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Author International Conference on Computational Intelligence in Security for Information Systems (13th : 2020 : Burgos, Spain)

Title 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020) / Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado, editors
Published Cham : Springer, [2021]
©2021

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Description 1 online resource (xvii, 472 pages)
Series Advances in Intelligent Systems and Computing ; v. 1267
Advances in intelligent systems and computing ; 1267.
Contents Part I. 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 -- The evolution of privacy in the blockchain: a historical survey -- Securing Cryptoasset Insurance Services with Multisignatures -- Building an Ethereum-Based Decentralized Vehicle Rental System -- Part II 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 -- Part III. 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 -- Part IV. 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 direction -- Application of the BERT-Based Architecture in Fake News Detection -- Part V. 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 -- Part VI. 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 -- Part VII. 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 -- Part VIII. 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
Summary 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
Notes Includes author index
Print version record
Subject Computer networks -- Security measures -- Congresses
Computer security -- Congresses
Computational intelligence -- Congresses
Computational intelligence
Computer networks -- Security measures
Computer security
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Herrero, Alvaro.
Cambra, Carlos
Urda, Daniel
Sedano, Javier.
Quintián, Héctor.
Corchado, Emilio.
ISBN 9783030578053
3030578054
9783030578060
3030578062
Other Titles CISIS 2020