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11th IEEE International Conference on Advances in Computing and communications, ICACC 2024

作者： Sarika, S.P. Paul, Arya Kumar, Ajay George, Anju Adi Shankara Institute of Engineering & Technology Electronics & Communication Engineering Ernakulam India

ISBN: (纸本)9798350379136

The field of cybersecurity has witnessed a growth in the breadth and intricacy of cyber threats due to the advancement of communication technology, which calls for the implementation of strong network intrusion detection systems (NIDS). Regrettably, a wide range of potential hazards might put computer users at risk when using the Internet. Users stand to lose a great deal, including control over machines, private information, and potentially even identity theft. The ongoing problem of inconsistent and changing threat data persists despite notable improvements in NIDS models. As more and more research has realized the need for improved detection skills, artificial intelligence (AI) has become a viable answer. In order to meet the challenges presented by emerging cyber threats, this study presents a thorough investigation into the integration of AI, specifically generative adversarial networks (GANs), into NIDS. GANs are a machine learning breakthrough that provides a fresh method for creating new data instances that closely mimic real data. This skill is especially useful in the context of network intrusion detection systems (NIDS), where identifying anomalies necessitates a sophisticated comprehension of intricate and dynamic threat patterns. Our study expands on earlier research in the field that mostly concentrated on deep learning methods like autoencoders, convolutional neural networks (CNN), and long short-term neural networks (LSTM), as well as conventional machine learning models like decision trees (DT) and support vector machines (SVM). Although these methods have shown potential, there hasn't been much of a practical use for them in actual NIDS systems. A promising approach to improving NIDS performance is provided by the suggested NIDS makes use of GANs, especially when it comes to anomaly detection. Through the creation of artificial data instances that closely resemble real-world threats, GANs can enhance the resilience and flexibility of NIDS in dynami

关键词： Network intrusion

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Joint Watermarking and Encryption for Social Image Sharing

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Computers, Materials & Continua 2025年第5期83卷 2927-2946页

作者： Conghuan Ye Shenglong Tan Shi Li Jun Wang Qiankun Zuo Bing Xiong School of Information Engineering Hubei University of EconomicsWuhan430205China School of Computer and Communication Engineering Changsha University of Science&TechnologyChangsha410114China

With the fast development of multimedia social platforms,content dissemination on social media platforms is becomingmore *** image sharing can also raise privacy *** encryption can protect social ***,most existing image protection methods cannot be applied to multimedia social platforms because of encryption in the spatial *** this work,the authors propose a secure social image-sharing method with watermarking/fingerprinting and ***,the fingerprint code with a hierarchical community structure is designed based on social network ***,discrete wavelet transform(DWT)from block discrete cosine transform(DCT)directly is *** that,all codeword segments are embedded into the LL,LH,and HL subbands,*** selected subbands are confused based on Game of Life(GoL),and then all subbands are diffused with singular value decomposition(SVD).Experimental results and security analysis demonstrate the security,invisibility,and robustness of our ***,the superiority of the technique is elaborated through comparison with some related image security *** solution not only performs the fast transformation from block DCT to one-level DWT but also protects users’privacy in multimedia social *** the proposed method,JPEG image secure sharing in multimedia social platforms can be ensured.

关键词： Multimedia security digital watermarking image encryption image sharing privacy protection

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Intelligence Surveillance Robot for Bug Detection

Intelligence Surveillance Robot for Bug Detection

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2024 International Conference on communication, Computing and Internet of Things, IC3IoT 2024

作者： Lakshmi Devi, R. Sangeetha, K. Subhashini, K. Visshnu Priya, R.V. Suvetha, M.M. Sowmiya, S. Sri Sai Ram Institute Of Technology Department Of Electronics And Communication Engineering India Sri Sairam Engineering College Department Of Electronics And Communication Engineering India

