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From Traces to Packets:Realistic Deep Learning Based Multi-Tab Website Fingerprinting Attacks
《Tsinghua Science and Technology》2025年第2期830-850,共21页Haoyu Yin Yingjian Liu Zhongwen Guo Yu Wang 
supported partially by the National Natural Science Foundation of China(Nos.62172378,61572448,and 61827810);by the National Key Research and Development Program of China(No.2020YFB1707701).
Recent advancements in deep learning(DL)have introduced new security challenges in the form of side-channel attacks.A prime example is the website fingerprinting attack(WFA),which targets anonymity networks like Tor,e...
关键词:website fingerprinting multi-tab website fingerprinting anonymity network deep learning side-channel attack 
APWF: A Parallel Website Fingerprinting Attack with Attention Mechanism
《Computers, Materials & Continua》2025年第2期2027-2041,共15页Dawei Xu Min Wang Yue Lv Moxuan Fu Yi Wu Jian Zhao 
supported by the National Defense Basic Scientific Research Program of China(No.JCKY2023602C026);the funding of Key Laboratory of Mobile Application Innovation and Governance Technology,Ministry of Industry and Information Technology(2023IFS080601-K).
Website fingerprinting (WF) attacks can reveal information about the websites users browse by de-anonymizing encrypted traffic. Traditional website fingerprinting attack models, focusing solely on a single spatial fea...
关键词:Website fingerprinting attack transfer learning concept drift 
CMAES-WFD:Adversarial Website Fingerprinting Defense Based on Covariance Matrix Adaptation Evolution Strategy
《Computers, Materials & Continua》2024年第5期2253-2276,共24页Di Wang Yuefei Zhu Jinlong Fei Maohua Guo 
the Key JCJQ Program of China:2020-JCJQ-ZD-021-00 and 2020-JCJQ-ZD-024-12.
Website fingerprinting,also known asWF,is a traffic analysis attack that enables local eavesdroppers to infer a user’s browsing destination,even when using the Tor anonymity network.While advanced attacks based on de...
关键词:Traffic analysis deep neural network adversarial sample TOR website fingerprinting 
Film and Television Website Scores Authenticity Verification Based on the Emotional Analysis
《Journal of Computer and Communications》2024年第2期231-245,共15页Weiyu Tong 
Sentiment analysis is a method to identify and understand the emotion in the text through NLP and text analysis. In the era of information technology, there is often a certain error between the comments on the movie w...
关键词:Bi-LSTM Model Film Review Emotion Analysis Naive Bayes PYTHON Data Crawl 
Image Recognition Model of Fraudulent Websites Based on Image Leader Decision and Inception-V3 Transfer Learning
《China Communications》2024年第1期215-227,共13页Shengli Zhou Cheng Xu Rui Xu Weijie Ding Chao Chen Xiaoyang Xu 
supported by the National Social Science Fund of China(23BGL272)。
The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current re...
关键词:fraudulent website image leaders telecom fraud transfer learning 
An Online Website Fingerprinting Defense Based on the Non-Targeted Adversarial Patch被引量:1
《Tsinghua Science and Technology》2023年第6期1148-1159,共12页Xiaodan Gu Bingchen Song Wei Lan Ming Yang 
This work was supported in part by the National Natural Science Foundation of China(Nos.62102084 and 62072103);Jiangsu Provincial Natural Science Foundation of China(No.BK20190340);Jiangsu Provincial Key R&D Program(Nos.BE2021729,BE2022680,and BE2022065-4);Jiangsu Provincial Key Laboratory of Network and Information Security(No.BM2003201);Key Laboratory of Computer Network and Information Integration of Ministry of Education of China(No.93K-9).
Website Fingerprinting(WF)attacks can extract side channel information from encrypted traffic to form a fingerprint that identifies the victim’s destination website,even if traffic is sophisticatedly anonymized by To...
关键词:website fingerprinting online defense adversarial patch traffic analysis 
A Machine Learning Approach for Phishing Attack Detection
《Journal of Artificial Intelligence and Technology》2023年第3期108-113,共6页Tarun Choudhary Siddhesh Mhapankar Rohit Bhddha Ashish Kharuk Rohini Patil 
Phishing is the easiest method for gathering sensitive information from unwary people.Phishers seek to get private data including passwords,login information,and bank account details.Cyber security experts are activel...
关键词:legitimate machine learning MALICIOUS PHISHING URL WEBSITE 
Negative Sentiment Shift on a Chinese Movie-Rating Website
《Journal of Social Computing》2023年第2期168-180,共13页Hongkai Mao 
Shifting to negativity is more and more prevalent in online communities and may play a key role in group polarization.While current research indicates a close relationship between group polarization and negative senti...
关键词:computational social science online community group polarization sentiment analysis user engagement negative sentiment 
Optimization of the Assessment Method Used in Web Design and Website Construction Course
《Journal of Contemporary Educational Research》2023年第5期6-10,共5页Yiyong Ye 
This work was supported by the 2021 High Quality Curriculum Construction and Innovation and Entrepreneurship Education Reform Project for Undergraduate Education at the School Level:Web Design and Website Construction(Project number:5071700304C8).
In this article,the shortcomings of the existing assessment method used in Web Design and Website Construction course are analyzed,and the assessment method is optimized based on the practice of project-based teaching...
关键词:Course assessment Web design Project-based teaching 
Multimodal Fraudulent Website Identification Method Based on Heterogeneous Model Ensemble
《China Communications》2023年第5期263-274,共12页Shengli Zhou Linqi Ruan Qingyang Xu Mincheng Chen 
supported by Zhejiang Provincial Natural Science Foundation of China(Grant No.LGF20G030001);Ministry of Public Security Science and Technology Plan Project(2022LL16);Key scientific research projects of agricultural and social development in Hangzhou in 2020(202004A06).
The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimensi...
关键词:telecom fraud crime fraudulent website data fusion deep learning 
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