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Titlebook: Applications and Techniques in Information Security; International Confer Lynn Batten,Gang Li,Matthew Warren Conference proceedings 2014 Sp

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發(fā)表于 2025-3-21 16:42:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Applications and Techniques in Information Security
期刊簡(jiǎn)稱(chēng)International Confer
影響因子2023Lynn Batten,Gang Li,Matthew Warren
視頻videohttp://file.papertrans.cn/160/159236/159236.mp4
發(fā)行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
學(xué)科分類(lèi)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Applications and Techniques in Information Security; International Confer Lynn Batten,Gang Li,Matthew Warren Conference proceedings 2014 Sp
影響因子This book constitutes the refereed proceedings of the International Conference on Applications and Techniques in Information Security, ATIS 2014, held in Melbourne, Australia, in November 2014. The 16 revised full papers and 8 short papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on applications; curbing cyber crimes; data privacy; digital forensics; security implementations.
Pindex Conference proceedings 2014
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書(shū)目名稱(chēng)Applications and Techniques in Information Security影響因子(影響力)




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A Competitive Three-Level Pruning Technique for Information Securityollowing three categories: ranking based, clustering based, and optimization based methods. The present paper introduces and investigates a new pruning technique. It is called a Three-Level Pruning Technique, TLPT, because it simultaneously combines all three approaches in three levels of the proces
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Popularity Prediction of Tianya BBS Posts Based on User Behaviorpropose a popularity prediction model based on user behavior and historical information given by early popularity. Our approach is validated on datasets consisting of posts on Tianya BBS. Our experimental results show that the prediction accuracy is significantly improved with existing methods. We a
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Design and Implementation of Network User Behaviors Analysis Based on Hadoop for Big Dataer behaviors to prevent the potential threats. However, the user behaviors are dynamic which is difficult to capture the users’ comprehensive behaviors in a single device by capturing or collecting the static dataset. More specially, the increase of the network users, network traffic and network ser
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Modeling and Analysis of Network Survivability under Attack Propagationo correlated faults from the natural disasters and malicious attack. Particularly, malicious attacks attract more attention rather than natural disasters recently. This paper investigates network survivability in the presence of network attack propagation. Especially, a continuous-time Markov chain
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