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

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Secure Audio Steganography with Reversible Data Hiding and Encryption 6

Secure Audio Steganography with Reversible Data Hiding and E...

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

作者： Arthy, P.S. Sanjai Kumar, K. Vinson Joshua, S. Sahaana, G. Kalpana, R. Ponkumar, D. David Neels Siamala Devi, S. Jeya Lakshmi, S. Department of Electronics and Communication Engineering Sri Sai Ram Institute of Technology Tamil Nadu Chennai India Department of Artificial Intelligence and Data Science Dhanalakshmi College of Engineering Tamil Nadu Chennai India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India Department of Electronics and Communication Engineering Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Avadi Tamil Nadu Chennai India Sri Eshwar College of Engineering Tamil Nadu Coimbatore India Iconix Software Solution Tamil Nadu Tirunelveli India

ISBN: (纸本)9798331522667

This research study enhances secure data transmission by embedding sensitive information within audio files. Using Python for the frontend and PHP with MySQL as the backend, this approach employs reversible data hiding (RDH) to ensure that the original content of the audio file can be fully restored. Audio steganography is used to conceal encrypted messages within a WAV file, leveraging its varying compression rates for optimal steganographic performance. The Least Significant Bit (LSB) technique, a widely used method, embeds the hidden message into the audio stream without noticeable distortion. In this system, the secret message is scrambled, divided into segments, and embedded in even-value bytes of the audio file, with the first bit position chosen randomly for enhanced security. A permutation codebook is employed to rearrange and decrypt the message during recovery, ensuring both data confidentiality and complete reversibility of the audio file. This method provides a secure, efficient solution for transmitting sensitive information through audio channels. © 2025 IEEE.

关键词： Steganography

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A Concept for Accelerating Long-Term Prototype Testing Using Anomaly Detection and Digital Twins 15

A Concept for Accelerating Long-Term Prototype Testing Using...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Nebel, Vincent Goßrau-Lenau, Pia Agarwal, Harshvardhan Werth, Dirk August-Wilhelm Scheer Institute for Digital Products and Processes GGmbH Saarbrücken Germany Technology Center Drives Miele & Cie. KG Euskirchen Germany

ISBN: (纸本)9789897587474

Developing mechanical components, especially complex assemblies like pumps, is a resource and time intensive process. Testing pump prototypes for long-term durability is critical to ensure error-free operation of the final product. Prototypes undergo material and operational tests to determine their expected lifespan, focusing on defects caused by material degradation and water contamination. Long-term tests, lasting months, are necessary to simulate real-world conditions, but limited test bench capacities create bottlenecks, restricting material experimentation. Moreover, monitoring the internal state of pumps during tests is challenging. Undetected defects can worsen or trigger secondary issues, complicating the root cause analysis, which provides valuable information for further product improvements. To address these challenges, a digital twin that integrates geometry and material data, simulations, and sensor measurements was developed. This twin is used as data source for machine learning based anomaly detection, allowing tests to stop sooner and preventing further damage when first signs of a defect are detected. A modular serverless architecture is used to host the model inference on the cloud, improving resource usage and scalability as well as reducing operational costs. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： River pollution

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An efficient multi-modal fusion bird's-eye view 3D object detection algorithm 5

An efficient multi-modal fusion bird's-eye view 3D object de...

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5th international conference on Signal Processing and Computer Science, SPCS 2024

作者： Zheng, Ke Li, Qingxia Zhao, Chunsheng Tian, Chuanyin CATARC Intelligent & Connected Technology Co. Ltd. Tianjin300393 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

At present, the perception method based on bird's-eye view has become the mainstream of autonomous driving perception. It realizes comprehensive perception of the vehicle's surrounding environment by fusing multiple sensors at the feature level. However, the existing multi-modal fusion perception methods based on bird's-eye view usually require extremely high computing resources, especially in the multi-camera view image conversion processing. In addition, the key to multi-modal bird's-eye view perception lies in how to efficiently fuse point cloud features and image features. To address these defects, this paper proposes a novel multi-modal bird's-eye view perception algorithm. First, this paper proposes an index lookup calculation method for the conversion of multi-view image features to bird's-eye view perspective. This method greatly reduces the consumption of computing resources without basically reducing information. Secondly, this paper proposes a feature fusion method, which uses a cross-modal attention mechanism to enhance the interaction between different modal features, realize dynamic spatiotemporal alignment and fusion. Experimental results show that the method proposed in this paper can effectively perceive the environment and can be deployed on a real vehicle platform for real-time detection. © 2025 SPIE.

