Julian Jang‐Jaccard

Federal Department of Defence, Civil Protection and Sports — Switzerland

Computer Science · Physical Sciences

24h-index3.5kcitations123works0.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

Network Security and Intrusion Detection(48), Advanced Malware Detection Techniques(33), Anomaly Detection Techniques and Applications(29), Cloud Data Security Solutions(20), Information and Cyber Security(18)

Publications121 total

Analysis of Quantum Trends in Open Software Repositories and Financial News
2025Open Access
An Exploration of Strategic Tasks for the Sustainable Promotion of Stand-UP Paddleboard
Journal of Coaching Development·2025
Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications
arXiv (Cornell University)·2025Open Access
Multimodal Deep Learning for Android Malware Classification
Machine Learning and Knowledge Extraction·2025· 5 citedOpen Access
Relation-aware based Siamese Denoising Autoencoder for Malware Few-shot Classification
arXiv (Cornell University)·2024Open Access
Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex
arXiv (Cornell University)·2024Open Access
A Markov Game Model for Evaluating Cybersecurity Attacks on Cloud
Lecture notes in computer science·2024
Matrix Encryption Walks for Lightweight Cryptography
Cryptography·2023· 3 citedOpen Access
MAGNETO and DeepInsight: Extended Image Translation with Semantic Relationships for Classifying Attack Data with Machine Learning Models
Electronics·2023· 4 citedOpen Access
Blended threat prediction based on knowledge graph embedding in the IoBE
ICT Express·2023· 1 citedOpen Access
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
arXiv (Cornell University)·2023· 4 citedOpen Access
Task-Aware Meta Learning-Based Siamese Neural Network for Classifying Control Flow Obfuscated Malware
Future Internet·2023· 8 citedOpen Access
Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset
2023· 13 cited
Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data
arXiv (Cornell University)·2023· 6 citedOpen Access
Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution
Computers & Security·2023· 8 citedOpen Access
Generative Adversarial Networks for Malware Detection: a Survey
arXiv (Cornell University)·2023· 6 citedOpen Access
IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset
Journal Of Big Data·2023· 281 citedOpen Access
LSTM-Autoencoder-Based Anomaly Detection for Indoor Air Quality Time-Series Data
IEEE Sensors Journal·2023· 216 cited
Relation-Aware Based Siamese Denoising Autoencoder for Malware Few-Shot Classification
SSRN Electronic Journal·2023· 1 citedOpen Access
Network Intrusion Detection in Internet of Blended Environment Using Ensemble of Heterogeneous Autoencoders (E-HAE)
Computer Systems Science and Engineering·2023· 3 citedOpen Access
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Frequent Co-authors

Fariza Sabrina(12), ‪Surya Nepal‬(11), Hooman Alavizadeh(11), Dong Seong Kim(7), Sibghat Ullah Bazai(7), Wen Xu(6), Amardeep Singh(6), Jinting Zhu(5), Yuanyuan Wei(5), Seyit Camtepe(5), Paul Greenfield(5), Alan Fekete(5), Jin Kwak(4), Mikael Boulic(4), Paul Watters(4), Dean Kuo(4), Leila Alem(3), Jane Li(3), Tong Liu(3), Jin B. Hong(3)