Hypothesis
发表于 2025-3-21 20:04:35
书目名称Artificial Intelligence for Cybersecurity影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162364<br><br> <br><br>书目名称Artificial Intelligence for Cybersecurity读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162364<br><br> <br><br>
上釉彩
发表于 2025-3-21 22:05:03
http://reply.papertrans.cn/17/1624/162364/162364_2.png
parasite
发表于 2025-3-22 02:47:12
http://reply.papertrans.cn/17/1624/162364/162364_3.png
Project
发表于 2025-3-22 04:49:47
https://doi.org/10.1007/978-1-349-15821-8ieving state-of-the-art results in many areas, it also has drawbacks exploited by many with white-box attacks. Although the white-box scenario is possible in malware detection, the detailed structure of antivirus is often unknown. Consequently, we focused on a pure black-box setup where no informati
克制
发表于 2025-3-22 10:05:31
http://reply.papertrans.cn/17/1624/162364/162364_5.png
猛烈责骂
发表于 2025-3-22 12:58:42
http://reply.papertrans.cn/17/1624/162364/162364_6.png
世俗
发表于 2025-3-22 20:28:31
https://doi.org/10.1007/978-3-642-35822-7ich uniquely distinguishes it from other typical malware threats. The C&C server sends commands to the botnets to execute malicious activities using common Internet protocols, such as Hypertext transfer (HTTP), and Internet Relay Chat (IRC). Since these protocols are common, detecting botnet activit
陪审团
发表于 2025-3-23 00:05:17
Class D Results and Simulations,r hand, the results can be hard to understand as to why a model classified a given file as malicious or benign. This paper focuses on the interpretability of machine learning models’ results using decision lists generated by two rule-based classifiers, I-REP and RIPPER. We use the EMBER dataset, whi
BALE
发表于 2025-3-23 03:09:46
Class D Results and Simulations,ntrol the propagation in mobile devices. According to Damballa’s Q4 State of Infections report, the antivirus products overlooked 70% of malware signatures within the first hour (Q4 2014 State of Infections Report. Q4 2014 state of infections report. ., accessed August 2021). This is despite the fac
灵敏
发表于 2025-3-23 07:01:38
https://doi.org/10.1007/978-3-031-40419-1gs generated by BERT. We extract the “words” directly from the malware samples to achieve multi-class classification. In fact, the attention mechanism of a pre-trained BERT model can be used in malware classification by capturing information about the relation between each opcode and every other opc