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2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Raut, Umesh Nagarkar, Ajinkya Talnikar, Chinmay Mokashi, Mustafa Sharma, Rishabh Mit World Peace University Computer Science & Engineering Pune India

ISBN: (纸本)9798350304268

Cyber-attacks are becoming more sophisticated and frequent[2] in today's environment of growing connectivity. To safeguard networks and systems, it is essential to establish efficient and effective security solutions[4]. This project intends to develop a highly interactive honeypot system, utilizing the ChatGPT API, to engage attackers and gather data on their behaviour. In order to gain knowledge of the attacker's strategies and tactics, the system will react to commands by imitating a weak system. The ultimate objective is to enhance our comprehension of attacker behaviour and support the creation of more effective security solutions. This honeypot system's implementation and evaluation will make significant contributions to the field of computer security. © 2023 IEEE.

关键词： Generative Pre-Trained Transformer (GPT) Honeypot Procedures (TTPs) Tactics Techniques Threats

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DV-Hop Localization Strategy Based on Beacon Node Confidence Analysis 6

DV-Hop Localization Strategy Based on Beacon Node Confidence...

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6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Shen, Han Wang, Zhongsheng Xi'an Technological University School of Computer Science and Engineering Xi'an710021 China Xi'an Technological University State and Provincial Joint Engineering Lab. of Advanced Network Monitoring and Control Xi'an China

ISBN: (纸本)9798350305388

To address the problem that the DV-Hop localization model for wireless sensor networks can no longer meet the current localization accuracy requirements, this paper proposes the concept of beacon node trustworthiness to provide ideas and basis for improving the optimization model. Based on the principle of least squares in the localization model, weighted least squares is introduced to present the trustworthiness for beacon nodes with different characteristics. To analyze the characteristics of the trustworthiness of beacon nodes, 18 functions are designed in terms of function instrumentality and decrement able, hierarchical faultiness, etc. Finally, the conclusions obtained from the credibility test are tested with weighted matrix and average hop distance weighting, and the localization error is reduced from 32.68% to 31.78%, with a role rate of 100%. The credibility characteristics of beacon nodes discussed in this paper provide ideas for subsequent optimization of the localization model. © 2023 IEEE.

关键词： Sensor nodes

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Hybrid cloud storage system with enhanced multilayer cryptosystem for secure deduplication in cloud

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international Journal of Intelligent Networks 2023年第1期4卷 301-309页

作者： Mageshkumar, Nagappan Swapna, J. Pandiaraj, A. Rajakumar, R. Krichen, Moez Ravi, Vinayakumar Department of Computer Science and Technology Madanapalle Institute of Technology and Science Madanapalle India Department of Computer Science & Engineering Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Computing Technology SRM Institute of Science and Technology Kattankulathur chennai India Al-Baha University Alaqiq 65779-7738 Saudi Arabia ReDCAD Laboratory University of Sfax Sfax3038 Tunisia Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar34754 Saudi Arabia Centre for Automation School of Computer Science and Engineering Vellore Institute of Technology Chennai Campus Chennai India

Data deduplication is a crucial technique in the field of data compression that aims to eliminate redundant copies of recurring data. This technique has gained significant popularity in the realm of cloud storage due to its ability to effectively reduce storage requirements and optimize bandwidth utilization. To ensure the safeguarding of sensitive data while simultaneously facilitating deduplication, researchers have put forth the concept of convergent encryption as a potential solution. This technique involves encrypting the data prior to its outsourcing, thereby enhancing the confidentiality of the information. In this work, an earnest endeavor is undertaken to formally tackle the issue of authorized data deduplication, with the aim of enhancing data security. Our approach combines the Diffie-Hellman algorithm and symmetrical external decision to protect and popularize information, ensuring end-to-end encryption to encourage user adoption of cloud storage. The proposed model employs block-level deduplication and guarantees the randomness of ciphertexts by generating encryption keys using the Diffie-Hellman algorithm. This method effectively counters both internal and external brute-force attacks, enhancing data security while reducing computational costs. An extensive experimentation is carried out to demonstrate that our approach is particularly beneficial in scenarios with multiple privilege sets. Overall, the proposed model offers an elaborate framework that maintains data privacy and strengthens security measures, contributing to a more efficient and secure cloud-based document search. © 2023 The Author(s)

关键词： Cryptography

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Exploring the factors affecting the communication transmission performance of LORA technology

Exploring the factors affecting the communication transmissi...

