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Exploiting Temporal Persistence to Detect Springer Linkspringer.com

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von F Giroire · · Zitiert von: 114 — Exploiting Temporal Persistence to Detect Covert Botnet Channels. Frederic Giroire,; Jaideep Chandrashekar,; Nina Taft,; Eve Schooler & … Dina Papagiannaki. › chapter

How Healthy are Today's Enterprise Networks?Microsoft

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— Saikat Guha ,; Jaideep Chandrasekhar ,; Nina Taft ,; Dina Papagiannaki. Proceedings of Internet Measurement Conference (IMC) | October › en-us

Evading Anomaly Detection through Variance Injection Attacks on PCA |...

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Whenever machine learning is applied to security problems, it is important to measure vulnerabilities to adversaries who poison the training data. We...

Exploiting Temporal Persistence to Detect Covert Botnet Channels |...

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We describe a method to detect botnet command and control traffic and individual end-hosts. We introduce the notion of “destination traffic atoms” which...

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Veröffentlichungen allgemein Nina Taft

Exploiting Temporal Persistence to Detect Springer Linkspringer.com

How Healthy are Today's Enterprise Networks?Microsoft

Evading Anomaly Detection through Variance Injection Attacks on PCA |...

Exploiting Temporal Persistence to Detect Covert Botnet Channels |...