Lipase
发表于 2025-3-21 18:04:31
书目名称Recent Advances in Intrusion Detection影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0822813<br><br> <br><br>书目名称Recent Advances in Intrusion Detection读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0822813<br><br> <br><br>
Obliterate
发表于 2025-3-21 23:10:51
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IST
发表于 2025-3-22 03:13:26
Robin Sommer,Davide Balzarotti,Gregor MaierUp-to-date results.Fast-track conference proceedings.State-of-the-art research
欺骗世家
发表于 2025-3-22 07:15:42
Conference proceedings 2011, USA in September 2011. The 20 papers presented were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on application security; malware; anomaly detection; Web security and social networks; and sandboxing and embedded environments.
Capitulate
发表于 2025-3-22 10:20:07
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chance
发表于 2025-3-22 15:48:18
Recent Advances in Intrusion Detection978-3-642-23644-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
朴素
发表于 2025-3-22 19:37:27
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BRAVE
发表于 2025-3-22 22:51:29
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urethritis
发表于 2025-3-23 03:51:32
Banksafe Information Stealer Detection Inside the Web Browserffectiveness of our solution with evaluations of the detection and classification of samplesets consisting of several malware families targetting the Microsoft Windows operating system. Furthermore we show the effective prevention of possible false positives of the approach.
tendinitis
发表于 2025-3-23 08:32:12
Die Free or Live Hard? Empirical Evaluation and New Design for Fighting Evolving Twitter Spammerss well as our proposed ones. Through our experiments, we show that our new designed features are effective to detect Twitter spammers, achieving a much higher detection rate than three state-of-the-art approaches while keeping an even lower false positive rate.