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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

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A Hybrid Approach Using Cryptography and K-Least Significant Bit Steganography Algorithm in Cloud computing

A Hybrid Approach Using Cryptography and K-Least Significant...

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Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), international conference on

作者： Anshika Goyal Bhumika Gupta Dept. of Computer Science & Engineering VMSB Uttarakhand Technical University Dehradun India Dept. of Computer Science & Engineering G.B. Pant Institute of Engineering & Technology Pauri India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit Steganography algorithm in Cloud computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman Compression coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-Stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT).

关键词： Cloud computing Steganography Image coding Computational modeling Data models Encoding Communications technology Encryption Cryptography Huffman coding

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A novel polar codes construction method for OFDM hydroacoustic communication system under t-distribution noise 4

A novel polar codes construction method for OFDM hydroacoust...

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4th international Computational Imaging conference, CITA 2024

作者： Jiangfeng, Xian Zhisheng, Li Huafeng, Wu Xiaojun, Mei Xinqiang, Chen Yuanyuan, Zhang Linian, Liang Qiannan, Zhang Weijun, Wang Institute of Logistics Science and Engineering Shanghai Maritime University Shanghai201306 China Merchant Marine College Shanghai Maritime University Shanghai201306 China School of Computer Information and Engineering Changzhou Institute of Technology Changzhou213032 China Navigation College Jimei University Xiamen361021 China

ISBN: (纸本)9781510688834

To overcome the strong multipath and significant time-varying characteristics of the hydroacoustic channel, this study designs a polar codes-based hydroacoustic high-rate and highly reliable communication system. Specially, our work presents a novel polar codes construction method, named the Base-adversarial PW (BPW) method, as the construction scheme of the polar codes. Also, the t-distribution noise, which fits the actual ocean noise, as the noise model, and completes the simulation under the Invariable Sound Velocity Gradient (ISVG), Negative Sound Velocity Gradient (NSVG) and Positive Sound Velocity Gradient (PSVG) channels. Simulation results demonstrate that the proposed construction scheme is feasible and effective under hydroacoustic channel conditions, overcomes the performance limitations of the Gaussian approximation method, and outperforms LDPC codes. © 2025 SPIE.

关键词： Channel coding

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Enhancing Long-range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-based Sentiment Analysis 31

Enhancing Long-range Dependency with State Space Model and K...

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31st international conference on Computational Linguistics, COLING 2025

作者： Lawan, Adamu Pu, Juhua Yunusa, Haruna Umar, Aliyu Lawan, Muhammad School of Computer Science and Technology Beihang University Beijing China National Research Institute for Teaching Materials in Information Science and Tech. China School of Automation Science and Electrical Engineering Beihang University Beijing China School of Computing University of Portsmouth Portsmouth United Kingdom Department of Information and Communication Technology Federal University Gusau Nigeria

ISBN: (纸本)9798891761964

Aspect-based Sentiment Analysis (ABSA) evaluates sentiments toward specific aspects of entities within the text. However, attention mechanisms and neural network models struggle with syntactic constraints. The quadratic complexity of attention mechanisms also limits their adoption for capturing long-range dependencies between aspect and opinion words in ABSA. This complexity can lead to the misinterpretation of irrelevant contextual words, restricting their effectiveness to short-range dependencies. To address the above problem, we present a novel approach to enhance long-range dependencies between aspect and opinion words in ABSA (MambaForGCN). This approach incorporates syntax-based Graph Convolutional Network (SynGCN) and MambaFormer (Mamba-Transformer) modules to encode input with dependency relations and semantic information. The Multihead Attention (MHA) and Selective State Space model (Mamba) blocks in the MambaFormer module serve as channels to enhance the model with short and long-range dependencies between aspect and opinion words. We also introduce the Kolmogorov-Arnold Networks (KANs) gated fusion, an adaptive feature representation system that integrates SynGCN and MambaFormer and captures non-linear, complex dependencies. Experimental results on three benchmark datasets demonstrate MambaForGCN's effectiveness, outperforming state-of-the-art (SOTA) baseline models. © 2025 Association for Computational Linguistics.

关键词： Semantics

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A Lightweight and Efficient ECDSA Core for FPGA-Based Edge-AI Platforms

A Lightweight and Efficient ECDSA Core for FPGA-Based Edge-A...

