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A blockchain-based privacy-preserving and collusion-resistant scheme(PPCR)for double auctions

Digital communications and Networks 2025年第1期11卷 116-125页

作者： Xuedan Jia Liangmin Wang Ke Cheng Pujie Jing Xiangmei Song School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang 212013China School of Cyber Science and Engineering Southeast UniversityNanjing 211102China School of Computer Science and Technology Xidian UniversityXi’an 710071China

Electronic auctions(e-auctions)remove the physical limitations of traditional auctions and bring this mechanism to the general ***,most e-auction schemes involve a trusted auctioneer,which is not always credible in *** studies have applied cryptography tools to solve this problem by distributing trust,but they ignore the existence of *** this paper,a blockchain-based Privacy-Preserving and Collusion-Resistant scheme(PPCR)for double auctions is proposed by employing both cryptography and blockchain technology,which is the first decentralized and collusion-resistant double auction scheme that guarantees bidder anonymity and bid privacy.A two-server-based auction framework is designed to support off-chain allocation with privacy preservation and on-chain dispute resolution for collusion resistance.A Dispute Resolution agreement(DR)is provided to the auctioneer to prove that they have conducted the auction correctly and the result is fair and *** addition,a Concise Dispute Resolution protocol(CDR)is designed to handle situations where the number of accused winners is small,significantly reducing the computation cost of dispute *** experimental results confirm that PPCR can indeed achieve efficient collusion resistance and verifiability of auction results with low on-chain and off-chain computational overhead.

关键词： Privacy protection Collusion resistance Secure protocol Blockchain-based double auction Dispute resolution

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Efficient protection of golden nutri cereal implementing enhanced disease identification injecting hybrid split-attention mechanism through Novel SANDNES Mechanism

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Multimedia Tools and Applications 2024年第38期83卷 85499-85521页

作者： Divya, A. Sungeetha, D. Ramesh, Sundar Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai602105 India Department of Networking and Communications School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur Chennai India

Millets, often referred to as "Nutri Cereals," hold significant potential for enhancing future food availability. Over the past 50 years, advancements such as the use of fertilizers, insecticides, and controlled irrigation have markedly increased the productivity of pearl millet crops worldwide. According to the 2020 review report by the Directorate of Millets Development, 693 million hectares of agricultural land are dedicated to pearl millet cultivation. However, managing crop diseases remains a substantial challenge for farmers. Effective crop disease management is crucial for sustainable agriculture, yet traditional algorithms often struggle with accurate detection and computational inefficiency especially in the case of golden cereal termed as "Pearl Millet". Our study introduces a novel approach for disease detection in pearl millet crops using aerial imagery, named Split-Attention Networks with Disentangled Nonlocal and Edge Supervision (SANDNES). This method leverages advanced neural network architectures to enhance disease detection accuracy and efficiency. Our comprehensive numerical evaluations demonstrate that SANDNES outperforms traditional U-Net and U-Net + Nonlocal baseline models Comprehensive evaluations demonstrate SANDNES' exceptional performance, achieving an impressive average F1 score of 89.04%, significantly surpassing other methods in accuracy and efficiency. Specifically, SANDNES achieved notable performance improvements, with F1 scores of 94.88% for healthy crops, 85.96% for honeydew, 82.97% for smut, and 92.69% for ergot. This method leverages split-attention mechanisms for precise feature localization, with Disentangled Nonlocal and Edge Supervision enhancing contextual reasoning and boundary delineation. SANDNES superior computational efficiency and high accuracy make it suitable for real-time precision agriculture applications. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024

关键词： Crops

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Secure data aggregation using quantum key management in IoT networks

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Journal of Intelligent and Fuzzy Systems 2024年第1期1卷 1-16页

作者： Thenmozhi, R. Sakthivel, P. Kulothungan, K. Information Science and Technology College of Engineering Guindy Anna University Chennai India Electronics and Communication Engineering College of Engineering Guindy Anna University Chennai India

