Science of Cyber Security 1st edition by Wenlian Lu, Kun Sun, Moti Yun, Feng Liu – Ebook PDF Instant Download/DeliveryISBN: 3030891372, 9783030891374
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Product details:
ISBN-10 : 3030891372
ISBN-13 : 9783030891374
Author : Wenlian Lu, Kun Sun, Moti Yun, Feng Liu
This book constitutes the proceedings of the Third International Conference on Science of Cyber Security, SciSec 2021, held in Shanghai, China, in August 2021. The 17 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 50 submissions. These papers cover the following subjects: Cyber Security, Detection, Machine Learning and much more.
Science of Cyber Security 1st Table of contents:
- SARR: A Cybersecurity Metrics and Quantification Framework (Keynote)
- Detection for Cybersecurity
- Detecting Internet-Scale Surveillance Devices Using RTSP Recessive Features
- An Intrusion Detection Framework for IoT Using Partial Domain Adaptation
- Mining Trojan Detection Based on Multi-dimensional Static Features
- Botnet Detection Based on Multilateral Attribute Graph
- A New Method for Inferring Ground-Truth Labels and Malware Detector Effectiveness Metrics
- Machine Learning for Cybersecurity
- Protecting Data Privacy in Federated Learning Combining Differential Privacy and Weak Encryption
- Using Chinese Natural Language to Configure Authorization Policies in Attribute-Based Access Control System
- A Data-Free Approach for Targeted Universal Adversarial Perturbation
- Caps-LSTM: A Novel Hierarchical Encrypted VPN Network Traffic Identification Using CapsNet and LSTM
- Multi-granularity Mobile Encrypted Traffic Classification Based on Fusion Features
- Stochastic Simulation Techniques for Inference and Sensitivity Analysis of Bayesian Attack Graphs
- Simulations of Event-Based Cyber Dynamics via Adversarial Machine Learning
- Dynamics, Network and Inference
- Dismantling Interdependent Networks Based on Supra-Laplacian Energy
- DWT-DQFT-Based Color Image Blind Watermark with QR Decomposition
- A Multi-level Elastic Encryption Protection Model
- An Event-Based Parameter Switching Method for Controlling Cybersecurity Dynamics
- RansomLens: Understanding Ransomware via Causality Analysis on System Provenance Graph
- Correction to: Science of Cyber Security
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