撒谎
发表于 2025-3-21 19:13:46
书目名称Detection of Intrusions and Malware, and Vulnerability Assessment影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0269228<br><br> <br><br>书目名称Detection of Intrusions and Malware, and Vulnerability Assessment读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0269228<br><br> <br><br>
exceptional
发表于 2025-3-21 22:30:03
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免除责任
发表于 2025-3-22 03:48:59
Juxtapp: A Scalable System for Detecting Code Reuse among Android Applicationsiracy, or are instances of known malware. We evaluate our system using more than 58,000 Android applications and demonstrate that our system scales well and is effective. Our results show that Juxtapp is able to detect: 1) . applications with confirmed buggy code reuse that can lead to serious vulne
fleeting
发表于 2025-3-22 05:01:21
ADAM: An Automatic and Extensible Platform to Stress Test Android Anti-virus SystemsWe demonstrate the efficacy of ADAM using 222 Android malware samples that we collected in the wild. Using ADAM, we generate different variants based on our collected malware samples, and evaluate the detection of these variants against commercial anti-virus systems.
相一致
发表于 2025-3-22 09:13:01
A Static, Packer-Agnostic Filter to Detect Similar Malware Samplesthe costly task of preliminary unpacking, but instead, operates directly on packed code. Our approach exploits the fact that current packers use compression and weak encryption schemes that do not break, in the packed versions, all the similarities existing between the original versions of two progr
观点
发表于 2025-3-22 13:58:13
Tracking Memory Writes for Malware Classification and Code Reuse Identification validate our proposed techniques, we analyzed 16,248 malware samples. We found that our techniques produce clusters with high accuracy, as well as interesting cases of code reuse among malicious programs.
观点
发表于 2025-3-22 17:09:28
NetGator: Malware Detection Using Program Interactive Challengese to correctly solve and respond to the challenge, NetGator flags the flow as potential malware. Our approach is seamless and requires no interaction from the user and no changes on the commodity application software. NetGator introduces a minimal traffic latency (0.35 seconds on average) to normal
沙文主义
发表于 2025-3-22 22:47:45
: Secure Smartphone-Assisted Login on Compromised Machines point of this proxy is that it can be accessed from untrusted or even compromised machines via a WiFi or a USB connection, so as to enable secure logins, while at the same time preventing the attacker (who is controlling the machine) from seeing crucial data like user credentials or browser cookies
phase-2-enzyme
发表于 2025-3-23 05:15:00
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不利
发表于 2025-3-23 07:56:01
Detection of Intrusions and Malware, and Vulnerability Assessment9th International Co