The Internet of Things and Quantum Computing raise concerns, as Quantum IoT defines security that exploits quantum security management in IoT. The security of IoT is a significant concern for ensuring secure communications that must be appropriately protected to address key distribution challenges and ensure high security during data transmission. Therefore, in the critical context of IoT environments, secure data aggregation can provide access privileges for accessing network services. "Most data aggregation schemes achieve high computational efficiency;however, the cryptography mechanism faces challenges in finding a solution for the expected security desecration, especially with the advent of quantum computers utilizing public-key cryptosystems despite these limitations. In this paper, the Secure Data Aggregation using Quantum Key Management scheme, named SDA-QKM, employs public-key encryption to enhance the security level of data aggregation. The proposed system introduces traceability and stability checks for the keys to detect adversaries during the data aggregation process, providing efficient security and reducing authentication costs. Here the performance has been evaluated by comparing it with existing competing schemes in terms of data aggregation. The results demonstrate that SDA-QKM offers a robust security analysis against various threats, protecting privacy, authentication, and computation efficiency at a lower computational cost and communication overhead than existing systems. © 2024 - IOS Press. All rights reserved.

关键词： Quantum cryptography

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IoT-Powered Farmland Monitoring System with Voice Integration 5

IoT-Powered Farmland Monitoring System with Voice Integratio...

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5th International Conference on Smart electronics and communication, ICOSEC 2024

作者： Madhav, A. Bala Sanjeev Reddy, Baddam Kanishka Pillai, Atul B. Sagar, Paresh Vellore Institute of Technology School of Electronics Engineering Tamilnadu Vellore India Vellore Institute of Technology Communication Systems School of Electronics Engineering Tamilnadu Vellore India

ISBN: (纸本)9798331504403

The rise of automation and IoT has led to people involving smart devices in all parts of life. It has also allowed businesses and industries to implement automated processes to streamline their tasks and increase efficiency which helps reduce costs and enhance safety. This research study proposes an affordable IoT based system for agricultural monitoring in rural households using the ESP8266 Node-MCU microcontroller. This system is triggered by multilingual voice commands which include an array of regional Indian languages using Google assistant in conjunction with IFTTT (If This then That) and the IoT platform Blynk. This system monitors environmental and agricultural factors such as humidity, air temperature, and presence of intruders and soil moisture which is displayed on the user's mobile device through the Blynk application. These functionalities are able to be implemented due the Wi-Fi capabilities of the ESP8266 Node-MCU. © 2024 IEEE.

关键词： Smart agriculture

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Effect of deposition temperature on growth of Zinc oxide Nanorods on Zinc oxide thin film for Optoelectronics and Sensing Applications

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Interactions 2024年第1期245卷 1-12页

作者： Sannakashappanavar, Basavaraj S. Pattanashetti, Nandini A. Yadav, Aniruddh Bahadur Department of Electronics and Communication Engineering Dayananda Sagar College of Engineering Bangalore560078 India Department of Chemistry Dayananda Sagar Academy of Technology and Management Bangalore560082 India Department of Electronics and Communication Engineering Velagapudi Ramakrishna Siddhartha Engineering College Kanuru Vijayawada520007 India

In the present research work, Zinc oxide (ZnO) thin film was depos-ited on the Silicondioxide(SiO2)(~ 200 nm)/Silicon substrate by using Radio Frequency (RF) sputtering at 4000C to study the effect of deposition temperature on growth of ZnO Nanorods on ZnO thin films. The thin-film surface morphology was examined using X-ray diffraction and Atomic Force Microscopy. Hydrothermal method was used for the growth of ZnO nanorods on ZnO thin films. The ZnO nanorods’ structural properties were determined using Field Emission Scanning Electron Microscopy and X-ray *** investigate the effect of temperature variation onZnO Nanorod growth and orientation was studied. The Metal Semiconductor Metal(MSM) based device structure was fabricated by depositing Ti/Au contact using thermal evaporator and shadow mask technique. Further, the electrical characteristics were carried out by using semi-conductor parameter analyzer. Later the device was exposed to UV light of frequency 365 nm and 380 nm to study the photodetection *** finally the sensing propertiesof the device was measured by exposing it to ethanol. The obtained results support positively for their wide applications in the area of optoelectronic and sensing based electronic devices. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Thin films

