检索结果-内蒙古大学图书馆

14th International Conference on Computer engineering and Networks, CENet 2024

作者： Chen, Shun-Chao Zhu, Tao Pang, Zi-An Xu, Chen Department of Computer Information and Cyber Security Key Laboratory of Digital Forensics Department of Public Security of Jiangsu Province Jiangsu Police Institute Engineering Research Center of Electronic Data Forensics Analysis Jiangsu Province NAN Jing210031 China

ISBN: (纸本)9789819642281

With the rapid development of online We Media, it is not easy to monitor and guide massive public opinion information. The massive forwarding, emotional polarization, and mixed rumors of blog posts are highly likely to cause online public opinion events. A Weibo public opinion monitoring system based on bidirectional encoder representation from transformers (BERT) is proposed to support the full lifecycle guidance for public opinion. After Weibo text data is crawled from blog posts of important informants according to the lifecycle stages, and preprocessed for data cleaning and text vectorization, an emotional tendency classification and rumor detection model with the way of ensemble learning is proposed with the latent Dirichlet allocation (LDA) model and three BERT-based combining model. For extracting emotional tendency information efficiently, the LDA model is applied to extract topics on emotional polarity in blog posts. In order to address the issue of long text data caused by the lifting of restrictions on short posts on Weibo, three BERT-based model are ensembled together to achieve better performance. The experiment test demonstrates that the evolution of online public opinion can be described efficiently by this system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： BERT LDA public opinion monitoring We Media

来源：评论

学校读者我要写书评

暂无评论

APK Automated Analysis System Based on Machine Learning 14th

APK Automated Analysis System Based on Machine Learning

引用

14th International Conference on Computer engineering and Networks, CENet 2024

作者： Tang, Keyan Liang, Guangjun Chen, Mengxuan Lu, You Zhang, Yang Xu, Zhongping Xu, Yiquan Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing China Engineering Research Center of Electronic Data Forensics Analysis Nanjing China Key Laboratory of Digital Forensics Department of Public Security of Jiangsu Province Nanjing China

ISBN: (纸本)9789819642441

This article first analyzes and compares the advantages and disadvantages of various traditional data mining methods and machine learning algorithms. Then, a new model for identifying Android malicious code was proposed: an Android malicious code detection model based on Java code analysis and deep learning algorithms. The model first extracts Java source code from Android software packages. Furthermore, based on the object-oriented features of the Java language, an inheritance and cross reference relationship graph between various classes is constructed, and the graph is mapped to a grayscale image through its adjacency matrix. Finally, a CNN model is used for classification training to identify malicious programs. By analyzing and comparing the advantages and disadvantages of various feature extraction and selection methods. Using data cleaning and principal component analysis to remove features unrelated to classification, thereby reducing data complexity and improving model prediction accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Java programming language

来源：评论

学校读者我要写书评

暂无评论

Deployment of Co-operative Farming Ecosystems Using Blockchain 22nd

Deployment of Co-operative Farming Ecosystems Using Blockcha...

引用

22nd International Conference on Hybrid Intelligent Systems, HIS 2022 and the 18th International Conference on Information Assurance and security, IAS 2022

作者： Mahapatra, Aishwarya Gupta, Pranav Swarnkar, Latika Gupta, Deeya Kar, Jayaprakash Centre for Cryptography Cyber Security and Digital Forensics Department of Computer Science & Engineering Department of Communication & Computer Engineering The LNM Institute of Information Technology Jaipur India

ISBN: (纸本)9783031274084

Blockchain has helped us in designing and developing decentralised distributed systems. This, in turn, has proved to be quite beneficial for various industries grappling with problems regarding a centralised system. So, we thought of exploring blockchain’s feasibility in the agricultural industry. India is a country where a large part of the population is still dependent on agriculture, however, there’s no proper system in use as yet that can help the farmers get the right price for their farm products and help the consumers get an affordable price for their ***, we propose a blockchain based decentralized marketplace where we will implement a collaborative model between farmers and consumers. This model will allow the farmers to record their potential crops and the expected output on decentralised ledger besides, enabling them to showcase their integrity and credibility to consumers. The consumers, on the other hand, can actually check everything about the farmers with the help of their information based on the previous supplies. This open and full proof digital market framework will thus reduce black marketing, hoarding, adulteration, etc. In this research paper, we have explored one possible blockchain model by creating a breach proof ledger of records. We have used solidity and ethereum frameworks for the working of the model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Metaverse security and forensics: VR Devices as an Example 14th

Metaverse Security and Forensics: VR Devices as an Example

引用

14th International Conference on Computer engineering and Networks, CENet 2024

作者： Su, Fu Liang, Guangjun Ni, Xueli Zhang, Qinrui Chen, Pu Liu, Jianning Li, Xiang Du, Hongtian Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing China Engineering Research Center of Electronic Data Forensics Analysis Nanjing China Department of Public Security of Jiangsu Province Key Laboratory of Digital Forensics Nanjing China

