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Distributed Brute-Force Password Recovery with a Partitioned Quantum Grover’s Algorithm 2

Distributed Brute-Force Password Recovery with a Partitioned...

引用

2nd international conference on Computational Intelligence and Network Systems, CINS 2024

作者： Bounceur, Ahcene University of Sharjah College of Computing and Informatics Sharjah United Arab Emirates

ISBN: (纸本)9798331504106

In the booming field of quantum computing, Grover’s Algorithm emerges as a pivotal quantum search algorithm, theoretically capable of outperforming classical brute-force search methods by exploiting the principles of superposition and quantum parallelism. However, the practical application of Grover’s Algorithm to crack complex passwords is limited by the nascent stage of quantum technology, which is currently challenged by limitations in qubit count and coherence times. This paper proposes a novel distributed quantum computing framework that aims to circumvent these limitations by partitioning the search space for a complex password among an array of quantum processors. Each processor executes Grover’s Algorithm on a fraction of the total search space, thereby reducing the complexity and quantum resource requirements for each individual computation. The partial results are then transmitted to a central classical computer, which synthesizes them into the final password. This distributed approach not only makes the task feasible for (with) present-day quantum systems but also presents a scalable model that could adapt to the rapid advancements in quantum technologies. By dissecting the complexity of the quantum brute-force problem into smaller, more manageable units, this method holds the potential to significantly reduce the time complexity of password recovery processes and thus presents a profound progress (implications) for the fields of cryptography and cybersecurity. ©2024 ieee.

关键词： Quantum computers

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A Data-driven Truck Dispatching Algorithm for a Sequence-constrained Less-than-truckload Container Transshipment Problem 22

A Data-driven Truck Dispatching Algorithm for a Sequence-con...

引用

22nd ieee international conference on Industrial informatics, INDIN 2024

作者： Gong, Jiahui Chen, Jianjun Qi, Jun Zhang, Haiyang Department of Computing Xi’an Jiaotong-Liverpool University Jiangsu China

ISBN: (纸本)9798331527471

Container handling optimization in ports significantly influences logistics chain efficiency and cost control, vital for economic benefits. Traditional research prioritizes quay crane (QC) scheduling, while truck dynamic scheduling often ties directly to specific QCs, prolonging QC operation times and affecting port throughput and efficiency. To tackle this, the paper introduces a dynamic truck dispatching algorithm with two task allocation strategies. Experimental results reveal our algorithm reduces total QC makespan by 10.8% in general when compared to traditional methods and has increased effectiveness in large-scale problems. © 2024 ieee.

关键词： Heuristic algorithms

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Detecting Singular Value Decomposition-based WatermarkEmbedded Medical Images using ResNet Neural Network 2

Detecting Singular Value Decomposition-based WatermarkEmbedd...

引用

2nd ieee international conference on Advances in computing, Communication and Applied informatics, ACCAI 2023

作者： Abirami, R. Malathy, C. Srm Institute of Science and Technology School of Computing Department of Networking and Communications Kattankulathur603 203 India

ISBN: (纸本)9798350315905

Digital products copyright protection is a severe issue in the growth of network technology. The security of data, especially medical data, is of utmost importance. The growth of the internet gives easy access to transactional medical data. It causes image distortion and a high risk of misclassification among medical experts. Watermarking aims to protect information and provide authentication for data during transmission. Instead of the conventional method, the deep learning-based watermarking method gained benefits in information security. In this paper, Singular Value Decomposition transformation is applied for embedding watermark, and Resnet a deep-learning model is modified for detecting watermarked images. Watermarking algorithm ensures robust watermarking for medical images to detect changes even after some manipulations like cropping, compression, filtering rotation, and more. MSE, SSIM, and PSNR are some metrics for assessing image quality. © 2023 ieee.

关键词： Singular value decomposition

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Energy-Efficient and Intelligent Lighting Solutions: A Prototype for Smart Cities 6

Energy-Efficient and Intelligent Lighting Solutions: A Proto...

