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共 6998 条记录，以下是221-230 订阅

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A Security Aware Lighting Control System for Public Open Spaces: An IoT Powered Approach

A Security Aware Lighting Control System for Public Open Spa...

引用

2023 International Conference on Computational Intelligence, Networks and Security, ICCINS 2023

作者： Firdhous, Mohamed Fazil Mohamed Elbreiki, Walid Abdullahi, Ibrahim Briki, Wesam Arlimatti, Shivaleela University of Moratuwa Dept. of Information Technology Moratuwa Sri Lanka College of Computer Technology Dept. of Computer Science Benghazi Libya Ibrahim Badamasi Babangida University Dept. of Computer Science Niger State Lapai Nigeria Higher Institute of Engineering Technologies Dept. of Computer Science Benghazi Libya Dr. D y Patil Prathisthan's College of Engineering Dept. of Computer Science and Engineering Maharashtra Kolhapur India

ISBN: (纸本)9798350313796

Cities world over are becoming more congested as people moving into them for better living conditions. Such fast migration towards cities puts heavy demands on city resources. One of the resources that suffers an impact almost immediately is the open spaces in cities. Open spaces are the public spaces that are accessed by people freely for different purposes. Open spaces help citizens maintain a healthy life by relieving stresses. The open spaces visited by people at night must provide adequate lighting for them to engage in their activities. It is seen that many open spaces waste energy as the lights have been on throughout the nights irrespective of usage of the space. In this paper, the authors propose a security aware lighting control system that helps minimize the energy waste without compromising on security. A prototype implementation was tested and the results were positive promising real field implementations. © 2023 IEEE.

关键词： Control systems

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Study and Analysis of MultiChain Native Asset 10

Study and Analysis of MultiChain Native Asset

引用

10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Kharjana, Mebanjop Sahana, Subhas Chandra Saha, Goutam North-Eastern Hill University Dept. of Information Technology Meghalaya Shillong India National Institute of Technology Dept. of Computer Science & Engineering West Bengal Durgapur India

ISBN: (纸本)9798350384369

MultiChain native assets were blockchain-based dig-ital assets created, managed, and traded on its network. Such blockchain assets were ensured to be transparent, secured, and trusted. Different applications used MultiChain assets to represent digital and physical objects like images, files, houses, cars, etc. This paper aimed to highlight the MultiChain platform and how it manages its native assets. This was achieved by demonstrating different MultiChain commands to handle and manage assets. MultiChain native assets were then analyzed based on the existing frameworks for blockchain-based digital assets and tokens. They were also analyzed to study their compliance with different token standards established by Ethereum. Both analyses revealed that the MultiChain native asset is more advanced and compatible with most contemporary token standards. The results of this investigation are useful to guide future applications that utilize MultiChain native assets. © 2024 IEEE.

关键词： Asset Management Bitcoin Blockchain Blockchain Asset Ethereum Token Standard MultiChain Token Framework

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Automatic Recognition of Driving Events based on Deep Learning 6

Automatic Recognition of Driving Events based on Deep Learni...

引用

6th International Symposium on computer, Consumer and Control, IS3C 2023

作者： Chen, Jui-Chi Lian, Zhen-You Chiang, Hsin-You Huang, Chung-Lin Chuang, Cheng-Hung Asia University Dept. of Computer Science and Information Engineering Taiwan National Chin-Yi University of Technology Dept. of Artificial Intelligence and Computer Engineering Taiwan National Tsing Hua University Dept. of Electrical Engineering Taiwan

ISBN: (纸本)9798350301953

In recent years, there has been a rapid development of intelligent driving assistance systems. Although most vehicles nowadays are equipped with driving assistance systems, the number of car accidents continues to rise. The main cause of car accidents is still largely attributed to human factors. Therefore, there has been an increasing focus on research related to accident detection and driver behavior analysis. This study used deep learning methods to automatically recognize driving events from recorded driving videos. In the training phase of deep learning, we cropped all the videos in the training data into multiple clips, and labeled driving event categories for each clip, including four categories: vehicle stopped, straight driving, turning, and collision. The proposed model references the architecture of the SlowFastNet model and the concepts of I3D. We expanded Inception-V3 to a 3D structure and replaced the bottom architecture of SlowFastNet with 3D-Inception-V3, making the network more applicable to the training data. After training, the model can recognize driving events in various driving environments. Through experimental comparisons, our network architecture achieved the highest recognition accuracy, with an accuracy rate of 93.3%. © 2023 IEEE.

关键词： Vehicles

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User needs in the Musical Metaverse: a case study with electroacoustic musicians

User needs in the Musical Metaverse: a case study with elect...