ISBN: (纸本)9798350352689

The primary reason for the decline in the quality and efficiency of agricultural products worldwide is insect infestations. Even while pesticides are commonly used to eradicate these pests, they can have detrimental effects on the environment, human health, and ecosystems. It's critical to monitor the crops and protect them from outside influences. One of the quickly evolving fields of technology that will impact travel, work, and exploration practices in the future is robotics. Robots will prove to be quite beneficial if they are utilized for insect identification, area monitoring, impact prediction, and surrounding observation. If a robot can do all of these things at once, it will be very useful. The proposed robot is one such solution that completes all duties and aids in preventing unintended loss. The proposed robot will monitor the environment and environmental parameters like humidity, temperature, nutrients in the soil which also helps to know more about the plant's health. The robot also allows remote access and monitoring and also have a structured bug reporting system along with dynamic alerts and notifications making it very user friendly. © 2024 IEEE.

关键词： Image processing

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Forecasting Analysis of Hourly Temperature using LSRU Based Hybrid Deep Learning Model 3

Forecasting Analysis of Hourly Temperature using LSRU Based ...

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3rd International Conference on Advancement in Electrical and Electronic engineering, ICAEEE 2024

作者： Karim, Md. Ebtidaul Hossan, Arif Foysal, Md. Alom, Md. Khorshed Shabneen, Rushmila Khulna University of Engineering & Technology Department of Electronics and Communication Engineering Khulna Bangladesh

ISBN: (纸本)9798350388282

Over the years due to various human-made and natural disasters, there is a sharp change in the temperature pattern across the planet. A minimal sudden increase or decrease in the natural temperature pattern imposes a significant threat to the natural habitat, crop production, energy demand, etc. With the gradual shift of air temperature patterns in recent years, the precise forecasting of future temperature data is grabbing the attention of researchers. Due to the nonlinear essence of the temperature data, prediction models based on recurrent neural networks (RNNs) are commonly employed. In this work, a hybrid deep learning-based model named LSRU has been proposed which is a combination of Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) models;to accurately forecast the hourly temperature. Here a detailed systematic study of all the commonly used RNN-based prediction models in the field of temperature prediction along with our proposed model is conducted. A complete ablation study has been conducted to explore the importance of the inclusion of the 1D-Convolutional Neural Network (CNN) layer in the prediction models. The experimental findings demonstrate the superior performance and stability of our proposed model compared to other state-of-the-art RNN models, across both short-term and long-term forecasting intervals. © 2024 IEEE.

关键词： Long short-term memory

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A Hybrid Framework for Secure communication Integrating HMAC and GAN Algorithm

A Hybrid Framework for Secure Communication Integrating HMAC...

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2024 International Conference on Science, technology, engineering and Management, ICSTEM 2024

作者： Thangaraju, Dineshkumar Asokan, R. Rubini, S. Savitha, C. Nihashini, C. Department of Electronics and communication Engineering Kongunadu College of Engineering and Technology Trichy India

ISBN: (纸本)9798350376913

The exponential growth of sensitive data transmitted across insecure public networks necessitates the development of robust security solutions. This paper proposes CRYPTO-STEGO, a novel hybrid framework that synergistically integrates cryptographic and steganographic techniques to bolster communication security. CRYPTO-STEGO leverages Hash-based Message Authentication Code (HMAC) for data encryption, ensuring confidentiality and integrity. Additionally, it utilizes Generative Adversarial Network (GAN) for imperceptible data embedding within an image carrier. This symbiotic integration offers comprehensive data protection by guaranteeing confidentiality, integrity, and authenticity. HMAC safeguards data integrity and authenticity, while GAN cloaks the data within the image, rendering it undetectable to the human eye. This multifaceted approach effectively thwarts unauthorized access attempts within the network, ensuring that only authorized recipients can access the embedded data. Consequently, CRYPTO-STEGO significantly elevates the overall security posture of data communication. The framework achieves high image quality metrics (PSNR=49.4482, SSIM=0.9962, Correlation=0.99978), demonstrating its effectiveness in preserving the fidelity of the cover image. © 2024 IEEE.