引用

6th international conference on Mobile computing and Sustainable informatics, ICMCSI 2025

作者： Ariff, Mohamed Imran Mohamed Razally, Batrisyia Qistina Azizan, Azilawati Ahmad, Samsiah Zulkifli, Zalikha Arshad, Noreen Izza College of Computing Informatics and Mathematics Universiti Teknologi MARA Perak Branch Tapah Campus Malaysia EMI Solutions Sdn Bhd C-43-2 Block C Jaya One 72A Jalan Universiti Section 13 Selangor Petaling Jaya46200 Malaysia Department of Computer and Information Sciences Universiti Teknologi PETRONAS Seri Iskandar Malaysia

ISBN: (纸本)9798331522667

This paper presents a Smart Street Lighting System (SSLS) aimed at improving energy efficiency and providing enhanced convenience for urban areas, with a particular focus on parking facilities. By employing light, rain, and motion sensors, the SSLS ensures precise control over lighting levels, optimizing energy use while enhancing safety and visibility. The system’s light sensors adjust illumination according to ambient conditions, minimizing energy waste during daylight hours. During rain, brightness levels are automatically elevated for better visibility, while motion sensors activate full brightness when movement is detected to guarantee safety. A dedicated mobile application offers users real-time control and monitoring of energy usage and lighting settings. Among its notable contributions are the implementation of an IoT-based adaptive lighting framework and a scalable design that has demonstrated up to 35% energy savings in varied urban environments. This innovative solution addresses key challenges in urban lighting, ensuring sustainability and reducing operational expenses. © 2025 ieee.

关键词： Rain

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Enhancing Security: Evaluating RFID Card Access Control Systems using SHA-256

Enhancing Security: Evaluating RFID Card Access Control Syst...

引用

2024 international conference on Innovation and Intelligence for informatics, computing, and Technologies, 3ICT 2024

作者： Yang, You Zhi Ramly, Athirah Mohd Sharif, Mhd Saeed Department of Computing and Information Systems Sunway University Selangor Malaysia School of Architecture Computing and Engineering UEL London United Kingdom Intelligent Technologies Research Group School of Architecture Computing and Engineering UEL London United Kingdom

ISBN: (纸本)9798331533137

This paper focuses on enhancing the security of a chosen system by implementing multiple layers of protection, including concealing sensitive data on the Liquid Crystal Display (LCD), utilizing hashed Unique Identifiers (UIDs), and deploying biometric dual-factor authentication via fingerprint recognition. The system is considered secure as it prevents unauthorized access attempts, even if the tag appears legitimate. The paper covers various stages, from component procurement to vulnerability assessment, exploitation, and solution development. While this paper significantly improves system security, further investigation remains crucial. Therefore, this paper not only addresses immediate security implementations but also paves the way for ongoing analysis and improvements aimed at defending the system against malicious threats while optimizing its performance. ©2024 ieee.

关键词： Liquid crystal displays

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Overview of Vehicle Edge computing and Its Security 6th

Overview of Vehicle Edge Computing and Its Security

引用

6th international conference on Security and Privacy in New computing Environments, SPNCE 2023

作者： Han, Shaodong Wang, Maojie Chen, Guihong Guangdong Polytechnic Normal University Guangzhou510635 China

ISBN: (纸本)9783031736988

The Internet of Vehicles (IoV) is a part of the Internet of Things (IoT). With the continuous development of the Internet of Things technology, the Internet of Vehicles technology has also made great progress. However, as more and more vehicles are connected to the Internet of Vehicles, the calculation and transmission of data in the Internet of Vehicles becomes more and more difficult, and at the same time, it is inevitable to face the pressure of data security and privacy protection. In order to solve the above problems, academia and industry have adopted many methods, combining mobile edge computing technology with the Internet of Vehicles to establish a vehicle edge computing network to solve the problems of data computing and transmission. Introducing blockchain technology and federated learning technology into vehicle edge computing. Therefore, the network addresses the issues of data security and privacy protection. Based on these, this paper summarizes the research results of many scholars in related fields, in order to provide reference and reference for subsequent related research. © ICST Institute for Computer Sciences, Social informatics and Telecommunications Engineering 2025.

关键词： Federated learning

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A Comprehensive Review on Machine Learning Advancements for Plant Disease Detection and Classification 6

A Comprehensive Review on Machine Learning Advancements for ...

引用

6th international conference on Intelligent computing in Data Sciences, ICDS 2024

作者： Almazrouei, Khawla Bonny, Talal College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates Technology Innovation Institute Autonomous Robotics Research Centre Abu Dhabi United Arab Emirates

ISBN: (纸本)9798350351200

Plant diseases still exist and spread despite technological advancements in disease prevention. It is still a major concern for humanity as it affects the economy of agriculture-based countries and the food supply chain for countries where food is mostly imported. Using pesticides and insecticides without proper knowledge of disease is also concerning as it will not prevent or cure plant disease and will have adverse environmental effects. It is of utmost importance to recognize plant diseases most effectively, and the recent development in machine learning and vision transformer techniques has made this possible. This review discusses the latest developments in machine learning and vision transformer techniques for detecting and categorizing plant diseases in detail. © 2024 ieee.