关键词： Image enhancement

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Next-Gen Dermatology: Revolutionizing Dermatological Diagnostics with AI and Emergency Care Solutions 3

Next-Gen Dermatology: Revolutionizing Dermatological Diagnos...

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3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Yashas, D. Kashyap, M. Shivani Charan, P.R. Hemanth Kumar, G.P. Abhishek, B.K. Deekshith, C. New Horizon College of Engineering Dept of Artificial Intelligence and Machine Learning Bengaluru India New Horizon College of Engineering Dept of Information Science and Engineering Bengaluru India Bnm Institute of Technology Dept of Artificial Intelligence and Machine Learning Bengaluru India Siddaganga Institute of Technology Dept of Artificial Intelligence and Data Science Tumkur India Vidyavardhaka College of Engineering Dept of Computer Science and Engineering Mysore India

ISBN: (纸本)9798331515911

Skin health conditions should be diagnosed and treated on time so as to prevent complications and promote better health results. This paper presents an AI-based system that makes use of Convolutional Neural Networks with the InceptionV3 Architecture for predicting skin diseases at higher levels. The model, which is based on the large DermaNet dataset, classifies skin disorders fast and effectively. The system is coupled with a simple Telegram based application for the users to get a complete solution. A user can upload a photo of the affected skin area and get a diagnosis within seconds, an explanation of the disease and how severe it is in percentage. The bot also has a location and contact sharing feature that assists users in finding nearby doctors and clinics that can provide further assistance. It further provides on the spot appropriate cures for the particular condition diagnosed. Moreover, this makes it possible for the customer to fill the healthcare void in particular the neglected ones by making it easy for them to access real time high quality services. By equipping users with relevant information and appropriate actions required at the right time, this project has showcased how AI has the ability to transform the dermatological field. © 2025 IEEE.

关键词： Convolutional neural networks

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Research on Public Opinion of Product Quality and Safety information Based on Crawler Retrieval technology 1

Research on Public Opinion of Product Quality and Safety Inf...

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1st international conference on Intelligent Manufacturing and Cloud computing, ICIMCC 2024

作者： Lu, Yuwei China National Institute of Standardization Beijing China

ISBN: (纸本)9781643685779

This study, from the perspective of online public opinion, uses web crawler retrieval technology and manual screening, and adopts targeted collection and information extraction from online public opinion monitoring platforms to sort out websites directly related to product quality. It monitors, analyzes, and summarizes product quality and safety information from 31 provinces in China, points out existing problems, and proposes corresponding countermeasures and suggestions. The monitoring results show that in 2023, public opinion information on product quality and safety is mostly concentrated in the eastern region, as well as product categories such as electrical appliances, automobiles, and daily chemical products. Quality and safety issues are currently the focus of social attention on people's livelihoods. Therefore, relevant regulatory authorities should further strengthen product quality and safety supervision, crack down severely on quality violations, improve product quality and safety levels, prevent product quality incidents, and effectively safeguard the declaration and property safety of the people. © 2025 The Authors.

关键词： Web crawler

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3D information in Robot Vision System Based on Artificial Neural Network 14th

3D Information in Robot Vision System Based on Artificial Ne...

