Other Conferences最新文献_第7页

Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction 基于代码属性图展示和 Bi-LSTM 神经网络提取的软件漏洞检测方法

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032032

Hanqing Jiang, Shaopei Ji, Chengchao Zha, Yanhong Liu

{"title":"Software vulnerability detection method based on code attribute graph presentation and Bi-LSTM neural network extraction","authors":"Hanqing Jiang, Shaopei Ji, Chengchao Zha, Yanhong Liu","doi":"10.1117/12.3032032","DOIUrl":"https://doi.org/10.1117/12.3032032","url":null,"abstract":"Nowadays, the scale of software is getting larger and more complex. The forms of vulnerability also tend to be more diversified. Traditional vulnerability detection methods have the disadvantages of high manual participation and weak ability to detect unknown vulnerabilities. It can no longer meet the detection requirements of diversified vulnerabilities. In order to improve the detection effect of unknown vulnerabilities, A large number of machine learning methods have been applied to the field of software vulnerability detection. Because the existing methods have high loss of syntax and semantic information in the process of code representation, Lead to high false alarm rate and false alarm rate. To solve this problem, this paper presents a software vulnerability detection method based on code attribute graph and Bi-LSTM (Long Short-Term Memory), in which abstract syntax tree sequence and control flow graph sequence are extracted from the code attribute graph of function, Reduce the loss of information in the process of code representation, Bi-LSTM is selected to build a feature extraction model, Experimental results show that, compared with the method based on abstract syntax tree, this method can greatly improve the accuracy and recall of vulnerability detection, improve the vulnerability detection effect for real data sets mixed with multiple software source codes, and effectively reduce the false positive rate and false negative rate.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376948","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 of parallel compilation techniques using genetic algorithms 利用遗传算法优化并行编译技术

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031912

Lin Han, Pengyan Yan

引用次数: 0

A new zhoneypot defence for deep neural networks 针对深度神经网络的新型 "zhoneypot "防御系统

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031913

Zhou Zhou

{"title":"A new zhoneypot defence for deep neural networks","authors":"Zhou Zhou","doi":"10.1117/12.3031913","DOIUrl":"https://doi.org/10.1117/12.3031913","url":null,"abstract":"Deep Neural Networks (DNNs) have been found to be vulnerable to adversarial attacks. Numerous prior studies aim to address vulnerabilities in trained models, either by patching these weaknesses or by introducing measures to make it challenging or resource-intensive to compute adversarial examples exploiting them. In our research, we take a distinctive approach by exploring and developing a \"honeypot\" (DMZ-enabled) strategy for Deep Neural Networks (DNNs) to safeguard against adversarial attacks, setting our work apart from existing methods in the protection of DNN models. Unlike other methods, instead of modifying the original model, we split this high dimensional space to get DMZ (demilitarized zone). We intentionally keep weaknesses like traditional honeypot do in the classification model that allow adversaries to search for adversarial examples. The adversary's optimization algorithms gravitate towards DMZ, the examples they generate in the feature space will eventually fall into the DMZ. Then, by checking if the input example falls into the DMZ, we can pick out the adversarial example. More specifically, in this paper, we introduce DMZ in DNN classifiers and show an implementation of a DMZ-enabled defense named zHoneypot. We integrate the current SOTA (state-of-the-art) adversarial example defense methods, i.e., mitigation and detection, into a single approach zHoneypot, we show experimentally that DMZ-protected models can proper handling adversarial examples which generated by state-of-the-art white-box attacks (such as FGSM, PGD, CW, OnePixel and DeepFool) with high accuracy, and with negligible impact on normal benign model. In the end, our defense method achieved a score of 97.66 on MNIST, 86.1 on CIFAR10, and 90.94 on SVHN.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380776","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

Design of a flow detection system for high pressure reducing valves in ships 船舶高压减压阀流量检测系统的设计

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031899

Jing Rui, Lidong Zhang

引用次数: 0

On-chain federated learning approach for Internet of Vehicles 用于车联网的链上联合学习方法

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031889

Chen Fang, Wenkai Di, Mengqi Cao

{"title":"On-chain federated learning approach for Internet of Vehicles","authors":"Chen Fang, Wenkai Di, Mengqi Cao","doi":"10.1117/12.3031889","DOIUrl":"https://doi.org/10.1117/12.3031889","url":null,"abstract":"In the field of telematics, the nature of traffic data leads to its scattering, involving numerous traffic objects with individual sensitive information. Consequently, sharing a large amount of data becomes difficult, resulting in the existence of \"data silos\". To address this issue, this paper proposes a scheme that combines coalition learning and blockchain for the purpose of data sharing and privacy protection. The scheme involves modeling multi-source vehicle data using federated learning and storing the trained model parameters and reputation values of participating vehicles on the blockchain. Furthermore, a reputation value calculation method based on the double subjective logic model is proposed, which analyzes the impact of data source quality on the performance of the federated learning algorithm. This calculation method helps in the selection of the client for federated learning, ensuring efficient screening of data sources, improving sharing efficiency, and achieving privacy protection in data sharing. Finally, a simulation analysis is conducted to evaluate the proposed scheme, and the results demonstrate its capability to filter high-quality data sources in real-time dynamic data exchange scenarios of telematics, thereby enhancing the accuracy of federated learning training.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381107","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

Zero trust-based federated autonomous technology for code repository 基于零信任的联合自主代码库技术

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031893

Fuxi Wang, Bo Shen, Xi Zhao, Jian Huang

引用次数: 0

Efficient multiparty private set intersection protocol based on function secret sharing 基于函数秘密共享的高效多方私有集合相交协议

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031902

Zhen Sun

引用次数: 0

Evaluation of civil aircraft project management capability based on improved analytic hierarchy process algorithm 基于改进的层次分析法算法的民用飞机项目管理能力评估

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032036

Zhuo Chen

引用次数: 0

Prediction and application of wax thickness on tube wall based on improved DGM (1,1) model 基于改进的 DGM (1,1) 模型的管壁蜡厚度预测与应用

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3032055

Changkun Cheng, Menglong Zhao, Hui Shen, Benquan Li, Yanping Liu, Pei Yang

{"title":"Prediction and application of wax thickness on tube wall based on improved DGM (1,1) model","authors":"Changkun Cheng, Menglong Zhao, Hui Shen, Benquan Li, Yanping Liu, Pei Yang","doi":"10.1117/12.3032055","DOIUrl":"https://doi.org/10.1117/12.3032055","url":null,"abstract":"In order to study the change of wax deposition thickness with time, an improved DGM (1,1) model was established based on the grey theory model. Taking indoor loop experiment and field pipeline data as examples, the weakening buffer operator and translation transform were introduced to improve the smoothness of the original sequence, and the different models were tested and compared. The results show that the average relative error of the traditional DGM (1,1) model is large, and the error of the improved model is greatly reduced after the weakening buffer operator treatment, and the d2 operator is more suitable for predicting the wax thickness of short sequence and wide spacing sequence. Translation transformation of the original sequence can improve the smoothness of the sequence, and different original sequences have selectivity on the offset of translation transformation function. The effect of weakening buffer operator on model improvement is much better than that of translational transformation. It is feasible to use the modified GM (1,1) model to predict the wax thickness of tube wall, and this method has certain popularization value.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377565","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

Design method and system of software application based on intelligent terminal 基于智能终端的软件应用程序设计方法和系统

Other Conferences Pub Date : 2024-06-06 DOI: 10.1117/12.3031922

Tao Du

引用次数: 0