引用

International Conference on New Interfaces for Musical Expression, NIME 2024

作者： Boem, Alberto Tomasetti, Matteo Gabriele, Alessio Di Scipio, Agostino Turchet, Luca Dept. of Information Engineering and Computer Science University of Trento Trento Italy Dept. of Electronic Music Conservatorio Statale di Musica "A. Casella" L’Aquila Italy

The Musical Metaverse (MM) is expected to pave the way for a new era of musical activities in immersive, and technology-mediated environments. However, research on the MM is still in its infancy. Until now, the attention has primarily been directed toward engineering and artistic issues. Few studies have explored the uses and desires of stakeholders in immersive environments, particularly in terms of how these environments can best support musicians’ needs for musical composition, performance, and education. This study aims to explore the needs of electroacoustic composers and musicians in a Metaverse dedicated to musical activities. For this, we conducted a half-day workshop with fourteen participants to collect data. Eleven user needs and potential issues were identified and discussed. The reported findings may contribute to enhance the understanding of the user experience in the MM by considering the needs and requirements expressed by specific stakeholders and early adopters, such as electroacoustic practitioners. © 2024, International Conference on New Interfaces for Musical Expression. All rights reserved.

关键词： Music

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A Systematic Study on Ransomware Attack: Types, Phases and Recent Variants 5

A Systematic Study on Ransomware Attack: Types, Phases and R...

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5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Krishna Prasad, D.S. Prasanna Kumar, H.R. Dept. of Computer & Communication Engineering. Karnataka574110 India Visvesvaraya Technological University Belagavi590018 India Pes Institute of Technology and Management Dept. of Information Science and Engineering Shivamogga India

ISBN: (纸本)9798350385649

The rise of ransomware attacks presents a major cybersecurity threat, leading to considerable financial losses and disrupting crucial operations across diverse sectors. In-dept. research on the field of ransomware assaults is presented in this study, with particular attention to the various kinds and variations that have appeared throughout time. This research includes a thorough examination of the strategies, processes, and methods that ransomware perpetrators use to carry out their operations. The study outlines the many stages in the lifecycle of ransomware attacks, including the introduction of infection vectors, the use of encryption tools, and the last step of extortion. The research also explores the terrain of ransomware variations, recognizing the evolution and diversity of these threats throughout time. With a taxonomy that categorizes variations depending on their dissemination methods, encryption algorithms, and evasion approaches. © 2024 IEEE.

关键词： Cybersecurity

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Anodyne for Piracy by Hue Anatomization 2

Anodyne for Piracy by Hue Anatomization

引用

2nd IEEE International Conference on Data, Decision and Systems, ICDDS 2023

作者： Srinivasan, K N Pranav Sujatha, D.N. New Horizon College of Engineering Dept. of Information Science and Engineering Bangalore India B M S College of Engineering Dept. of Computer Applications Bangalore India

ISBN: (纸本)9798350314168

Piracy is a malignant and deleterious parasite in the world of digital content. Here we are specific to piracy that occurs in movies through cam recorders and mobiles. Our solution aims to find the source of piracy among screening theaters to remediate the film industry and expunge piracy altogether. The method we use to solve this problem is hue anatomization, which uses hue and its properties to locate a theater distinctively from other theaters. The proposed method is studied with four progressions, Further with Structural Similarity Index Measure (SSIM), the results are accurate only if the window size it searches for is correct, this needs to be rechecked manually. © 2023 IEEE.

关键词： Theaters

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Improved Algorithms for the Capacitated Team Orienteering Problem 24

Improved Algorithms for the Capacitated Team Orienteering Pr...

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24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2024

作者： D’Angelo, Gianlorenzo D’Emidio, Mattia Delfaraz, Esmaeil Di Stefano, Gabriele Gran Sasso Science Institute L’Aquila Italy Dept. of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy

ISBN: (纸本)9783959773508

We study the Capacitated Team Orienteering Problem, where a fleet of vehicles with capacities have to meet customers with known demands and prizes for a single commodity. The objective is to maximize the total prize and to assign a sequence of customers to each vehicle while keeping the total distance traveled within a given budget and such that the total demand served by each vehicle does not exceed its capacity. The problem has been widely studied both from a theoretical and a practical point of view. The contribution of this paper is twofold: (1) We advance the theoretical knowledge on the problem by providing new approximation algorithms that achieve, under some natural assumption, improved approximation ratios compared to the current best algorithms;(2) We propose four efficient heuristics that outperform the current state-of-the-art practical methods in the sense that they compute solutions that collect nearly the same prize in a significantly smaller running time. We also experimentally test the scalability of the new heuristics, showing that their running time increases approximately linearly with the size of the input, allowing us to process large graphs which were not possible to analyze before. © Gianlorenzo D’Angelo, Mattia D’Emidio, Esmaeil Delfaraz, and Gabriele Di Stefano.

