Proceedings of the International Conference on Applied Cybersecurity (ACS) 2023 / Hind Zantout, Hani Ragab Hassen, editors.

Intro
Preface
Conference Organization
Contents
Malicious Activity Detection Using AI
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
1 Introduction
2 Static Analysis Tool
3 Dynamic Analysis Tool
3.1 Feature Extraction
4 Conclusions
References
Android Malware Detection Using Control Flow Graphs and Text Analysis
1 Introduction
2 Related Work
3 Framework
3.1 Dataset
3.2 Data Extraction and Preprocessing
4 Experimental Results
5 Conclusion
References
NTFA: Network Flow Aggregator
1 Introduction

2 Related Work
3 Methodology
4 Evaluation
5 Conclusion
References
AI Applications in Cybersecurity
A Password-Based Mutual Authentication Protocol via Zero-Knowledge Proof Solution
1 Introduction
2 Related Work
3 Proposed Technique
4 Scheme Analysis and Performance
5 Conclusion
References
A Cross-Validated Fine-Tuned GPT-3 as a Novel Approach to Fake News Detection
1 Introduction
2 Related Work
3 Dataset
4 Model Description
5 Fine-Tuning
6 Results
7 Validation
8 Conclusion
References

Enhancing Efficiency of Arabic Spam Filtering Based on Gradient Boosting Algorithm and Manual Hyperparameters Tuning
1 Introduction
2 Related Works
3 Proposed Spam Filter
3.1 Pre-processing and Feature Extraction
3.2 Classification
4 Experimentation
4.1 Dataset
4.2 Results
5 Conclusion
References
Cyberbullying: A BERT Bi-LSTM Solution for Hate Speech Detection
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Preprocessing
3.2 BERT-Bi-LSTM
4 Experiment and Results
5 Conclusion
References
Author Index