关键词： Generative adversarial networks

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Intelligent Traffic Management System: An Advanced Solution for Helmet Compliance, Traffic Signal Violation Detection, Number Plate Identification

Intelligent Traffic Management System: An Advanced Solution ...

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2024 International Conference on Electrical, electronics and Computing Technologies, ICEECT 2024

作者： Surekha Jaya Krishna, Gudla Venkata Karthikeya, Damojipurapu Gokaraju Rangaraju Institute of Engineering and Technology Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350378092

Intelligent Traffic Management System (ITMS) is an advanced solution that aims to enhance road safety by ensuring helmet compliance, detecting traffic signal violations, and identifying number plates. This system utilizes cutting-edge technologies such as computer vision, machine learning, and artificial intelligence to monitor and analyse various aspects of traffic. One of the key features of the ITMS is its ability to enforce helmet compliance. The system will be able to determine if riders are wearing helmets or not, by analysing real-time video footage from surveillance cameras using computer vision algorithms. Furthermore, the ITMS incorporates traffic signal violation detection capabilities, providing an efficient solution for identifying and penalizing motorists who disregard traffic signals. This helps in reducing accidents and improving overall traffic flow. Another important functionality of the ITMS is number plate identification. Through optical character recognition algorithms, the system can capture and extract license plate numbers of vehicles passing through specific checkpoints. In summary, the Intelligent Traffic Management System offers a comprehensive solution for ensuring helmet compliance, detecting traffic signal violations, and identifying number plates using YOLO v7 Algorithm. With its integration of advanced technologies, it provides an efficient and effective approach to enhance road safety and traffic management. © 2024 IEEE.

关键词： Traffic signals

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Air quality and dust level monitoring systems in hospitals using IoT

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Discover Internet of Things 2025年第1期5卷 1-18页

作者： Parkavi, A. Sowmya, B.J. Alex, Sini Anna Supreeth, S. Shruthi, G. Rohith, S. Chatterjee, Sudipta Lingaraj, K. Department of Computer Science and Engineering Ramaiah Institute of Technology Bengaluru560054 India Department of Artificial Intelligence and Data Science Ramaiah Institute of Technology Bengaluru560054 India Ramaiah Institute of Technology Bengaluru560054 India School of Computer Science and Engineering REVA University Bengaluru560064 India Department of Electronics and Communication Engineering Nagarjuna College of Engineering and Technology Bengaluru562164 India Department of Electronics and Communication Engineering Brainware University Barasat West Bengal Kolkata700125 India Department of Computer Science and Engineering Rao Bahadur Y. Mahabaleswarappa Engineering College Bellary583104 India

This system provides a comprehensive overview of hospital environments by tracking air quality, dust, temperature, and humidity simultaneously, offering a more complete picture of indoor conditions than systems that focus on fewer parameters. The use of IoT technology enables real-time monitoring and alerts, allowing hospital staff to respond immediately to any issues. Additionally, predictive analytics anticipate future changes, giving staff time to take preventive measures. The integration with a mobile app and cloud-based data storage ensures easy access to data, convenient monitoring, and the ability to scale the system across multiple hospital facilities, catering specifically to the unique needs of different healthcare environments. © The Author(s) 2025.

关键词： Indoor air pollution

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Temporal-dependent photoconductivity of Cd@ZnS microspheres

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Materials Research Innovations 2024年第3期28卷 184-190页

作者： Shahi, A.K. Shankar, Ravi Pandey, B.K. Gopal, R. University of Allahabad Allahabad India Department of Electronics & Communication Engineering GMR Institute of Technology Rajam Vizianagram India

