Biblio
Filters: Keyword is network crime [Clear All Filters]
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2022. A Crawler-based Digital Forensics Method Oriented to Illegal Website. 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). 5:1883—1887.
There are a large number of illegal websites on the Internet, such as pornographic websites, gambling websites, online fraud websites, online pyramid selling websites, etc. This paper studies the use of crawler technology for digital forensics on illegal websites. First, a crawler based illegal website forensics program is designed and developed, which can detect the peripheral information of illegal websites, such as domain name, IP address, network topology, and crawl key information such as website text, pictures, and scripts. Then, through comprehensive analysis such as word cloud analysis, word frequency analysis and statistics on the obtained data, it can help judge whether a website is illegal.
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2017. Research on Cyber Crime Threats and Countermeasures about Tor Anonymous Network Based on Meek Confusion Plug-in. 2017 International Conference on Robots Intelligent System (ICRIS). :246–249.
According to the new Tor network (6.0.5 version) can help the domestic users easily realize "over the wall", and of course criminals may use it to visit deep and dark website also. The paper analyzes the core technology of the new Tor network: the new flow obfuscation technology based on meek plug-in and real instance is used to verify the new Tor network's fast connectivity. On the basis of analyzing the traffic confusion mechanism and the network crime based on Tor, it puts forward some measures to prevent the using of Tor network to implement network crime.