词： edge caching edge computing caching location caching object caching strategy 5G networkarchitecture Internet of Things(IoT)

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A Message Digest Based Secured APUF Model to Prevent Machine Learning Attacks 4

A Message Digest Based Secured APUF Model to Prevent Machine...

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4th International Conference on computer, Communication, Control and Information technology, C3IT 2024

作者： Das, Prasenjit Giri, Chandan Computer Science and Engineering Academy of Technology Adisaptagram Hooghly India Indian Institute of Engineering Science and Technology Department of Information Technology Shibpur Howrah India

ISBN: (纸本)9798350389128

In the era of the Internet of Things (IoT), cloud computing huge amounts of data are generated by machines, humans and it is communicated over the internet. We need a stringent security to protect information as well as the devices also from the intruder. The electronic devices such as RFID, smart card and different sensors are used in different applications like smart automation and health monitoring but they are small and resource limited. The devices are placed in public places and exposed to the adversary for physical and cloning attacks. Hardware-based security using Physical unclonable function (PUF) overcomes such a problem but it is vulnerable to machine learning attacks with high precision. A variety of PUF designs have been proposed by the different researchers to provide energy-efficient, cost-effective and machine learning attack re-sistant such as Arbiter PUF(APUF), double APUF, XOR-PUF and multi-PUF(M-PUF) but either they have low reliability or they are not fully machine learning attack resistant. In this paper, we propose a message digest based APUF (MD-PUF) model which is energy-efficient, cost-effective and better machine learning attack resistant compare to other APUF models. We have added a message digest module which changes the input challenges to an arbitrary random challenges its make the intruder confuse to predict the response for unknown challenges and then it is fed into the APUF. We design the message digest module using columnar transposition which requires a very less amount hardware cost of n-bit registers for n-stages PUF. We mathematically prove that the prediction probability of MD-PUF is less than the classical APUF. We evaluate and compare the quality metrics of MD-PUF and APUF. The prediction accuracy of the proposed model is less compare to APUF against the machine learning algorithm LR, SVM and using evolutionary strategy CMA-ES. © 2024 IEEE.

关键词： Smart cards

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Anonymous and robust biometric authentication scheme for secure social IoT healthcare applications

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Journal of engineering and Applied science 2024年第1期71卷 8页

作者： Arpitha, T. Chouhan, Dharamendra Shreyas, J. Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University Bengaluru India Department of Information Technology Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India

In the era of rapid technological advancement, the Internet of Things (IoT) has revolutionised healthcare through systems like the Telecare Medicine Information System (TMIS), designed to streamline patient-doctor interactions and enhance medical treatment. However, the transmission of sensitive patient data over inherently insecure Internet channels exposes it to a spectrum of security risks. Protecting patient medical privacy and ensuring system reliability necessitate mutual authentication between both patients and medical servers. TMIS relies on robust authentication mechanisms, and combining passwords and smart cards has been a recognised approach for mutual authentication. This research introduces an innovative three-factor authentication technique with perfect forward secrecy by leveraging the power of Elliptic Curve Cryptography (ECC) in tandem with smart cards. Additionally, we have incorporated biometric authentication with a Fuzzy Extractor technology to enhance the security and reliability of the system, setting a new standard for user authentication within the realm of Social IoT healthcare. The use of ECC in the method is justified due to its compact key size and robust security measures, making the solution both efficient and secure. The proposed method safeguards user privacy by permitting registered users to change their passwords without divulging their identity to the server. The Burrows–Abadi–Needham logic (also known as the BAN logic) serves as a proof-of-concept for the proposed scheme’s security. Our system provides privacy protection along with mutual authentication and session key negotiation at a considerably low computation cost and communication cost of up to 71.03% compared to the other four relevant techniques, making it more useful in real-world scenarios. © 2023, The Author(s).

关键词： Smart cards

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Light People:*** Dai,*** Lo,and *** Su-innovators in silicon photonics

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Light(science & Applications) 2024年第12期13卷 2880-2885页

作者： Yating Wan Chenzi Guo Electrical and Computer Engineering the ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology23955-6900 ThuwalSaudi Arabia Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina

In this edition of Light People,we are excited to feature *** Dai(Zhejiang University),*** Su(Shanghai Jiao Tong University),and *** Lo(Advanced Micro Foundry Pte Ltd,Singapore),three prominent researchers shaping the future of silicon *** collaborative work addresses critical issues in silicon photonics,including reducing propagation losses,enlarging the functionalities and enhancing building blocks,integrating efficient laser sources,expanding applications,and pushing the boundaries of optical and electronic *** this interview,we delve into their academic journeys,challenges,and future visions,offering insights into the ongoing evolution of silicon photonics and its potential to transform *** a deeper exploration of their experiences and advice,the full interview is available in the Supplementary material.

关键词： interview offering photonics

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Light People:*** May Lau,newly elected US NAE member in Hong Kong,talks about future of photonics and women in science

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Light(science & Applications) 2024年第4期13卷 602-608页

Editorial Photonics technology remains a driving force in today’s scientific landscape,marked by continuous innovation and crossdisciplinary *** an enlighting conversation with Light:science&Applications,*** May Lau,a pioneer in photonics research,shares her deep insights on the evolution of technologies of LEDs,lasers,challenges of hetero-epitaxy,and the future of micro-LEDs and quantum dot *** honored as a member of the US National academy of engineering(NAE)for her significant contributions to photonics and electronics using III-V semiconductors on silicon,*** stands out as the sole Hong Kong scholar inducted into the NAE this year,joining 114 new and 21 international *** this exclusive Light People interview,*** shares her journey as a pioneering woman in engineering,her commitment to mentorship and academia,and her perspective on advancing female representation in *** summary provided is distilled from ***’s thoughtful responses during the *** a deeper exploration of ***’s experiences and advice,the full interview is available in the Supplementary material.

