International Conference on Algorithms, Microchips and Network Applications最新文献_第5页

An advanced encryption standard framework for coarse-grained reconfigurable processor 粗粒度可重构处理器的高级加密标准框架

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031998

Xuetong Wu, Zhiyong Bu

{"title":"An advanced encryption standard framework for coarse-grained reconfigurable processor","authors":"Xuetong Wu, Zhiyong Bu","doi":"10.1117/12.3031998","DOIUrl":"https://doi.org/10.1117/12.3031998","url":null,"abstract":"Currently, the Advanced Encryption Standard (AES) holds the distinction of being the most widely used symmetric cryptographic algorithm. The importance of developing AES with superior performance cannot be overstated, as it holds the potential to expand its vast range of applications. The encryption algorithm may leak some information during operation, which may be used by attackers for side channel attacks (SCA). CGRA (Coarse-Grained Reconfigurable Architecture), as a coarse-grained reconfigurable architecture, allows hardware resources to be reconfigured for different tasks. This reduces the impact of SCA during encryption and decryption. To improve the security of AES algorithm, this paper introduces an encryption and decryption framework based on open-source CGRA complier that enable domain experts to easily accelerate the plaintexts on reconfigurable processors. Firstly, we propose an improved hardware-friendly AES algorithm, which allows the processing elements (PE) of CGRA to access the data in a vectorized fashion. Secondly, a new set of CGRA instructions, based on the proposed algorithm, has been used and the performance has been improved up to 19 times when compared to the standard AES algorithm. Finally, we evaluate the proper size of CGRA to balance the performance and the area. Our experiments show that the best compromise of CGRA size is 8 * 8 for classic AES-128.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

TCSE-ResNet50 mixed-signal identification algorithm for joint spectrum and quartic spectrum 用于联合频谱和四元频谱的 TCSE-ResNet50 混合信号识别算法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031987

Shoubin Wang, Chunhui Hu, Ming Fang, Lei Shen

{"title":"TCSE-ResNet50 mixed-signal identification algorithm for joint spectrum and quartic spectrum","authors":"Shoubin Wang, Chunhui Hu, Ming Fang, Lei Shen","doi":"10.1117/12.3031987","DOIUrl":"https://doi.org/10.1117/12.3031987","url":null,"abstract":"At present, the application of deep learning algorithm to the scene of modulation type identification mostly focuses on single digital modulation type identification, and rarely involves the identification of mixed digital and analog modulation types. At present, the signal characteristics used in the identification network are single, and the analog signal does not have the common identification characteristics such as cyclic spectrum and constellation diagram, so the existing composition method is not suitable for the identification of mixed digital-analog signal sets. In order to solve these problems, a TCSE-ResNet50 mixed-signal recognition algorithm combining the fourth power spectrum of frequency spectrum is proposed, and a feature map with wider feature applicability is formed by combining the signal spectrum and the fourth power spectrum. According to the attention mechanism module included in the proposed TCSE-ResNet50 network, the model pays more attention to discrete spectral lines and reduces the interference of other background areas or random noise on signal recognition as much as possible. At the same time, the cross entropy and triplet loss functions are combined, and the cross entropy is used to widen the characteristic distance between different kinds of signals with similar frequency domain expressions, and the triplet is used to narrow the characteristic distance between similar signals caused by random baseband symbols or random additive noise, thus completing the identification of {FM, AM, 2ASK, BPSK, 2FSK, 16QAM, 16APSK} digital-analog mixed signal sets. When the signal-to-noise ratio is -2dB, the average recognition rate of this algorithm is over 93%, which is superior to single feature input and traditional convolutional network recognition model.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on HOV lane route layout method based on heuristic algorithm 基于启发式算法的 HOV 车道路线布局方法研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032004

Jianxiang Wang, Junlin Sha, Zhenhua Zhang, Xu Chen, Jiabao Li, Kang Fei

引用次数: 0

Lightweight siamese object tracking algorithm based on SiamBAN 基于 SiamBAN 的轻量级连体物体跟踪算法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032063

Cong Tian, Hongyu Chu, Taiqi He, Yanhua Shao, Haode Shi

{"title":"Lightweight siamese object tracking algorithm based on SiamBAN","authors":"Cong Tian, Hongyu Chu, Taiqi He, Yanhua Shao, Haode Shi","doi":"10.1117/12.3032063","DOIUrl":"https://doi.org/10.1117/12.3032063","url":null,"abstract":"The UAV platform has limited computing resources, and the tracking algorithm needs better speed and accuracy tradeoff, a lightweight siamese network target tracking algorithm called SiamBAN-T based on SiamBAN. Firstly, to reduce the number of network parameters, mobilenetV3 was as to extract the siamese feature. Secondly, we introduce CA attention into the feature fusion module to enhance perception ability regarding target spatial-position information. Thirdly, multibranch cross correlation is incorporated into the head of the network to strengthen boundary information and scale information, thereby improving the anti-interference capability of our trackier. Finally, a feature enhancement module is designed to improve classification and regression abilities. Experimental results on UAV123 dataset demonstrate that compared with the original algorithm, our improved algorithm achieves an increase in success rate by 0.8% and accuracy by 0.8%. The running speed has been enhanced by 7.6 times for PC devices and 18.5 times for airborne mobile terminals, respectively. These experimental findings indicate that our SiamBAN-T significantly enhances tracking speed while maintaining high precision.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141368567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization method for rapid emergency recovery of power failure in distribution network based on multiagent algorithm 基于多代理算法的配电网断电快速应急恢复优化方法

