Link analysis approach to improve detection of fragmentation attacks in Misuse IDS

Author(s):  
Olfa Ben Ahmed ◽  
Zied Choukai
2020 ◽  
Vol 13 (6) ◽  
pp. 178-188
Author(s):  
Myat Oo ◽  
◽  
May Lwin ◽  

Social media has become a popular platform to post or share personal information, opinion, photos, videos, etc. Detection of influential users is a significant problem in information diffusion or propagation. Previous researches find influential users based on follower or retweet relationships and centrality measurement approaches. In this paper, influential users are detected by network topology that was obtained from communication relationships among users, link analysis approach, and user’s profile features. The proposed approach aims to detect trending topic influencers. Firstly, communication relationships namely retweet, mention, and reply between users in a trending topic are extracted and a trending topic graph is constructed. Secondly, influential users are detected using a link analysis approach combined with the ability of users’ profile features. The performance of the system can be proved to compare with influencer detection methods. The experimental result shows that the trending topic influencers can detect using the interaction relationships and user’s features.


Author(s):  
Liwen Vaughan ◽  
Yijun Gao ◽  
Margaret E. I. Kipp

Motivations for the creation of hyperlinks to business sites were analyzed through a content analysis approach. Most links were created for business purposes confirming findings from early quantitative studies that links contain useful business data. Links to competitors were extremely rare but competitors were often co-linked, suggesting that co-link analysis is the direction to pursue for information on competitive intelligence.Les motivations pour la création d’hyperliens pour les sites commerciaux ont été analysées à l’aide de l’approche de l’analyse de contenu. La plupart des liens ont été créés dans l’objectif d’une utilisation commerciale, confirmant les résultats obtenus des études quantitatives préliminaires suggérant que ces liens contiennent des données commerciales utiles. Les liens vers la concurrence étaient extrêmement rares, cependant les concurrents étaient souvent co-liés, suggérant que l’analyse des co-liens est la voie à poursuivre en ce qui concerne l’information en veille concurrentielle. 


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