Cyber & IT Supervisory Forum - Additional Resources

ARTIFICIAL INTELLIGENCE AND CYBERSECURITY RESEARCH

TABLE OF CONTENTS

EXECUTIVE SUMMARY

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TOP 5 RESEARCH NEEDS FOR AI AND CYBERSECURITY

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DEFINITION OF TERMS AND ABBREVIATIONS

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KEY AI CONCEPTS AND FEATURES

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1.1 TRADITIONAL ML

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1.1.1 Decision Trees (DT)

1.1.2 Support vector machines (SVM) 1.1.3 Naive Bayes’ classifier (NB) 1.1.4 K-means clustering (Clustering) 1.1.5 Hidden Markov Model (HMM)

1.1.6 Genetic algorithms (GA)

1.2 NEURAL NETWORKS

1.2.1 Artificial neural Networks (ANNs) 1.2.2 Convolutional Neural Networks (CNNs) 1.2.3 Recurrent Neural Networks (RNNs)

1.2.4 Autoencoders

1.2.5 Siamese Neural Networks (SNN)

1.2.6 Ensemble methods

1.3 RELEVANCE OF DEEP LEARNING (DL)-BASED APPROACHES

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1.4 COMMONLY-USED CYBERSECURITY DATA SETS

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AI IN CYBERSECURITY

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1.5 EXAMPLES OF USE-CASES

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1.5.1 Prevention 1.5.2 Detection

SECURING AI

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1.6 AI SECURITY

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1.7 AI-POWERED CYBERATTACKS

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1.8 DEFENDING AI-BASED MECHANISMS

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