A novel architecture and algorithm for web page change detection

Varshney, Naveen Kumar; Sharma, Dilip Kumar

doi:10.1109/iadcc.2013.6514326

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…There are several methods of crawling the news with predicting a new news post. First, the novel architecture and algorithm for web page change detection [9], time complexity is small but does not detect changes in the structure of the tags so it is not adaptive and prone to duplication of records.…”

Section: Introductionmentioning

confidence: 99%

Web Scraping for Estimating new Record from Source Site

2023

IJCATR

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Study in the Competitive field of Intelligent, and studies in the field of Web Scraping, have a symbiotic relationship mutualism. In the information age today, the website serves as a main source. The research focus is on how to get data from websites and how to slow down the intensity of the download. The problem that arises is the website sources are autonomous so that vulnerable changes the structure of the content at any time. The next problem is the system intrusion detection snort installed on the server to detect bot crawler. So the researchers propose the use of the methods of Mining Data Records and the method of Exponential Smoothing so that adaptive to changes in the structure of the content and do a browse or fetch automatically follow the pattern of the occurrences of the news. The results of the tests, with the threshold 0.3 for MDR and similarity threshold score 0.65 for STM, using recall and precision values produce f-measure average 92.6%. While the results of the tests of the exponential estimation smoothing using α = 0.5 produces MAE 18.2 datarecord duplicate. It slowed down to 3.6 datarecord from 21.8 datarecord results schedule download/fetch fix in an average time of occurrence news.

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Section: Introductionmentioning

confidence: 99%

Web Scraping for Estimating new Record from Source Site

2023

IJCATR

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A novel approach for webpage ranking using updated content

Ganeshiya

Sharma

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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Website Falsification Detection System Based on Image and Code Analysis for Enhanced Security Monitoring and Response

Kim¹,

Choi²,

Park³

et al. 2014

Journal of the Korea Institute of Information Security and Cryp

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New types of attacks that mainly compromise the public, portal and financial websites for the purpose of economic profit or national confusion are being emerged and evolved. In addition, in case of 'drive by download' attack, if a host just visits the compromised websites, then the host is infected by a malware. Website falsification detection system is one of the most powerful solutions to cope with such cyber threats that try to attack the websites. Many domestic CERTs including NCSC (National Cyber Security Center) that carry out security monitoring and response service deploy it into the target organizations. However, the existing techniques for the website falsification detection system have practical problems in that their time complexity is high and the detection accuracy is not high. In this paper, we propose website falsification detection system based on image and code analysis for improving the performance of the security monitoring and response service in CERTs. The proposed system focuses on improvement of the accuracy as well as the rapidity in detecting falsification of the target websites.

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A novel architecture and algorithm for web page change detection

Cited by 3 publications

References 13 publications

Web Scraping for Estimating new Record from Source Site

Web Scraping for Estimating new Record from Source Site

A novel approach for webpage ranking using updated content

Website Falsification Detection System Based on Image and Code Analysis for Enhanced Security Monitoring and Response

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