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  • Influence
“Andromaly”: a behavioral malware detection framework for android devices
TLDR
This article presents Andromaly—a framework for detecting malware on Android mobile devices. Expand
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N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders
TLDR
We propose a novel network-based anomaly detection method for the IoT called N-BaIoT that extracts behavior snapshots of the network and uses deep autoencoders to detect anomalous network traffic from compromised IoT devices. Expand
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Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
TLDR
We present Kitsune: a plug and play NIDS which can learn to detect attacks on the local network, without supervision, and in an efficient online manner. Expand
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Google Android: A Comprehensive Security Assessment
TLDR
This research provides a security assessment of the Android framework-Google's software stack for mobile devices. Expand
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Detecting unknown malicious code by applying classification techniques on OpCode patterns
TLDR
In previous studies classification algorithms were employed successfully for the detection of unknown malicious code. Expand
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Securing Android-Powered Mobile Devices Using SELinux
TLDR
Google's Android framework incorporates an operating system and software stack for mobile devices. Expand
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Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks
TLDR
This paper presents a study on detecting cyber attacks on industrial control systems (ICS) using convolutional neural networks. Expand
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A Survey of Data Leakage Detection and Prevention Solutions
TLDR
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Expand
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Automated Static Code Analysis for Classifying Android Applications Using Machine Learning
TLDR
In this paper we apply Machine Learning (ML) techniques on static features that are extracted from Android's application files for the classification of the files. Expand
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Google Android: A State-of-the-Art Review of Security Mechanisms
TLDR
This paper provides a comprehensive security assessment of the Android framework and the security mechanisms incorporated into it. Expand
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