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032011

Jingsi Yang, Rong Yi, Yao Fu, Zhaojing Wang, Tongqing Li, Junxi Wang

{"title":"Optimization method for rapid emergency recovery of power failure in distribution network based on multiagent algorithm","authors":"Jingsi Yang, Rong Yi, Yao Fu, Zhaojing Wang, Tongqing Li, Junxi Wang","doi":"10.1117/12.3032011","DOIUrl":"https://doi.org/10.1117/12.3032011","url":null,"abstract":"Power failure in distribution network affects the quality of people's daily electricity consumption, so it is of great practical significance to quickly locate the fault location and realize power supply recovery for improving the reliability and safety of power supply. Based on this, this paper proposes an optimization method for rapid emergency recovery of distribution network power failure based on multi-agent algorithm. In the single power supply mode, the switching function is designed, and the power failure location result of distribution network based on multi-agent algorithm is determined by analyzing the power generation efficiency function of equipment. Automatic data is used to optimize the rapid emergency recovery of power failure, and multi-agent algorithm is introduced into it to realize the optimization method of rapid emergency recovery of power failure in distribution network. The experimental results show that the precision, recall and F1 score of the research method are all above 95%, and the power generation effect of the equipment is high, which can restore the normal operation of the distribution network more quickly and effectively.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semantic code clone detection based on BERT pre-trained model 基于 BERT 预训练模型的语义代码克隆检测

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031928

Zekai Cheng, Jiahao Hu, Yongkang Guo, Xiaoke Li

引用次数: 0

Research on WebShell encrypted communication detection based on machine learning 基于机器学习的 WebShell 加密通信检测研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032051

leiyu che, xiaodong liu

{"title":"Research on WebShell encrypted communication detection based on machine learning","authors":"leiyu che, xiaodong liu","doi":"10.1117/12.3032051","DOIUrl":"https://doi.org/10.1117/12.3032051","url":null,"abstract":"Webshell is a backdoor program based on web services. Attackers can use WebShell to gain administrative privileges for web services, thereby achieving penetration and control of web applications. With the gradual development of traffic encryption technology, traditional detection methods that match text content features and network traffic features are becoming increasingly difficult to prevent complex WebShell malicious attacks in production environments, especially variant samples, adversarial samples or 0Day vulnerability samples, and the detection effect is not ideal. This article constructs a network collection environment and collects malicious Webshell traffic samples using different platforms, languages, and tools; A WebShell encrypted traffic recognition method based on Relie F feature extraction was proposed, which assigns weights to multiple features through the Relie F algorithm and selects feature groups with strong classification ability based on the size of the weights; Finally, use the LightGBM classification algorithm to identify normal encrypted traffic and WebShell encrypted traffic, and distinguish the management tools to which WebShell password traffic belongs. The experimental results indicate that this method can effectively distinguish between normal encrypted traffic and Webshell malicious traffic. The recognition accuracy and recall rate of Webshell management tool software are both higher than 92%.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on multi-source heterogeneous data structure analysis technique based on AI security detection algorithm 基于人工智能安全检测算法的多源异构数据结构分析技术研究

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032167

Chunyan Yang, Songming Han, Jieke Lu, Shaofeng Ming, Wei Zhang

引用次数: 0

M-LAB: scheduling space exploration of multitasks on tiled deep learning accelerators M-LAB：瓦片式深度学习加速器上多任务的调度空间探索

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3032039

Bingya Zhang, Sheng Zhang

{"title":"M-LAB: scheduling space exploration of multitasks on tiled deep learning accelerators","authors":"Bingya Zhang, Sheng Zhang","doi":"10.1117/12.3032039","DOIUrl":"https://doi.org/10.1117/12.3032039","url":null,"abstract":"With the increasing commercialization of deep neural networks (DNN), there is a growing need for running multiple neural networks simultaneously on an accelerator. This creates a new space to explore the allocation of computing resources and the order of computation. However, the majority of current research in multi-DNN scheduling relies predominantly on newly developed accelerators or employs heuristic methods aimed primarily at reducing DRAM traffic, increasing throughput and improving Service Level Agreements (SLA) satisfaction. These approaches often lead to poor portability, incompatibility with other optimization methods, and markedly high energy consumption. In this paper, we introduce a novel scheduling framework, M-LAB, that all scheduling of data is at layer level instead of network level, which means our framework is compatible with the research of inter-layer scheduling, with significant improvement in energy consumption and speed. To facilitate layer-level scheduling, M-LAB eliminates the conventional network boundaries, transforming these dependencies into a layer-to-layer format. Subsequently, M-LAB explores the scheduling space by amalgamating inter-layer and intra-layer scheduling, which allows for a more nuanced and efficient scheduling strategy tailored to the specific needs of multiple neural networks. Compared with current works, M-LAB achieves 2.06x-4.85x speed-up and 2.27-4.12x cost reduction.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Passive traffic analysis based on resource occupancy of mobile communication uplink control channel 基于移动通信上行控制信道资源占用的被动流量分析

International Conference on Algorithms, Microchips and Network Applications Pub Date : 2024-06-08 DOI: 10.1117/12.3031911

hang zhang, liqi zhuang, dong wei, weiqing huang, Jing Li

引用次数: 0