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2023 international conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Wu, ZhaoBin Shen, QiGuang He, ChangShan College of Automation Guangxi University of Science and Technology Liuzhou545006 China

ISBN: (纸本)9781510666160

The factors affecting the transmission performance of LORA technology are further studied to deepen the analysis and understanding of the quality of the communication links of LOAR technology. In this paper, we study the transmission experiments of the LoRa technique at different emission powers and at different aerial speeds to verify its communication quality. The experimental results show that the communication distance and communication quality, which is the signal packet loss rate, are significantly changed with the emission power and air velocity. Then, the power consumption of LORA transceiver is studied and tested in this paper, which shows a linear relationship between node power consumption and air rate. © 2023 SPIE.

关键词： Electric power utilization

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A Genetic-Firefly Algorithm Based CNN-LSTM for Lithium-Ion Battery Fault Diagnosis 6

A Genetic-Firefly Algorithm Based CNN-LSTM for Lithium-Ion B...

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6th international conference on Robotics, Control and automation Engineering, RCAE 2023

作者： Liu, Xiaolu Jia, Li Li, Yang School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9798350315301

Lithium-ion batteries are a crucial component of new energy. Studying the fault diagnosis method of the batteries can ensure the safety of the system during operation. In this paper, a diagnosis method is studied based on the efficient channel attention (ECA) mechanism. The ECA is combined with convolutional neural network (CNN) and long short-Term memory (LSTM) to design the diagnosis model. To determine the values of hyperparameters, a hyperparameter selection method based on genetic-firefly algorithm is implemented. The hyperparameter optimization methods are illustrated by the simulated battery fault data. The results show that the proposed method can make the classification accuracy reach 100%. © 2023 IEEE.

关键词： Failure analysis

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EMD decomposition-based signal denoising method for DC electrical methods

EMD decomposition-based signal denoising method for DC elect...

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2023 international conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Huo, Jingri Wang, Guofu Li, Hongli College of Automation Electronic and Computer Science Guangxi University of Science and Technology Liuzhou China

ISBN: (纸本)9781510666160

The DC resistivity method uses the inherent conductive differences of subsurface materials as the basis for exploration to observe the earth's electric field, while human activities, nature and solar storms can cause changes in the earth's electric field, which in turn seriously affects the accuracy of exploration. Today the DC resistivity method is used for monitoring hazards such as landfill seepage, coal mine seepage, and slope seepage. The above hazards change slowly, and the monitored change signal is weak, and if there is earth current interference around it will bury the hazard signal. Therefore, it makes sense to noise cancel the signal for DC method. In this paper, empirical mode decomposition (EMD), sliding average and least squares fitting are combined to propose a noise-canceling method for DC electrical law signals. In this paper, the effectiveness of the method is verified by theoretical simulations. © 2023 SPIE.

关键词： Hazards

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Remaining Useful Life Prediction of Aircraft Engines based on FA-SDAE-BiGRU 6

Remaining Useful Life Prediction of Aircraft Engines based o...