Cd@ZnS microspheres with diameters of ~ 4 μm and a shell thickness of about ~ 1 μm have been successfully fabricated via green, ecofriendly solvothermal approach. These microspheres are tailored using chelating agent ethylenediamine tetra acetic acid, non-ionic surfactant poly ethylene glycol (PEG) and precursor thioacetamide. The structural information such as phase, size and morphology of prepared microspheres is characterised using X-ray diffraction (XRD) pattern and transmission electron microscopy (TEM) while the optical properties are studied using optical absorption of as prepared products. It is found that cubic phase of prepared products formed with tiny constituent as crystallites are about ~ 15 nm in size, as indicated by TEM observation. Temporal-dependent photoconductive response characteristics are quantitatively analysed thoroughly. The results clearly demonstrate that the fabrication of Cd@ZnS microspheres-based photoconductive devices will have potential applications in the future optoelectronics as optical switching and visible-light photodetectors. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： X ray diffraction

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Textile Substrate Materials for Wearable Antenna Applications: A Review 10

Textile Substrate Materials for Wearable Antenna Application...

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

作者： Manikandan, M. Jenisha, J. Srinath, V. Rajasekaran, P. Femina, V. Ssm Institute of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Dindigul India Chettinad College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Karur India Kongunadu College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Thottiam India Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Kattankulathur India Psna College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Dindigul India

ISBN: (纸本)9798350384369

This article confers an extensive study of textile substrate materials often used in designing wearable fabric or textile antennas in recent literatures. The most opted structure for designing wearable textile antenna is microstrip patch antenna. Several specifications like gain, efficiency, operating range and specific absorption rate (SAR) decides the performance of wearable fabric patch antennas. The values of these specifications or parameters depend on materials used for patch and substrate of microstrip antenna, design mechanism and fabrication techniques involved. The review articles based on wearable textile antenna presented so far in the literature have analysed only the design and fabrication techniques involved. This article analysed the performance of frequently used textile substrate materials like Denim., Jeans, Felt, Polymide and Cotton in recent wearable textile antennas that had been designed for ISM band application. The gain, radiation efficiency, operating range and SAR value of all above mentioned textile substrates that were implemented on antenna structures are analysed and compared. After comparing the results of all the substrates, it is found that felt reveals outstanding performance. Felt exhibit higher values of gain, radiation efficiency and low SAR value in ISM band. On the other fold, when this felt substrate is used along with conductive patches like Shieldit super, Zelt and Taffeta a remarkable results are observed and also highlighted in this article. Hence this article will provide a complete guidance for antenna engineers working in wearable textile antenna applications. © 2024 IEEE.

关键词： Felt

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Information Freshness in Multi-Hop Satellite IoT Systems

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IEEE Transactions on Mobile Computing 2025年第7期24卷 6014-6029页

作者： Ke, Ying Ni, Zihan Zhang, Di Miao, Xiaqing Leow, Chee Yen Wang, Shuai Pan, Gaofeng An, Jianping School of Cyberspace Science and Technology Beijing100081 China Universiti Teknologi Malaysia Wireless Communication Centre School of Electrical Engineering Faculty of Engineering Skudai81310 Malaysia

Space-air-ground integration has become paramount in the next generation of wireless communication systems in the era marked by the seamless integration of terrestrial and celestial domains. On the other hand, the age of information (AoI) has recently emerged as a vital metric for evaluating the timeliness and freshness of data in these multi-hop communication systems. This paper focuses on investigating the information freshness of multi-hop satellite IoT systems while considering several automatic repeat request (ARQ) and hybrid ARQ (HARQ) schemes over different hops to promise the reliability of data transmissions. Specifically, a group of remote sensors transmits their data to a terrestrial base station (B) via the code-division multiple access (CDMA) strategy to exploit CDMA’s natural merits, e.g., anti-jamming and simultaneous transmissions. Then, B sends these received data to a data destination (D) via a satellite (R) under the transparent forwarding strategy. We derive the closed form of the outage probability for the CDMA protocol considering multi-user interference (MUI) and the closed form of the end-to-end outage probability for the three kinds of ARQ and HARQ schemes on the dual-hop B-R-D transmission, and then finally derive the expression of the corresponding AoI. Finally, numerical results show that simulations match well with the theoretical results, proving the analysis’s correctness and the pros and cons of the different ARQ/HARQ schemes. © 2002-2012 IEEE.

关键词： Code division multiple access

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