关键词： Budget control

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Evaluation and Comparison of Facial Recognition Technology in Drawn Portraits 13

Evaluation and Comparison of Facial Recognition Technology i...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Chang, Cheng Fanjiang, Yong-Yi Hung, Chi-Huang Chen, Jung-Hua Phung, Kiem-Trinh Trieu, Van-Duc Fu Jen Catholic University Graduate Institute of Applied Science and Engineering New Taipei City Taiwan Fu Jen Catholic University Graduate Institute of Applied Science and Engineering Dept. of Computer Science and Information Engineering New Taipei City Taiwan Fu Jen Catholic University Lee-Ming Institute of Technology Graduate Institute of Applied Science and Engineering Dept. of Information Technology New Taipei Taiwan Fu Jen Catholic University Dept. of Computer Science and Information Engineering New Taipei City Taiwan Lee-Ming Institute of Technology Dept. Electronical Engineering New Taipei City Taiwan

ISBN: (纸本)9798350355079

Numerous studies have proposed various methods and applications for facial recognition. In camera-equipped environments, these methods can easily identify real faces. However, recognizing faces on printed or Portrait Drawing becomes more complex. In other words, real faces are three-dimensional, and while algorithms can sample feature values, identifying portrait drawing face on paper is relatively more challenging. This study evaluates and compares the effectiveness of various facial recognition techniques on paper-based images, including Haar-cascade, MTCNN, and Dlib 68 feature points. © 2024 IEEE.

关键词： Face recognition

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Cloud Data Security Using Hybrid Encryption with Blockchain 8th

Cloud Data Security Using Hybrid Encryption with Blockchain

引用

8th International Conference on Emerging Research in Computing, information, Communication and Applications, ERCICA 2023

作者： Soundappan, Kalaiselvi Shenoy, Govind Sreekar MSC- Computer Science Liverpool John Moors University Chennai India Dept. of Information Science Engineering Nitte Meenakshi Institute of Technology Bengaluru India

ISBN: (纸本)9789819976324

Securing cloud computing is a significant challenge for the cloud services sector. If someone is using the cloud to store data, choosing an encryption method that would not slow things down too much while providing a high-security level is essential. The world is going through a massive transformation from the electrical to the digital era. Though the mobile industry is quickly increasing, it has not yet fully advanced in terms of capability, storage, and capacity to meet customer demands. This paper focusses on cloud data security using hybrid encryption (RSA + proxy-re-encryption) with Blockchain Technology (BCT). BCT provides high data security, decentralization, an open and transparent network design, and minimal operational costs. The proposed method is also focused on BC-based decentralized consortium traceable anonymous cloud data storage and sharing system. It alleviates the blockchain’s massive data storage load using an "on-chain & off-chain" paradigm. The proposed solution enables fine-grained access control of outsourced data by presenting an upgraded proxy re-encryption with the RSA algorithm. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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Steganographic Encryption and Decryption Using Duality Preserving GANs 22

Steganographic Encryption and Decryption Using Duality Prese...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Shah, Aaryak Kamal, Alok Kumar Neeraj Dept. of Information Technology ABV-IIITM Gwalior Gwalior India Dept. of Electrical/Electronics ABV-IIITM Gwalior Gwalior India Dept. of Computer Science and Engineering Mahindra University Hyderabad India

ISBN: (纸本)9798331527471

Image steganography has been a significant research area in the security sphere. The core idea revolves around embedding secret messages in existing images (covers) such that the resultant image displays no noticeable detectable artifacts of the secret while also being statistically similar to the original cover. Various steganographic techniques have been developed and tested. However, these traditional techniques often exploit some specific property of the image and are often easy to detect with the right tools. In recent times, generative adversarial networks, or GANs for short, have shown massive promise in their capability to modify and synthesize data. They are now ubiquitous in image synthesis and image translation tasks. With various recent advancements in this technology allowing these models to generate, in many cases, human-imperceptible data, GAN-based steganographic systems have become a significant focus of security research. This report analyzes and compares some existing models and attempts to provide a new solution that performs better on multiple well-defined metrics. A DualGAN-based architecture is proposed that trains both the encoder and decoder processes simultaneously while maintaining the underlying dual relationship of these tasks. The proposed scheme reports better results on the selected metrics (SBR, DER, PSNR) at three values of embedding capacity set at 0.3, 0.6, and 0.9. © 2024 IEEE.

关键词： Generative adversarial networks

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