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6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Bai, Xiaojun Sun, Yunpeng Meng, Gong Xi'an Technological University School of Computer Science and Engineering Xi'an China Beijing Aerospace Automatic Control Institution Beijing China

ISBN: (纸本)9798350305388

Aiming at the problems of insufficient feature extraction and inaccurate prediction in existing aircraft engines remaining useful life prediction algorithms, a fusion model based on feature attention mechanism, stacked noise reduction autoencoder and bidirectional gated cycle units (BiGRU) was proposed. Firstly, weight is assigned to each sensor data of aircraft engine by the feature attention mechanism, and new weight data is obtained. Next, the stack noise reduction autoencoder is used to extract the weighted data. Then, bidirectional gated recurrent units are employed to predict the time series data and obtain the remaining useful life of the aircraft engine. To accurately select the hyperparameters of BiGRU, the Bayesian optimization algorithm is utilized for hyperparameter optimization. Finally, ablation experiments were conducted on the CMPASS dataset to validate the effectiveness of the proposed method, resulting in a root mean square error and score of 13.51 and 252.61, respectively. © 2023 IEEE.

关键词： Aircraft engines

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Research and Implementation of Image Defogging Based on Deep Learning 6

Research and Implementation of Image Defogging Based on Deep...

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6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Li, Ao Wang, Zhongsheng Xi'an Technological University School of Computer Science and Engineering Xi'an710021 China Xi'an Technological University State and Provincial Joint Engineering Lab. of Advanced Network Monitoring and Control Xi'an China

ISBN: (纸本)9798350305388

Image degradation due to fog and haze is a common problem in the field of life and image research. This article will be designed and implemented of image haze removal algorithm. The traditional methods have some problems such as low brightness, artifact, halo and distortion, but the existing methods based on deep learning have better effect. In this paper, we will propose a de-fogging network model, which is based on adversarial network. The generator in adversarial network is a convolutional neural network with residual network, which reduces the model training parameters and improves the parameter utilization. The discriminator uses the full convolutional network as the discriminator, which enhances the spatial sensitivity of the model to the image. In order to improve efficiency, the discriminator is simplified on the original structure. The loss function of the model is improved so that the model can get better training effect. © 2023 IEEE.

关键词： Generative adversarial networks

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A Comprehensive Survey and Bibliometric Analysis of Convolution Neural Network 7

A Comprehensive Survey and Bibliometric Analysis of Convolut...

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2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Deokate, Sarika T. Chaudhari, Archana Y. Pimpri Chinchwad College of Engineering Department of Computer Engineering Pune India Dr. D. Y. Patil Institute of Technology Department of Computer Engineering Pune Pimpri India

ISBN: (纸本)9798350304268

Deep Learning and its techniques have reformed the fields of NLP, Image Processing, computer vision, speech recognition, and many other fields. Day by day, the evolutionary changes have been made in deep learning architectures like number of parameters, resources, epochs, augmentation of images, and it makes deep learning more powerful in AI and ML field. It has overcome the issue of segmentation of images and proved to be a good method. Success of deep learning is primarily dependent on the enormous dataset. In this paper we have discussed about CNN deep learning, its architectures, and it's working. We have also provided the statistical analysis of the CNN research trends, growth, and scientific research in industries. This paper will be beneficial to new researchers who wish to work in deep learning-CNN approach. © 2023 IEEE.

关键词： CNN Deep Learning NLP Pooling Relu

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Research on Big Data Center System Based on computer Internet technology

Research on Big Data Center System Based on Computer Interne...

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2023 IEEE international conference on Control, Electronics and computer technology, ICCECT 2023

作者： Huang, Changjiang Zhan, Liuchun Guangzhou College of Applied Science and Technology College of Computer Science Guangzhou Guangdong China

ISBN: (纸本)9798350399028

In this paper, the introduction of big data technology, from the hardware and software two aspects of communication security protection system design research. With the support of hardware equipment, the secure communication channel of the system is constructed by using the big data processing center as the support. The network data in the communication is stored in the specified network space to build the network communication link database. In this paper, the results of variance measurement are converted into the similarity between data and the similarity relationship of network communication big data is constructed. In this way, the similarity matrix of network communication big data is obtained. Experimental results show that the system designed by the proposed method has fast communication speed, low energy consumption, and low packet loss rate during communication. © 2023 IEEE.

关键词： Big data

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