关键词： Adversarial machine learning

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AI Chatbots for Competency-Based Training in Programming Languages Courses 3

AI Chatbots for Competency-Based Training in Programming Lan...

引用

3rd international conference on Intelligent computing and Next Generation Networks, ICNGN 2024

作者： Nacheva, Radka Hristova, Iviana Department of Informatics University of Economics – Varna Varna Bulgaria

ISBN: (纸本)9798331529222

Competency-based training (CBT) is a specialized method for teaching programming languages, focusing on mastering new skills through time-based development. It emphasizes specialized skills in information and communication technologies (ICT), such as logic, syntax comprehension, debugging, and algorithm creation, rather than memorizing information. CBT provides a customized learning experience by integrating real-world problem-solving into the curriculum. AI-powered chatbots can track students' progress, target weaknesses, and offer immediate feedback. Benefits of CBT include increased skill competency, better retention rates, and improved student engagement. However, issues include the need for well-thought-out competence frameworks, resource-intensive implementation, and continuous evaluation of AI's contribution to education. In this sense, insights into best practices in applying CBT frameworks in computer science education are studied in this paper, as well as the integration of CBT with AI-powered chatbots in programming courses is proposed. ©2024 ieee.

关键词： Students

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A Transfer Learning-Based Intelligent Judiciary System for Public Safety

A Transfer Learning-Based Intelligent Judiciary System for P...

引用

2024 ieee international conference on Communications, computing, Cybersecurity and informatics, CCCI 2024

作者： Pathak, Lakshin Virani, Mili Obaidat, Mohammad S. Patel, Prachita Hathaliya, Jigna J. Jadav, Nilesh Kumar Tanwar, Sudeep Yamsani, Nagendar Nirma University Dept.of CSE Ahmedabad India School of Computer & Communication Engineering University of Science and Technology Beijing Beijing100083 China School of Computing SRM University Department of Computational Intelligence TN 603203 India School of Engineering The Amity University UP Noida201301 India Marwadi University Dept. of CE-AI Rajkot India SR University Department of CS & AI Telangana India

ISBN: (纸本)9798350349832

With the increasing prevalence of criminal activities, there is a growing need for effective crime detection methods leveraging modern technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and cloud computing. In this paper, we propose a transfer learning (TL)-based solution for criminal face detection using convolutional neural networks (CNNs) to improve public safety. Leveraging pre-Trained CNN models, we fine-Tune them on a dataset comprising images of known criminals and non-criminals. The proposed framework aims to mitigate the challenges associated with training CNNs from scratch, such as data scarcity and computational inefficien-cies. Experimental results demonstrate the effectiveness of the proposed framework in accurately identifying criminal faces, showcasing its potential for enhancing law enforcement efforts. We achieved the highest accuracy of 97% with the TL scheme. © 2024 ieee.

关键词： Convolutional neural networks

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Enhanced Authentication Protocol for Securing Internet of Medical Things with Lightweight Post-Quantum Cryptography 6

Enhanced Authentication Protocol for Securing Internet of Me...

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6th ieee international conference on Artificial Intelligence in Engineering and Technology, IICAIET 2024

作者： Man Lo, Chris Ka Tan, Soo Fun Chung, Gwo Chin Universiti Malaysia Sabah Cybersecurity Research Lab Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Universiti Malaysia Sabah Creative Advanced Machine Intelligence Research Centre Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Multimedia University Faculty of Enginerering Cyberjaya Malaysia

ISBN: (纸本)9798350389692

As the healthcare sector transitions to the Internet of Medical Things (IoMT), it promises significant improvements in productivity by streamlining processes, reducing administrative burdens, and automating routine tasks. However, the current authentication methods are vulnerable due to reliance on simple passwords and a lack of additional protective layers, posing a heightened risk of data breaches. Given the significant value of medical data, security measures for medical devices remain inadequate, especially in safeguarding user and device identities against future quantum computing threats. This paper proposes an enhanced authentication protocol aimed at ensuring the confidentiality and integrity of medical data. The protocol validates user and device identities while incorporating post-quantum cryptography to address upcoming challenges posed by quantum technology. © 2024 ieee.

关键词： Quantum computers

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