ISBN: (纸本)9789819642441

VR devices are a rapidly emerging type of sensory terminal device in the context of the metaverse, with its immersive use effects attracting a large number of users to experience. However, with the continuous development of virtual reality technology, an increasing number of criminal incidents in the virtual world have raised concerns. VR devices are developed based on the Android system but have their unique security mechanisms. Therefore, how to securely extract and preserve data from VR devices is a crucial concern for digital forensic practitioners. This paper first proposes a method for application data extraction and analysis in a non root environment within the VR ecosystem based on the Linux shared user id mechanism. This method utilizes Edge Developer Tools to debug Vuplex 3D Webview, enabling the extraction of internal storage data from embedded web pages within the application. Subsequently, a combination of decompilation and packet capture techniques is used to analyze the data transmission methods and data interaction logic of applications in the VR ecosystem. Finally, based on the experimental results, a comprehensive assessment of the security of VR devices is conducted in the paper. Data extraction from VR devices is an indispensable part of digital forensics in the era of the metaverse. The research on methods for extracting and analyzing application data in the VR ecosystem in this paper provides valuable reference for future forensic work on VR devices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Computer forensics

来源：评论

学校读者我要写书评

暂无评论

Enhanced Prediction of Swimmer Fitness Using Modified Resilient PSO Algorithm

引用

Transactions of the Indian National Academy of engineering 2024年第4期9卷 903-915页

作者： Geetha Poornima, K. Krishna Prasad, K. Institute of Computer Science and Information Science Srinivas University Mangalore India Cyber Security and Cyber Forensics in the Institute of Engineering and Technology Srinivas University Mangalore India

Sports develop both physical and mental growth of an individual. In order to enhance the physical and mental health effectively and effortlessly, swimming is considered to be one of the healthier activities, in developing the metabolism via flexibility, weight loss, reducing asthma and enhancing the fitness levels of the body. In most of the cases, existing studies provide the current status of the swimmer by delivering details like time taken by the swimmers to finish the lap or location of the swimmer, however they lack in identifying the calorie level reduction of the swimmer during the swimming, as, the detection of calories burnt by the swimmer helps in overcoming issues like loss of weight and other health risk rates. Therefore, proposed study intensifies in achieving the prediction of the fitness of a swimmer as the primitive activity in view of reducing the calories by using PSO algorithm using resilient based techniques for enhanced exploration ability and using modified resilient PSO in order to tune the hyper parameter of the random forest for better optimization outcome. Modified resilient PSO helps in preventing the over-fitting of the model and delivering enhanced global solutions. Besides, hyper parameter are tuned in the Random Forest (RF), Decision Tree (DT), AdaBoost and Support Vector Machine (SVM) regression model for an error free outcome and with satisfactory performance analytical values. Finally, the performance of the proposed model is assessed using performance metrics such as R-square, RMSE, MSE and MAE, unveiling the effectiveness of the projected approach MPSO-XG-Boost. The projected model has achieved effectual outcomes encompassing less error rate based outcomes in ranges of 0.037, 0.191, 0.059, 0.9. Further, the proposed is compared with the existing models in order to determine the efficiency of the proposed framework.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of an Automated APK Analysis System for Practical forensics 13th

Design and Implementation of an Automated APK Analysis Syste...

引用

13th International Conference on Computer engineering and Networks, CENet 2023

作者： Li, Yicheng Liang, Guangjun Tang, Keyan Teng, Yijia Ruan, Haoran Mo, Zixi Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing China Engineering Research Center of Electronic Data Forensics Analysis Nanjing China Key Laboratory of Digital Forensics Department of Public Security of Jiangsu Province Nanjing China

ISBN: (纸本)9789819992386

In order to cope with the widespread emergence of malicious APK in the application market and the increasingly rampant situation of mobile malware, as well as to meet the needs of the actual forensics work, this paper, based on the analysis of Android security mechanisms and their security problems, analyses and summarises the methodological principles, main technologies and functional flaws of existing APK automated analysis tools, and proposes an APK automated analysis system for actual forensics. Compared with traditional systems, the system is easy to operate and has a higher recognition accuracy rate. Besides, it will perform machine learning on the analysis results and calculate the similarity through the model to effectively assist the forensic work and fill the demand for APK analysis in the field of combat. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Malware

来源：评论

学校读者我要写书评

暂无评论

Effectiveness of a touch-based hand therapeutic application for hand dexterity in children with handwriting difficulties-a pilot study

引用

Multimedia Tools and Applications 2024年 1-35页

作者： Smitha, John Renumol, V.G. School of Computer Science and Technology Division of Data Science and Cyber Security Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore India School of Engineering Cochin University of Science and Technology Kochi India

