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Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Finally, the outcomes of various tree-based single classifiers are compared with those of stacking and voting ensemble classifiers.
AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity
This position paper explores the broad landscape of AI potentiality in the context of cybersecurity, with a particular emphasis on its possible risk factors with awareness, which can be managed by incorporating human experts in the loop, i. e., "Human-AI" teaming.
Security and Privacy for Artificial Intelligence: Opportunities and Challenges
The increased adoption of Artificial Intelligence (AI) presents an opportunity to solve many socio-economic and environmental challenges; however, this cannot happen without securing AI-enabled technologies.
A novel Two-Factor HoneyToken Authentication Mechanism
The majority of systems rely on user authentication on passwords, but passwords have so many weaknesses and widespread use that easily raise significant security concerns, regardless of their encrypted form.
Cryptography and Security
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications
This paper presents the description of new datasets, the so-called ToN_IoT, which involve federated data sources collected from telemetry datasets of IoT services, operating system datasets of Windows and Linux, and datasets of network traffic.
Cryptography and Security