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Compacted conformal antenna at lower-UWB for wireless capsule endoscope system

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Journal of Ambient Intelligence and Humanized Computing 2023年第9期14卷 12617-12633页

作者： Janapala, Doondi Kumar Moses, Nesasudha Orugu, Rangarao RF Laboratory Department of Electronics and Communication Engineering Karunya Institute of Technology and Sciences Tamilnadu Coimbatore India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhrapradesh Bhimavaram India

A compact sized ingestible antenna is presented at 3.3 GHz for lower ultra-wide band (UWB) wireless capsule endoscope system, by taking the stomach part of human body model presence into consideration. The proposed novel design is based on microstrip feed model and consists of three unique strip lines at center, The tuning of strip lines length and gaps between them achieved the intended frequency band of operation. This unique design helped in reducing the size of the antenna significantly and can maintain the operational band in flexible condition which proves advantage while integrating the antenna inside the capsule. The dimension of the antenna excluding the superstrate are 5.4 mm × 7 mm × 0.36 mm. The size is compact enough to be placed in cap part of capsule to avoid overlapping and coupling losses with surrounding circuitry. Initially the ingestible antenna along with circuitry and capsule were designed and placed inside homogenous stomach box using Ansys HFSS tool for the analysis, later the capsule system is placed inside different parts of the realistic virtual human phantom model and the comparative analysis is presented using the reflection coefficient curves and specific absorption rate (SAR). The SAR analysis is carried as per the Federal communications Commission (FCC) over 1 g volume tissue, and it is 0.74 W/Kg for the proposed ingestible antenna for input power of 1 mW. The proposed antenna maintained its operational band with good impedance matching and S11 below − 10 dB making to robust and insensitive towards the variation of tissues dielectric properties in gastrointestinal tract (GI). The presented coupling strength analysis from endoscopy antenna to outside antenna proved its ability to communicate. The link budget analysis for the GI tissues proved that the margin between the actual link and the required strength is good for up to 5 m distance between the Tx and Rx antennas. Moreover, the fabricated model is measured under minced pork condit

关键词： Tissue

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Prediction Model of the End-point Carbon Content in BOF by Constructing the Graph of Heats

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ISIJ International 2025年第5期65卷 613-618页

作者： Ning, Wen Hongbing, Wang Li, Li Anjun, Xu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing100083 China

For the differences in composition and proportions of input materials, end-point quality requirements and slagging specifications, it is difficult to construct a generalized model to guide steelmaking production. There is a complex connection among different heats in BOF, and this combination of correlations can be thought of as a hidden working pattern. A method named "attribute level division" is developed to exploit the correlations among heats to construct the graph of heats. The model based on the combination of label propagation algorithm (LPA) and back propagation neural network (BPNN), LPA-BP, is proposed for end-point carbon content prediction in BOF. LPA is used to discover the different community in the graph of heats and BPNN is trained to construct different models for end-point carbon content prediction for the heats from different community. The results of comparative experiment show that the LPA-BP model is higher than the baseline 2.5% when prediction error is within ±0.012%. The LPA-BP model also outperforms in some metrics, such as RMSE, MAE. This model provides a novel idea to improve the endpoint hit rate by distinguishing different communities to uncover the hidden working patterns among heats and constructing different models. © 2025 The Iron and Steel Institute of Japan.

关键词： Steelmaking

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A Comparative Study of Anomaly Detection: Integrating Joint Detection and Tracking Techniques 3

A Comparative Study of Anomaly Detection: Integrating Joint ...

