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Machine Learning for Cyber Security

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This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, ... Weiterlesen
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Beschreibung

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi'an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.



Inhalt

Network Data Collection, Fusion, Mining and Analytics for Cyber Security.- Malicious Web Request Detection Using Character-level CNN.- A LBP Texture Analysis Based Liveness Detection for Face Authentication.- A Survey on Deep Learning Techniques for Privacy-Preserving.- Quantifiable Network Security Measurement: A Study Based on an Index System.- CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications.- Password Guessing via Neural Language Modeling.- A Cooperative Placement Method for Machine Learning Workows and Meteorological Big Data Security Protection in Cloud Computing.- A Lightweight Certicateless User Authentication Scheme for the Mobile Environment.- Detection of GPS Spoofing Attack on Unmanned Aerial Vehicle System.- SwipeVLock: A Supervised Unlocking Mechanism Based on Swipe Behavior on Smartphones.- An Enumeration-like Vector Sampling Method for Solving Approximate SVP.- Secure Multiparty Learning from Aggregation of Locally Trained Models.- Data-Driven Android Malware Intelligence: A Survey.- Semantically Secure and Verifiable Multi-keyword Search in Cloud Computing.- Content Recognition of Network Traffic Using Wavelet Transform and CNN.- Compositional Information Flow Verification for Inter Application Communications in Android System.- Sharing Mechanism for Community Cyber Threat Intelligence Based on Multi-Agent System.- A Lightweight Secure IoT Surveillance Framework Based on DCT-DFRT Algorithms.- Interpretable Encrypted Searchable Neural Networks.- Game Theory Based Dynamic Defense Mechanism for SDN.- A Visualization-based Analysis on Classifying Android Malware.- Protecting the Visual Fidelity of Machine Learning Datasets Using QR Codes.- Reinforcement Learning Based UAV Trajectory and Power Control Against Jamming.- A fair and efficient secret sharing scheme based on cloud assisting.- Secure and Fast Decision Tree Evaluation on Outsourced Cloud Data.- Who Activated My Voice Assistant? A Stealthy Attack on Android phones without Users' Awareness.

Produktinformationen

Titel: Machine Learning for Cyber Security
Untertitel: Second International Conference, ML4CS 2019, Xi'an, China, September 19-21, 2019, Proceedings
Editor:
EAN: 9783030306199
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: IT & Internet
Anzahl Seiten: 398
Veröffentlichung: 11.09.2019
Dateigrösse: 35.8 MB

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