Titlebook: Research in Attacks, Intrusions, and Defenses; 20th International S Marc Dacier,Michael Bailey,Manos Antonakakis Conference proceedings 201

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CREEK

Research in Attacks, Intrusions, and Defenses978-3-319-66332-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

啞劇

addict

Restenosis

floodgate

DRILL

VDF: Targeted Evolutionary Fuzz Testing of Virtual Deviceseen virtual devices implemented within the QEMU hypervisor, executing over two billion test cases and revealing over one thousand unique crashes or hangs in one third of the tested devices. Our custom test case minimization algorithm further reduces the erroneous test cases into only 18.57% of the original sizes on average.

Gudgeon

ILAB: An Interactive Labelling Strategy for Intrusion Detectionble with a real-world annotation project carried out on a large unlabelled NetFlow dataset originating from a production environment. We provide an open source implementation (.) to allow security experts to label their own datasets and researchers to compare labelling strategies.

mucous-membrane

Android Malware Clustering Through Malicious Payload Miningique and an efficient bit-vector format to represent Android apps. Experimental results demonstrate that our clustering approach achieves precision of 0.90 and recall of 0.75 for Android Genome malware dataset, and average precision of 0.98 and recall of 0.96 with respect to manually verified ground-truth.

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