关键词： interview lighting driving

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Enabling Robust Security in MQTT-Based IoT Networks with Dynamic Resource-Aware Key Sharing 4

Enabling Robust Security in MQTT-Based IoT Networks with Dyn...

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4th International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2024

作者： Kaganurmath, Sharadadevi Cholli, Nagaraj Department of Computer Science Engineering Global Academy of Technology Bengaluru India Department of Information Science Engineering RV College of Engineering Bengaluru India

This paper presents a novel approach aimed at developing a secure secret key-sharing system optimized for resource-constrained Internet of Things (IoT) devices. Focusing on the MQTT protocol, the research endeavors to establish secure communication channels between IoT devices and brokers, thereby enhancing the overall security of MQTT-based IoT deployments. This research introduces a novel Dynamic Lightweight Authentication for MQTT (DLA-MQTT) mechanism designed to the unique needs of IoT devices operating under the MQTT protocol. The DLA-MQTT mechanism leverages an innovative lightweight Generalized Feedback Shift Register (GFSR)-based Pseudo-Random Number Generator (PRNG) to generate ephemeral keys, ensuring secure communication while addressing the limitations of computational power and energy resources. Through a detailed comparative analysis with existing cryptographic solutions, the DLA-MQTT mechanism demonstrates superior performance in terms of computational overhead, energy consumption, and execution time, while maintaining robust security against common attacks such as Man-in-the-Middle (MitM) and Denial of Service (DoS). he proposed algorithm's adaptability and scalability are validated using the Cooja simulator, where simulated IoT networks are subjected to various threat scenarios. The results confirm the DLA-MQTT mechanism's efficacy, showcasing a significant reduction in resource utilization without compromising the strength of the security provided. © 2025 The Authors. Published by Elsevier B.V.

关键词： Shift registers

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Physical information-enhanced graph neural network for predicting phase separation

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Chinese Physics B 2024年第7期33卷 278-283页

作者：张亚强王煦文王雅楠郑文 Institute of Public-Safety and Big Data College of Computer Science and Technology(College of Data Science)Taiyuan University of TechnologyJinzhong 030600China Shanxi Engineering Research Centre for Intelligent Data Assisted Treatment Changzhi Medical CollegeChangzhi 046000China Innovation Academy for Microsatellites of Chinese Academy of Sciences Shanghai 200050China

Although phase separation is a ubiquitous phenomenon, the interactions between multiple components make it difficult to accurately model and predict. In recent years, machine learning has been widely used in physics simulations. Here,we present a physical information-enhanced graph neural network(PIENet) to simulate and predict the evolution of phase separation. The accuracy of our model in predicting particle positions is improved by 40.3% and 51.77% compared with CNN and SVM respectively. Moreover, we design an order parameter based on local density to measure the evolution of phase separation and analyze the systematic changes with different repulsion coefficients and different Schmidt *** results demonstrate that our model can achieve long-term accurate predictions of order parameters without requiring complex handcrafted features. These results prove that graph neural networks can become new tools and methods for predicting the structure and properties of complex physical systems.

关键词： graph neural network phase separation machine learning dissipative particle dynamics

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VISION-PF: A computer Vision Approach to Injury Prevention in Physical Fitness

VISION-PF: A Computer Vision Approach to Injury Prevention i...

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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： Ouf, Mohamed Ashraf Amin, Rowan Mohamed Sabry, Moustafa Mamdouh Ali, Abdulrahman Hussien Hamdan, Yehia Ahmed Saleh, Sherine Nagy Arab Academy for Science Technology and Maritime Transport Computer Engineering Department Alexandria Egypt

ISBN: (纸本)9798350351408

Ensuring accurate and effective exercise performance monitoring is essential for sports-focused injury prevention. Maintaining perfect form is crucial since incorrect training increases the chance of injuries dramatically. This article focuses on the popular push-up exercise and introduces a new approach that uses a carefully curated dataset for analysis. The proposed model can accurately discriminate between correct and wrong push-up forms by employing LSTM networks and sophisticated computer vision algorithms. This improved method enables focused interventions, tailored feedback, and the detection of form deviations, providing insights into typical errors. This research aims to improve athlete safety, maximize athletic performance, and establish a framework for using the concept in other significant sports-related injury prevention initiatives. The proposed model significantly improved performance, achieving F1 scores of 0.9 and 0.85 on the training and testing sets, respectively. © 2024 IEEE.

关键词： Machine vision

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Integrity Shield: Defending Genuine Goods

Integrity Shield: Defending Genuine Goods

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2024 IEEE International Conference on Emerging Technologies in computer science for Interdisciplinary Applications, ICETCS 2024

作者： Kshitija Nagareddy, G.B. Param Preetham, R. Bavagi, Raghavendra R. Sushmitha, S. Dayananda Sagar Academy of Technology and Management Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350372502

The rise in counterfeit products poses a significant challenge for consumers, businesses, and governments worldwide. Counterfeit goods not only impact the economy but also pose health and safety risks. Traditional methods of combating counterfeiting have proven inadequate, necessitating the exploration of innovative solutions. This report focuses on the utilization of blockchain technology for fake product identification. © 2024 IEEE.

关键词： Blockchain

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