Secure Knowledge Management In The Artificial Intelligence Era: 9th International Conference, SKM 2021, San Antonio, TX, USA, October 8–9, 2021, ... in Computer and Information Science)

This book constitutes the refereed proceedings of the 9th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2021, held in San Antonio, TX, USA, in 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 30 submissions. They were organized according to the following topical sections: ​intrusion and malware detection; secure knowledge management; deep learning for security; web and social network. Preface Organization Abstracts of Invited Talks Privacy - Challenges and Directions Building the UA/Eller/MIS AZSecure Cybersecurity Analytics Program: My Journey Cybersecurity: AI vs AI Women in Cyber Security at the International Conference on Secure Knowledge Management in the Artificial Intelligence Era Contents Intrusion and Malware Detection Adversarial Robustness of Image Based Android Malware Detection Models 1 Introduction 2 Proposed Framework for Adversarial Robustness 2.1 Proposed Framework Workflow 2.2 Structure of the Classification Pipeline 2.3 Adversarial Evasion Attack Using ECO-FGSM 2.4 Defence Strategy Using Adversarial Retraining 3 Experimental Setup 3.1 Dataset Collection 3.2 Feature Extraction 3.3 Classification Pipeline 3.4 Performance Metrics 4 Experimental Results 4.1 Permission/Intent Based E-CNN Malware Detection 4.2 Proposed ECO-FGSM Attack Against Baseline Models 4.3 Adversarial Retraining and Robustness of Models 5 Related Work 6 Conclusion References DyPolDroid: Protecting Users and Organizations from Permission-Abuse Attacks in Android 1 Introduction 2 Background and Problem Statement 2.1 Android Permissions 2.2 Android Enterprise 2.3 The Behavior of Android Applications 2.4 Problem Statement 3 Our Approach: Dynamic Permission Updates for Potential PA-Apps via the Android Enterprise 3.1 Behavioral Patterns 3.2 Writing Counter-Policies 3.3 Discovering Behavioral Patterns 3.4 Device Policies and Enforcement 4 Preliminary Evaluation 5 Related Work 6 Conclusions and Future Work References Metacognitive Skills in Phishing Email Detection: A Study of Calibration and Resolution 1 Introduction 2 Calibration and Resolution: Conceptualizations 3 Theoretical Basis and Hypotheses 4 Research Method and Results 5 Discussion and Conclusions 5.1 Contributions of the Study 5.2 Implications of the Study 5.3 Limitations of the Study References Secure Knowledge Management Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review 1 Introduction 2 About Deep Reinforcement Learning 3 About Threat Detection and Protection Systems 3.1 Taxonomy of Intrusion Detection and Prevention Systems 3.2 Taxonomy of Endpoint Detection and Protection Systems 4 DRL for Network Intrusion Detection Systems (NIDS) 4.1 DRL for Anomalous Network Traffic (Binary) Classification 4.2 DRL for Anomalous Activity Type Classification in Network Traffic 4.3 DRL for Sampling Anomalies 4.4 DRL for Botnet Detection Evasion 5 DRL for Endpoint Detection and Protection Systems 5.1 DRL for Assisting Existing Classification System 5.2 DRL for Adversarial Attacks on Existing Classifiers and Subsequent Defense 6 Conclusion References A Framework for Syntactic and Semantic Quality Evaluation of Ontologies 1 Introduction 2 Related Work 3 Proposed Framework 3.1 Stage 1: SynEvaluator 3.2 Stage 2: SemValidator 4 Experiments 4.1 Syntactic Quality Evaluation Using SynEvaluator 4.2 Semantic Quality Validation Using SemValidator 5 Conclusion and Future Work References Deep Learning for Security Attribute-Based Access Control Policy Review in Permissioned Blockchain 1 Introduction 2 Related Work 3 Background 3.1 Hyperledger Fabric 3.2 Policy Machine Basic Elements and Relations 4 Policy Review Problem in Policy Machine 5 Policy Review Algorithm 5.1 Derived Functions 5.2 Groups of Attribute Enabling Authorization and Revocation 5.3 Revocation and Constrained Authorization Methodology 6 System Implementation and Evaluation 6.1 Blockchain Implementation of Policy Machine 6.2 Performance Evaluation 7 Conclusion References Learning Password Modification Patterns with Recurrent Neural Networks 1 Introduction 2 Related Work 2.1 Dictionary Attacks 2.2 Rule-Based Attacks 2.3 Neural Network-Based Guessing 3 Dataset 4 Password Prediction Process 4.1 Tagging 4.2 Classification 4.3 Password Generation 4.4 Direct Password Prediction 4.5 Prediction on a Reversed Dataset 5 Experimental Results 5.1 Hardware Requirements 5.2 Results 6 Discussion 7 Conclusion and Future Work References Analyzing CNN Models' Sensitivity to the Ordering of Non-natural Data 1 Introduction 2 Related Work 2.1 Convolutional Neural Networks and Non-natural Data 2.2 Convolutional Neural Networks and Security 3 Methodology 3.1 Dataset - Metric by Process Grids 3.2 Row and Column Ordering Algorithms 4 Evaluation 4.1 Test Beds 4.2 CNN Models - Chosen Through Experimentation 4.3 Result Plots 5 Conclusion 5.1 Future Work References Web and Social Network Dealing with Complexity for Immune-Inspired Anomaly Detection in Cyber Physical Systems 1 Introduction 2 Preliminaries 2.1 Negative Selection 2.2 Related Work 3 Immune-Inspired Anomaly Detection 3.1 Dataset 3.2 Data Pre-processing 3.3 Implementation 3.4 Analysis of the ASTC Algorithm 3.5 Proposed Models with Dimensionality Reduction 3.6 Evaluation 4 Conclusion References RQ Labs: A Cybersecurity Workforce Talent Program Design 1 Introduction 2 Motivation 3 Literature Review 4 Program Design Methodology 5 Cybersecurity Workforce Talent Program Design 6 Evaluation of Program Design 7 Discussion and Conclusion 8 Contributions and Future Research Direction References Do Fake News Between Different Languages Talk Alike? A Case Study of COVID-19 Related Fake News 1 Introduction 2 Related Work 2.1 Fake News in Multiple Languages 2.2 Deception Behavior in Different Languages 3 Methods 3.1 Dataset 3.2 Data Preprocessing and Behavior Extraction 3.3 Transformer-Based Topic Modeling (TM2) 3.4 Evaluation Setting and Measures 4 Results and Discussion 4.1 Results for Content-Based Behavior: Topic Modeling 4.2 Results for Linguistic Behavior 5 Conclusion References Author Index