Machine Learning, Deep Learning and AI for Cybersecurity

Edited by Mark Stamp () and Martin Jureček ()

in Springer Books from Springer

Date: 2025
ISBN: 978-3-031-83157-7
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Chapters in this book:

Image-Based Malware Classification Using QR and Aztec Codes

Atharva Khadilkar and Mark Stamp

Online Clustering of Known and Emerging Malware Families

Olha Jurečková, Martin Jureček and Mark Stamp

Comparing Balancing Techniques for Malware Classification

Ranjit John and Fabio Di Troia

Malware Classification Using a Hybrid Hidden Markov Model-Convolutional Neural Network

Ritik Mehta, Olha Jurečková and Mark Stamp

Selecting Representative Samples from Malware Datasets

Lukáš Děd and Martin Jureček

Applying Word Embeddings and Graph Neural Networks for Effective Malware Classification

Manasa Mananjaya and Fabio Di Troia

An Empirical Analysis of Hidden Markov Models with Momentum

Andrew Miller, Fabio Di Troia and Mark Stamp

Quantum Computing Methods for Malware Detection

Eliška Krátká and Aurél Gábor Gábris

Reducing the Surface for Adversarial Attacks in Malware Detectors

Benjamín Peraus and Martin Jureček

Effectiveness of Adversarial Benign and Malware Examples in Evasion and Poisoning Attacks

Matouš Kozák and Martin Jureček

A Comparative Analysis of SHAP and LIME in Detecting Malicious URLs

Ayush Nair and Fabio Di Troia

XAI and Android Malware Models

Maithili Kulkarni and Mark Stamp

Temporal Analysis of Adversarial Attacks in Federated Learning

Rohit Mapakshi, Sayma Akther and Mark Stamp

Federated Learning: An Overview of Attacks and Defense Methods

K. M. Sameera, Dincy R. Arikkat, P. Vinod, Rehiman K. A. Rafidha, Azin Aneez and Mauro Conti

An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack

Kunal Bhatnagar, Sagana Chattanathan, Angela Dang, Bhargav Eranki, Ronnit Rana, Charan Sridhar, Siddharth Vedam, Angie Yao and Mark Stamp

On the Steganographic Capacity of Selected Learning Models

Rishit Agrawal, Kelvin Jou, Tanush Obili, Daksh Parikh, Samarth Prajapati, Yash Seth, Charan Sridhar, Nathan Zhang and Mark Stamp

Robustness of Selected Learning Models Under Label-Flipping Attack

Sarvagya Bhargava and Mark Stamp

Steganographic Capacity of Transformer Models

Lei Zhang, Dong Li, Olha Jurečková and Mark Stamp

Distinguishing Chatbot from Human

Gauri Anil Godghase, Rishit Agrawal, Tanush Obili and Mark Stamp

Multimodal Deception Detection Using Linguistic and Acoustic Features

Tien Nguyen, Faranak Abri, Akbar Siami Namin and Keith S. Jones

Keystroke Dynamics for User Identification

Atharva Sharma, Martin Jureček and Mark Stamp

Enhancing Free Text Keystroke Authentication with GAN-Optimized Deep Learning Classifiers

Jonathan A. Bazan, Katerina Potika and Petros Potikas

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DOI: 10.1007/978-3-031-83157-7

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