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3rd International Conference on electronics and Renewable Systems, ICEARS 2025

作者： Lekha, T. R. Jaya Chandra Aravind, T. Ramesh, R. Lourdes Mount College of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu India Saveetha Engineering College Department of Electronics and Communication Engineering Tamilnadu Chennai India Tagore Engineering College Department of Electronics and Communication Engineering Tamilnadu Chennai India

ISBN: (纸本)9798331509675

As video data becomes increasingly pervasive in various domains, the need for robust and efficient anomaly detection methods has grown exponentially. This comparative analysis explores and evaluates diverse methods for video anomaly detection, ranging from traditional techniques to advanced deep learning methodologies. The study aims to unravel the complexities inherent in identifying anomalies within dynamic environments and offers insights into each method's strengths, limitations, and adaptability. The research investigates the impact of these anomaly detection methods across different datasets, assessing their generalizability and performance consistency. The study further addresses the computational aspects, comparing the efficiency and resource requirements of the various models under consideration. This comparative analysis contributes to the ongoing discourse on enhancing surveillance and security measures in diverse real-world applications by delving into the nuances of video anomaly detection. © 2025 IEEE.

关键词： Generative adversarial networks

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A Review of Intelligent Configuration and Its Security for Complex Networks

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Chinese Journal of electronics 2024年第4期33卷 920-947页

作者： Yue ZHAO Bin YANG Fei TENG Xianhua NIU Ning HU Bo TIAN Science and Technology on Communication Security Laboratory School of Computer and Information Engineering Chuzhou University School of Computing and Artificial Intelligence Southwest Jiaotong University School of Computer and Software Engineering Xihua University Cyberspace Institute of Advanced Technology Guangzhou University

Complex networks are becoming more complex because of the use of many components with diverse technologies. In fact, manual configuration that makes each component interoperable has breed latent danger to system security. There is still no comprehensive review of these studies and prospects for further research. According to the complexity of component configuration and difficulty of security assurance in typical complex networks, this paper systematically reviews the abstract models and formal analysis methods required for intelligent configuration of complex networks, specifically analyzes, and compares the current key technologies such as configuration semantic awareness, automatic generation of security configuration, dynamic deployment, and verification evaluation. These technologies can effectively improve the security of complex networks intelligent configuration and reduce the complexity of operation and maintenance. This paper also summarizes the mainstream construction methods of complex networks configuration and its security test environment and detection index system, which lays a theoretical foundation for the formation of the comprehensive effectiveness verification capability of configuration security. The whole lifecycle management system of configuration security process proposed in this paper provides an important technical reference for reducing the complexity of network operation and maintenance and improving network security.

关键词： Complex networks Intelligent configuration Configuration security Software defined network Lifecycle management

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Gaussian Mixture-Learned Approximate Message Passing(GM-LAMP)Based Hybrid Precoders for mmWave Massive MIMO Systems

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China communications 2024年第12期21卷 66-79页

作者： Shoukath Ali K Sajan P Philip Perarasi T Department of Electronics and Communication Engineering Presidency UniversityItgalpuraRajanukunteYelahankaBengaluruKarnataka 560064India Department of Electronics and Communication Engineering Bannari Amman Institute of TechnologyErodeTamil Nadu638401India

Hybrid precoder design is a key technique providing better antenna gain and reduced hardware complexity in millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)*** this paper,Gaussian Mixture learned approximate message passing(GM-LAMP)network is presented for the design of optimal hybrid precoders suitable for mmWave Massive MIMO *** hybrid precoder designs using a compressive sensing scheme such as orthogonal matching pursuit(OMP)and its derivatives results in high computational complexity when the dimensionality of the sparse signal is *** drawback can be addressed using classical iterative algorithms such as approximate message passing(AMP),which has comparatively low computational *** drawbacks of AMP algorithm are fixed shrinkage parameter and non-consideration of prior distribution of the hybrid *** this paper,the fixed shrinkage parameter problem of the AMP algorithm is addressed using learned AMP(LAMP)network,and is further enhanced as GMLAMP network using the concept of Gaussian Mixture distribution of the hybrid *** simula-tion results show that the proposed GM-LAMP network achieves optimal hybrid precoder design with enhanced achievable rates,better accuracy and low computational complexity compared to the existing algorithms.

关键词： approximate message passing deep neu-ral network Gaussian Mixture model massive MIMO millimeter wave

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