Handwriting is an important skill for children during their academic years. It is the coordination of perceptual-motor and cognitive abilities. Some children have difficulties in handwriting, which is an indication of issues in their fine motor skills. Nowadays, technology-based instructions are available to develop fine motor skills in children with handwriting disabilities. This paper describes the details of a newly developed software application namely ‘HanDex’ for children with handwriting difficulties and the experiments conducted to test its effectiveness. The application comprises six hand therapeutic activities which were designed based on the oscillation theory of handwriting. Initially, in the first phase, the experiments were conducted in nine primary school children from various schools, aged 8–12 years. Then, in the second phase, the software training was given to six upper primary school children (10–12 years) with handwriting issues. The results of using this application were promising. So one more study was conducted in another set of nine children (8–11 years) with handwriting difficulties. The participants were assessed by their special educators, class teachers and parents. After the pretest, they received a total of 18 handwriting practice sessions using this new application. At the end of the training sessions, a post test was conducted, to measure the progress in handwriting. The handwriting rubrics with eight handwriting parameters such as letter formation, placement, letter sizing, spacing of letters, legibility, speed, neatness, and spacing of words were used for handwriting assessment. The findings from the study suggested that touch-based hand therapeutic activities were beneficial for children with writing difficulties to improve their handwriting performance and tripod grip. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Children with handwriting difficulties Hand Dexterity Handwriting performance and tripod grip Tablet computer ‘HanDex’ Software

来源：评论

学校读者我要写书评

暂无评论

Aparecium:understanding and detecting scam behaviors on Ethereum via biased random Walk

引用

cybersecurity 2024年第3期7卷 16-31页

作者： Chuyi Yan Chen Zhang Meng Shen Ning Li Jinhao Liu Yinhao Qi Zhigang Lu Yuling Liu Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China School of Cyber Security University of Chinese Academy of SciencesBeijing 100049China School of Cyberspace Science and Technology Bejing Institute of TechnologyBeijing 100081China

Ethereum's high attention,rich business,certain anonymity,and untraceability have attracted a group of *** on it has become increasingly rampant,among which scam behavior is convenient,cryptic,antagonistic and resulting in large economic *** we consider the scam behavior on Ethereum and investigate it at the node interaction *** on the life cycle and risk identification points we found,we propose an automatic detection model named ***,a graph generation method which focus on the scam life cycle is adopted to mitigate the sparsity of the scam ***,the life cycle patterns are delicate modeled because of the crypticity and antagonism of Ethereum scam *** experiments in the wild Ethereum datasets,we prove Aparecium is effective which the precision,recall and F1-score achieve at 0.977,0.957 and 0.967 respectively.

关键词： Blockchain Network security Ethereum Scam detection Behavior understanding

来源：评论

学校读者我要写书评

暂无评论

A Police UAV System Based on Target Recognition 13th

A Police UAV System Based on Target Recognition

引用

13th International Conference on Computer engineering and Networks, CENet 2023

作者： Qiu, Zhenyu Liang, Guangjun Du, Hongtian Yan, Bohan Peng, Jiahao Ju, Zexin Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing China Engineering Research Center of Electronic Data Forensics Analysis Nanjing China Key Laboratory of Digital Forensics Department of Public Security of Jiangsu Province Nanjing China

ISBN: (纸本)9789819992386

The As a kind of aircraft without carrying operators, unmanned aerial vehicle (UAV) has been rapidly developed in the civil field. It is widely used in police, urban management, agriculture, geology, meteorology, electric power, disaster relief and other industries. However, the current police UAV still has shortcomings in specific target recognition and tracking. Therefore, the police UAV equipped with target recognition technology is designed in this project to enhance its performance. The project also investigates the materials and structure of police UAV, and focuses on target recognition systems which use sensors and algorithms to identify, classify and track targets, providing support for autonomous navigation and surveillance of UAV. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Minimizing CNOT-count in quantum circuit of the extended Shor’s algorithm for ECDLP

引用

cybersecurity 2025年第1期8卷 153-179页

作者： Xia Liu Huan Yang Li Yang State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijingChina School of Cyber Security University of Chinese Academy of SciencesBeijingChina Beijing Youzhuju Network Technology Co. Ltd.BeijingChina

The elliptic curve discrete logarithm problem(ECDLP)is a popular choice for cryptosystems due to its high level of ***,with the advent of the extended Shor’s algorithm,there is concern that ECDLP may soon be *** the algorithm does ofer hope in solving ECDLP,it is still uncertain whether it can pose a real threat in *** the perspective of the quantum circuits of the algorithm,this paper analyzes the feasibility of cracking ECDLP using an ion trap quantum computer with improved quantum circuits for the extended Shor’s *** give precise quantum circuits for extended Shor’s algorithm to calculate discrete logarithms on elliptic curves over prime felds,including modular subtraction,three diferent modular multiplication,and modular ***,we incorporate and improve upon windowed arithmetic in the circuits to reduce the *** previous studies mostly focused on minimizing the number of qubits or the depth of the circuit,we focus on minimizing the number of CNOT gates in the circuit,which greatly afects the running time of the algorithm on an ion trap quantum ***,we begin by presenting implementations of basic arithmetic operations with the lowest known CNOT-counts,along with improved constructions for modular inverse,point addition,and windowed ***,we precisely estimate that,to execute the extended Shor’s algorithm with the improved circuits to factor an n-bit integer,the CNOT-count required is1237n^(3)/log n+2n^(2)+***,we analyze the running time and feasibility of the extended Shor’s algorithm on an ion trap quantum computer.

关键词： Elliptic curve discrete logarithm problem Extended Shor’s algorithm Quantum circuits Ion trap quantum computer

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：