13th International Conference on Computational Intelligence in Security for Information Systems CISIS 2020 1st edition by Daniel Urd,Carlos Cambra,lvaro Herrero- Ebook PDF Instant Download/Delivery:9783030578046,3030578046
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ISBN 10:3030578046
ISBN 13:9783030578046
Author: Daniel Urd,Carlos Cambra,lvaro Herrero
This book contains accepted papers presented at CISIS 2020 held in the beautiful and historic city of Burgos (Spain), in September 2020. The aim of the CISIS 2020 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of computational intelligence, information security, and data mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a thorough peer-review process, the CISIS 2020 International Program Committee selected 43 papers which are published in these conference proceedings achieving an acceptance rate of 28%. Due to the COVID-19 outbreak, the CISIS 2020 edition was blended, combining on-site and on-line participation. In this relevant edition, a special emphasis was put on the organization of five special sessions related to relevant topics as Fake News Detection and Prevention, Mathematical Methods and Models in Cybersecurity, Measurements for a Dynamic Cyber-Risk Assessment, Cybersecurity in a Hybrid Quantum World, Anomaly/Intrusion Detection, and From the least to the least: cryptographic and data analytics solutions to fulfil least minimum privilege and endorse least minimum effort in information systems. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the CISIS conference would not exist without their help.
13th International Conference on Computational Intelligence in Security for Information Systems CISIS 2020 1st Table of contents:
Cryptocurrencies and Blockchain
Attacking with Bitcoin: Using Bitcoin to Build Resilient Botnet Armies
Blockchain-Based Systems in Land Registry, A Survey of Their Use and Economic Implications
The Evolution of Privacy in the Blockchain: A Historical Survey
Securing Cryptoasset Insurance Services with Multisignatures
Building an Ethereum-Based Decentralized Vehicle Rental System
Machine Learning
Off-Line Writer Verification Using Segments of Handwritten Samples and SVM
A Comparative Study to Detect Flowmeter Deviations Using One-Class Classifiers
IoT Device Identification Using Deep Learning
Impact of Current Phishing Strategies in Machine Learning Models for Phishing Detection
Crime Prediction for Patrol Routes Generation Using Machine Learning
Applications
Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud
Short Message Multichannel Broadcast Encryption
Cybersecurity Overview of a Robot as a Service Platform
Probabilistic and Timed Analysis of Security Protocols
Domain Knowledge: Predicting the Kind of Content Hosted by a Domain
Evidence Identification and Acquisition Based on Network Link in an Internet of Things Environment
Proposition of Innovative and Scalable Information System for Call Detail Records Analysis and Visualisation
Automatic Detection of Sensitive Information in Educative Social Networks
Special Session: Fake News Detection and Prevention
Detection of Artificial Images and Changes in Real Images Using Convolutional Neural Networks
Distributed Architecture for Fake News Detection
Multi-stage News-Stance Classification Based on Lexical and Neural Features
Fake News Detection
Application of the BERT-Based Architecture in Fake News Detection
Special Session: Mathematical Methods and Models in Cybersecurity
Simulating Malware Propagation with Different Infection Rates
A Data Quality Assessment Model and Its Application to Cybersecurity Data Sources
Towards Forecasting Time-Series of Cyber-Security Data Aggregates
Hybrid Approximate Convex Hull One-Class Classifier for an Industrial Plant
Special Session: Measurements for a Dynamic Cyber-risk Assessment
Traceability and Accountability in Autonomous Agents
The Order of the Factors DOES Alter the Product: Cyber Resilience Policies’ Implementation Order
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
A New Approach for Dynamic and Risk-Based Data Anonymization
Special Session: Cybersecurity in a Hybrid Quantum World
An Innovative Linear Complexity Computation for Cryptographic Sequences
Randomness Analysis for GSS-sequences Concatenated
Study of the Reconciliation Mechanism of NewHope
Securing Blockchain with Quantum Safe Cryptography: When and How?
Blockchain in Education: New Challenges
Special Session: Anomaly/Intrusion Detection
Impact of Generative Adversarial Networks on NetFlow-Based Traffic Classification
Hybrid Model for Improving the Classification Effectiveness of Network Intrusion Detection
Adaptive Approach for Density-Approximating Neural Network Models for Anomaly Detection
Systematic Mapping of Detection Techniques for Advanced Persistent Threats
Neural Network Analysis of PLC Traffic in Smart City Street Lighting Network
Beta-Hebbian Learning for Visualizing Intrusions in Flows
Detecting Intrusion via Insider Attack in Database Transactions by Learning Disentangled Representation with Deep Metric Neural Network
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Daniel Urd,Carlos Cambra,lvaro Herrero,International,Computational,Security