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4th international conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Cuong Pham-Quoc Ho Chi Minh City Univ Technol HCMUT 268 Ly Thuong Kiet StDist 10 Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City VNU HCM Ho Chi Minh City Vietnam

ISBN: (纸本)9783031834318;9783031834325

Data security and integrity are crucial across various domains, particularly in Edge-AI applications like healthcare and intelligent systems. Security concerns intensify when deploying AI at the edge due to sensitive data being processed locally rather than in cloud services. Cryptographic algorithms are usually employed on Edge-AI platforms to ensure data integrity and protect confidential data. Among the most effective approaches for developing digital signature algorithms (DSA), elliptic curve cryptography (ECC) stands out. In our research, we designed and implemented a dedicated hardware computing core for DSA using the ECDSA algorithm. This core accelerates processing throughput on FPGA-based edge-AI platforms. We implemented the proposed system on an Edge-AI platform powered by a Xilinx FPGA Zynq UltraScale+ chip called Kria KV260. Experimental results, using a dataset certified by the National Institute of Standards and technology (NIST), demonstrate that throughput by up to 1,680 signatures per second and 1.23 Mbps have been achieved with the prototype system.

关键词： FPGA-based Edge-AI Hardware/software codesign ECC ECDSA Edge computing IoTs

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Social Robots - Robotics and Toy computing Minitrack 58

Social Robots - Robotics and Toy Computing Minitrack

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58th Hawaii international conference on System Sciences, HICSS 2025

作者： Hung, Patrick C.K. Huang, Shih-Chia Peres, Sarajane Marques Lee, Ha-Eun Yoon, Young Faculty of Business and Information Technology Ontario Tech University Canada Department of Electronic Engineering National Taipei University of Technology Taiwan School of Arts Sciences and Humanities University of Sao Paulo Brazil Department of AI Immersive Content Hongik University Korea Republic of Department of Computer Engineering Hongik University Korea Republic of

ISBN: (纸本)9780998133188

This HICSS-58 mini-track aims to present novel and industrial solutions to challenging technical issues of Human-Robot Interaction (HRI) and compelling social robot use cases. In addition, this mini-track will share related practical experiences to benefit the reader and provide clear proof that social robots play an ever-increasing essential and critical role in supporting robotic and toy computing applications - a new cross-discipline research topic in computer science, decision science, management sciences, and information systems. This year, we also have a symposium on Social Robots and Smart Toys at HICSS-58, which is co-organized with MR Media Lab, Hongik University, Korea. © 2025 IEEE Computer Society. All rights reserved.

关键词： Social robots

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Facial Recognition and Manual Verification Automation Device for polling booths (DigiVoter) 12th

Facial Recognition and Manual Verification Automation Device...

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12th international conference on Recent Trends in computing, ICRTC 2024

作者： Sudhakaran, Pradeep Rekha, V. Sindhu, V. Preetha, M. Deluxni, N. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Tamil Nadu Kattankulathur India Agurchand Manmull Jain College Tamil Nadu Chennai India Department of Information Technology Sri Krishna College of Engineering and Technology Tamilnadu Coimbatore India Career Development Centre SRM Institute of Science and Technology Tamil Nadu Kattankulathur India

ISBN: (纸本)9789819789450

In democratic societies, the efficiency and integrity of the voting process are paramount. The DigiVoter system presents an innovative approach to addressing the longstanding challenges of voter verification at polling booths, which have been identified as significant barriers to voter turnout and operational efficiency. By integrating facial recognition technology powered by OpenCV with a blockchain-based data storage solution, DigiVoter aims to automate and secure the voter verification process, thereby reducing queue times from the current average of 7 min to under 2 min. This paper explores the development and implementation of DigiVoter, emphasizing its potential to streamline the electoral process, enhance data security, and increase voter participation. The use of OpenCV allows for accurate and swift voter identification, while the blockchain component ensures the integrity and immutability of voting records, addressing concerns about data tampering and privacy. Preliminary results indicate that DigiVoter can significantly improve the voting experience, suggesting a promising avenue for leveraging technology to support democratic engagement. Through this exploration, the paper highlights the critical role of innovative technologies in overcoming obstacles to voting, with the ultimate goal of fostering a more inclusive and efficient electoral system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain

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Genetic Algorithm Based Deterministic Workflow Scheduling with Load Balancing 2

Genetic Algorithm Based Deterministic Workflow Scheduling wi...

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2nd international conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Mittal, Punit Kumar, Satender Sharma, Swati Department of Computer Science and Engineering Quantum University Roorkee India Department of Information Technology Meerut Institute of Engineering and Technology Meerut India

ISBN: (纸本)9798331530389

A crucial problem in cloud computing is load balancing, which makes it challenging to guarantee that services operate as intended in accordance with quality of service (QoS), performance reviews, and service contracts that cloud service providers (CSPs) demand of businesses. The main goal is to distribute workloads among computer resources in order to improve performance. Load balancing is categorized as an "NP-hard" problem due to the ample solution space and the time needed to identify the optimal solution. While only a few approaches may provide an exact answer in polynomial time, prior research shows that metaheuristic-based tactics can find correct solutions in a fair amount of time. We use a framework that integrates Neural Network Task Classification (N2TC) and Genetic Algorithm Task Assignment (GATA) for load balancing. By taking load balancing and task completion time into account, this approach seeks to maximize load distribution and reduce process execution time. Extensive simulations of application operations were carried out to evaluate the effectiveness of the suggested load-balancing strategy. Results have shown that the proposed framework outperforms tournament selection genetic algorithm (TSGA), Heterogeneous Earliest Finish Time (HEFT), and Performance Effective Task Scheduling (PETS) heuristics in terms of load balancing up to 4.52% and makespan by 6.47%. © 2025 IEEE.