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14th international conference on Frontier computing, FC 2024

作者： Liu, Xiaoxiao Department of Mechanical and Electrical Engineering Jinan Engineering Vocational Technical College Shandong Jinan China

ISBN: (纸本)9789819627974

In the exploration of robot vision systems based on artificial neural networks, the research mainly focuses on their applications in 3D information recognition and processing. By simulating the processing of the human visual system, this technology enables robots to more effectively interpret and understand the three-dimensional spatial information of their environment, which has a revolutionary role in robot navigation, object recognition, obstacle avoidance and the execution of complex tasks. And this technology shows great potential in many fields such as industrial automation, autonomous vehicles, drone monitoring, and service robots. Not only that, it also plays a very important role in providing in-depth information, accurate positioning and efficient decision-making applications. According to the experimental data, among the 800 experimental subjects, more than 754 people were satisfied with the recognition accuracy, recognition speed, machine efficiency improvement, image recognition clarity, and overall satisfaction with the system. These findings indicate that with the continuous advancement of technology, 3D vision systems based on artificial neural networks will show more significant performance and value in future applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Machine vision

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An international Examination of Non-Technical Skills and Professional Dispositions in computing - Identifying the Present Day Academia-Industry Gap 2024

An International Examination of Non-Technical Skills and Pro...

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29th Working Group Reports on Innovation and technology in Computer Science Education, ITiCSE WGR 2024

作者： Garcia, Rita Csizmadia, Andrew Pearce, Janice L. Alshaigy, Bedour Glebova, Olga Harrington, Brian Liaskos, Konstantinos Lunn, Stephanie J. Mackellar, Bonnie Nasir, Usman Pettit, Raymond Schulz, Sandra Stewart, Craig Zavaleta Bernuy, Angela School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand Newman University Birmingham United Kingdom Berea College BereaKY United States Department of Information Technology Uppsala University Uppsala Sweden University of Connecticut StorrsCT United States Computer and Mathematical Sciences University of Toronto Scarborough Toronto Canada University of Strathclyde United Kingdom SUCCEED Florida International University MiamiFL United States Computer Science Mathematics and Sciency St John's University Queens United States Blekinge Institute of Technology Karlskrona Sweden University of Virginia CharlottesvilleVA United States Faculty of Education University of Hamburg Hamburg Germany Durham University Durham United Kingdom University of Toronto Toronto Canada

ISBN: (纸本)9798400712081

computing graduates are frequently reported by members of industry to lack in professional dispositions and/or non-technical skills (often referred to as "soft skills"). In this work, we conduct a gap analysis of the alignment between academic preparation and industry expectations through a three-pronged study. First, a literature review explored the academic perspective of how fostering professional dispositions and non-technical skills occurs in tertiary computing education. Second, a literature review identifying industry's expectations of those dispositions and skills for entry-level computing professionals. Finally, a mixed-methods approach, combining a survey and structured interviews of computing industry professionals to identify their opinions on the relative importance of those skills and dispositions. In each of these prongs, we additionally consider whether and how Diversity, Equity, Inclusion, and Accessibility (DEIA) may have been approached and/or incorporated. Our work uncovers a number of gaps. Several skills and dispositions, such as leadership, ethics, and inventiveness, are over-represented in the academic literature compared to industry's expectations, while others such as lifelong learning and professionalism are under-emphasised. Furthermore, some terms such as 'ethics' and 'professionalism' are defined differently by various stakeholder groups, leading to a gap between academic training and industry expectations. Finally, several skills and dispositions, such as collaboration, teamwork, communication, and leadership show evidence of exposure in academia, but require more scaffolded instruction to meet industry expectations. We also found a dearth of coverage in the literature and a lack of focus in industry for DEIA considerations. © 2025 ACM.

关键词： DEIA

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Quantum Resistance Blockchain Algorithm using QHF and Novel Consensus Mechanism

Quantum Resistance Blockchain Algorithm using QHF and Novel ...

