Copertina

A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Li, Shami, Abdallah
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Machine Learning Cryptography and Security Networking and Internet Architecture 68T01, 60L10, 68W27 I.2.1; I.2.6; C.2.0
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
di: Yang, Li, et al.
Pubblicazione: (2024)

Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-based Intrusion Detection System
di: Yang, Li, et al.
Pubblicazione: (2025)

Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
di: Yang, Li, et al.
Pubblicazione: (2025)

Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
di: Yang, Li, et al.
Pubblicazione: (2025)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
di: Dang, Kieu, et al.
Pubblicazione: (2025)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool
di: Lomasto, Luigi, et al.
Pubblicazione: (2026)

On measuring grounding and generalizing grounding problems
di: Quigley, Daniel, et al.
Pubblicazione: (2025)

An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
di: Consoli, Sergio, et al.
Pubblicazione: (2025)

Intersymbolic AI: Interlinking Symbolic AI and Subsymbolic AI
di: Platzer, André
Pubblicazione: (2024)

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
di: Berman, Shmuel, et al.
Pubblicazione: (2024)

Specification and Evaluation of Multi-Agent LLM Systems -- Prototype and Cybersecurity Applications
di: Härer, Felix
Pubblicazione: (2025)

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
di: Mitchell, Rupert, et al.
Pubblicazione: (2025)

DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
di: Lee, Chaeyoung, et al.
Pubblicazione: (2026)

Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring
di: Schaeffer, Joachim, et al.
Pubblicazione: (2026)

5G Traffic Prediction with Time Series Analysis
di: Nayak, Nikhil, et al.
Pubblicazione: (2021)

Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B
di: Zhang, Xue
Pubblicazione: (2025)

Structured Extraction of Vulnerabilities in OpenVAS and Tenable WAS Reports Using LLMs
di: Machado, Beatriz, et al.
Pubblicazione: (2025)

AnonLFI 2.0: Extensible Architecture for PII Pseudonymization in CSIRTs with OCR and Technical Recognizers
di: Kapelinski, Cristhian, et al.
Pubblicazione: (2025)

Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries
di: Alageel, Almuthanna, et al.
Pubblicazione: (2025)

A Comparative Study of Feature Selection in Tsetlin Machines
di: Halenka, Vojtech, et al.
Pubblicazione: (2025)

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews
di: Okpala, Izunna, et al.
Pubblicazione: (2025)

A Modular Cognitive Architecture for Assisted Reasoning: The Nemosine Framework
di: Melo, Edervaldo
Pubblicazione: (2025)

Semantically Guided Adversarial Testing of Vision Models Using Language Models
di: Filus, Katarzyna, et al.
Pubblicazione: (2025)

Efficient Telecom Specific LLM: TSLAM-Mini with QLoRA and Digital Twin Data
di: Ethiraj, Vignesh, et al.
Pubblicazione: (2025)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
di: Levin, Ilya
Pubblicazione: (2026)

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation
di: Gharami, Kanchon, et al.
Pubblicazione: (2025)

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
di: Ekle, Ocheme Anthony, et al.
Pubblicazione: (2025)

Binary Image-Based Intrusion Detection for Operational Technology Networks: Extending the SPHBI Methodology from IoT to Modbus TCP
di: Omar, Aamir
Pubblicazione: (2026)

Vibe-Creation: The Epistemology of Human-AI Emergent Cognition
di: Levin, Ilya
Pubblicazione: (2026)

Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning
di: Wang, Jian, et al.
Pubblicazione: (2025)

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics
di: Shafieinejad, Masoumeh, et al.
Pubblicazione: (2026)

Monotonicity as an Architectural Bias for Robust Language Models
di: Cooper, Patrick, et al.
Pubblicazione: (2026)

Epidemic Information Extraction for Event-Based Surveillance using Large Language Models
di: Consoli, Sergio, et al.
Pubblicazione: (2024)

Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
di: Maiden, Angus, et al.
Pubblicazione: (2023)

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
di: Zhao, Lepeng, et al.
Pubblicazione: (2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
di: Guo, Dongxin, et al.
Pubblicazione: (2026)

A V2X-based Privacy Preserving Federated Measuring and Learning System
di: Alekszejenkó, Levente, et al.
Pubblicazione: (2024)

A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
di: Gad, Eyad, et al.
Pubblicazione: (2025)

Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
di: Bian, Yijun, et al.
Pubblicazione: (2024)

Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
di: Bian, Yijun, et al.
Pubblicazione: (2024)