关键词： Genetic algorithms

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5G to 6G Shaping and Effect of the Wireless Data Transmission 1

5G to 6G Shaping and Effect of the Wireless Data Transmissio...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Walia, Anita Das, Neeraj Department of CETT Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

Digital advancement and smart production have been made possible via artificial intelligence (AI) and computing in the cloud (CC) because of the fifth-generation wireless network (5G), which is a key enabler of the fourth industrial revolution. Nevertheless, beyond 5G (B5G) is seen as a watershed moment that will radically alter current worldwide tendencies in mobile phone practices and impact the lives of many. Physical and digital worlds will eventually merge, according to B5G. The focus of this research is on the future of technology for wireless communications, specifically the evolution from 5G into 6G. Still, mankind hasn't arrived to the age of instantaneous contact with aliens, lightning-fast internet, plus zero latency, despite a number of advancements. In order to accomplish these more elevated goals, this article investigates the potential obstacles and hurdles that the shift from 5G to 6G may encounter. The article lays out the plan for 6G, the enabling infrastructures, the problems, and the research that will lead to the realization of the 'technology for humanity' goal and improved assistance for the poor. © 2025 IEEE.

关键词： 5G mobile communication systems

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Safe Spaces Analysis for Mental Health 12th

Safe Spaces Analysis for Mental Health

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12th international conference on Recent Trends in computing, ICRTC 2024

作者： Kelawala, Harsh Shah, Zeal Selvaraj, P. Department of Computing Technologies College of Engineering and Technology Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur 603203 India

ISBN: (纸本)9789819789450

Mental health is a paramount concern in contemporary urban environments, necessitating comprehensive approaches to understanding its determinants and formulating effective interventions. This research project adopts a multifaceted methodology to explore the factors influencing mental well-being in urban areas, specifically focusing on cities within Gujarat. By integrating Geographic information Systems (GIS) technology and predictive modeling techniques, we analyze various socio-environmental factors spanning air quality, noise pollution, green space availability, educational attainment, population density, income levels, and employability. At the same time, the GIS approach encompasses all major cities across India, the Random Forest algorithm is tailored specifically to the cities of Gujarat, reflecting the unique socio-geographical context of the region. Through rigorous data analysis and visualization, we identify spatial patterns and correlations, enabling the identification of areas most vulnerable to mental health challenges and prioritizing targeted interventions. This work presents our research's methodology, findings, and implications, offering valuable insights for policymakers and stakeholders striving to cultivate safe and supportive urban environments conducive to optimal mental health outcomes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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A Comparative Analysis of Population-Based Algorithm for Optimizing Cost and Makespan for Task Scheduling in Cloud–Fog Environment 3rd

A Comparative Analysis of Population-Based Algorithm for Opt...

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3rd international conference on computing and Communication Networks, ICCCN 2023

作者： Sharma, Shivam Verma, Amandeep Department of Information Technology University Institute of Engineering and Technology Chandigarh India

ISBN: (纸本)9789819726707

As cloud computing makes the use of services and various resources easier for the user, there has been a growing need for efficient and quick resource utilization and services to enhance the performance and that is what fog computing comes in. Fog computing is an extension of cloud computing that takes place at the network's edge. Simply described, it is a hybrid combination of cloud computing and the Internet of things. It is a highly virtualized platform that connects end devices to standard cloud servers and delivers computation, storage, and networking services. Various task scheduling algorithms are used to schedule the tasks at fog nodes that increase the performance of the system. Task scheduling algorithms are classified into stochastic, deterministic, and hybrid algorithms. Our work depicts a performance evaluation of three population-based optimization algorithms which are used for workflow scheduling in a combination of cloud and fog environment. The following algorithms were used to perform the comparison: particle swarm optimization (PSO), genetic algorithm (GA), and a hybrid combination of PSO and GA. The evaluation function consists of three parameters: makespan, cost, and energy. Also, the performance of these algorithms is analyzed by varying the cloud nodes and fog nodes by keeping the number of end devices fixed. The simulator used for the comparative evaluation is the recently proposed FogWorkflowSim. The research proves that hybrid algorithm of the PSO-GA algorithm performs better than the traditional PSO and GA algorithms in terms of cost and makespan. In future, performance will be evaluated by increasing the number of tasks and more workflows would be added to evaluate the performance. The algorithms would be evaluated against the deadline for workflows. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Scheduling algorithms

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