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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Paul, Soumyadip Mazumdar, Mausumi Maitra Chakraborty, Sarit Government College of Engineering & Ceramic Technology Dept. of Information Technology Kolkata700010 India Government College of Engineering and Leather Technology Department of Computer Science and Engineering Kolkata700106 India

ISBN: (纸本)9798331529833

The emergence of quantum computing poses a significant threat to the security of traditional blockchain systems, which rely heavily on classical cryptographic algorithms. To safeguard the integrity and reliability of blockchain technology in the upcoming era, this work proposes a novel quantum-resistant blockchain architecture. This approach integrates a robust consensus mechanism, with advanced quantum cryptographic primitives, including quantum digital signatures based on a Quantum Hash Function (QHF). Incorporating a quantum hash function enhances the blockchain resistance, providing an additional layer of security against quantum attacks. By combining these elements, our method creates a blockchain system fortified against the potential vulnerabilities introduced by quantum computers. The proposed solution leverages the power of QHFs to safeguard transaction integrity, while the consensus mechanism ensures the reliability and decentralization of the network. This paper also delves into the theoretical underpinnings of quantum blockchains, exploring their design, feasibility, and potential applications, emphasizing their promising future, particularly in areas such as decentralized identity authentication. Finally, it contributes to the development of a secure and resilient blockchain ecosystem capable of thriving in the coming era. © 2025 IEEE.

关键词： Quantum computers

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A Federated Learning Network Intrusion Detection System for Multiple Imbalances

A Federated Learning Network Intrusion Detection System for ...

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2025 IEEE international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Zeng, Yifan Zheng Li, Jian School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics Kunming China Jinan China

ISBN: (纸本)9798350368741

Centralized training of deep learning-based network intrusion detection systems (DLNIDS) raises privacy concerns and incurs huge overhead. Federated learning (FL), while preserving privacy, confronts challenges including size imbalance, heterogeneous and global imbalance. To address these issues, this paper proposes a Self-Balancing Federated learning Network Intrusion Detection System (SBFedNIDS) for accurate and efficient network intrusion detection while preserving privacy and tackling negative impact caused by multiple imbalances resulting from FL. SBFedNIDS can efficiently mitigate model bias cause by multiple imbalances and addresses imbalances at data-level via federated cost sensitive learning (FCSL) and client synthetic minority over-sampling technique (CSMOTE), without requiring additional training resources, unlike generative models. Extensive experiments on a benchmark dataset show that SBFedNIDS outperforms baselines in multiple unbalanced scenarios and even surpasses centralized training in several settings. © 2025 IEEE.

关键词： Data Imbalance Deep Learning Federated Learning Network Intrusion Detection

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The Multi-Way Path Over the Blockchain: The Development of the Security Algorithm RB-24-1 6

The Multi-Way Path Over the Blockchain: The Development of t...

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

作者： Rajaprakash, S. Bagath Basha, C. Rathish Babu, T.K.S. Karthik, S. Subapriya, V. Kavitha, S. Department of Computer Science & Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Department of Computer Science & Engineering Kommuri Pratap Reddy Institute of Technology Telagana Hyderabad India Department of Computer Science & Engineering SRM Institute of Science and Technology Ramapuram Tamil Nadu Chennai India Department of Computer Science & Engineering Aarupadai Veedu Institute of Technology Vinayaka Missions Research Foundation Tamil Nadu Chennai India Department of Computer Science & Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

In the current world, a lot of new technologies are becoming famous. The Block Chain is one of these technologies. A very high amount of safety is offered by the technology in question;it is extremely robust. Users are not privy to a great deal of information regarding Block Chain;however, Protecting the data that is sent in multiple ways is what its security features are for. The "SalSa and RBJ25 algorithms" were still being used by this person. We are going to talk about the new "security mechanism" we have named RB-24-1. This method is comprised of these four different techniques. The procedure begins with the "Latin Alphabet code" being assigned to T. This is the first step in the process. To proceed to the next step, use Equation (1) to perform four times the multiplication of the number by itself. "Exchanging the values of the cells" is what the third step does., and it is carried out with the help of encrypted data. Putting the "SalSa" algorithm into action within the matrix constitutes the fourth step throughout the process. Finally, the plain text is converted into the encrypted text format. This has been a long time coming. There is a higher level of security offered by the method that has been suggested in compare and contrast with the method that is being used at the moment. © 2025 IEEE.

关键词： Encryption algorithms

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