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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 
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 
Phishing Website URL’s Detection Using NLP and Machine Learning Techniques
《Journal on Artificial Intelligence》2023年第1期145-162,共18页Dinesh Kalla Sivaraju Kuraku 
Phishing websites present a severe cybersecurity risk since they can lead to financial losses,data breaches,and user privacy violations.This study uses machine learning approaches to solve the problem of phishing webs...
关键词:CYBERSECURITY artificial intelligence machine learning NLP phishing detection spam detection phinshing website URLs 
Effective and Lightweight Defenses Against Website Fingerprinting on Encrypted Traffic
《国际计算机前沿大会会议论文集》2022年第2期33-46,共14页Chengpu Jiang Zhenbo Gao Meng Shen 
supported by the National Key R&D Program of China under Grant 2020YFB1006101;the Beijing Nova Program under Grant Z201100006820006;the NSFC Project under Grant 61972039.
Recently,website fingerprinting(WF)attacks that eavesdrop on the web browsing activity of users by analyzing the observed traffic can endanger the data security of users even if the users have deployed encrypted proxi...
关键词:Encrypted traffic Website fingerprinting PRIVACY 
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