:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Prasad, Sathvik, Nahapetyan, Aleksandr, Reaves, Bradley
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning Networking and Internet Architecture
Online Access:	https://arxiv.org/abs/2410.17361
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jäger: Automated Telephone Call Traceback
by: Adei, David, et al.
Published: (2024)

Secure and Efficient Out-of-band Call Metadata Transmission
by: Adei, David, et al.
Published: (2025)

Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
by: Islam, Md Ruman, et al.
Published: (2024)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
by: Vitorino, João, et al.
Published: (2024)

SISSA: Real-time Monitoring of Hardware Functional Safety and Cybersecurity with In-vehicle SOME/IP Ethernet Traffic
by: Liu, Qi, et al.
Published: (2024)

IoT Network Traffic Analysis with Deep Learning
by: Liu, Mei, et al.
Published: (2024)

MDHP-Net: Detecting an Emerging Time-exciting Threat in IVN
by: Liu, Qi, et al.
Published: (2024)

The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
by: Abdi, Nima, et al.
Published: (2024)

Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
by: Nkashama, D'Jeff K., et al.
Published: (2024)

Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
by: Vitorino, João, et al.
Published: (2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
by: Silva, Miguel, et al.
Published: (2024)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
by: Gajjar, Pranshav, et al.
Published: (2024)

Machine Learning-Based Malicious Vehicle Detection for Security Threats and Attacks in Vehicle Ad-hoc Network (VANET) Communications
by: Canh, Thanh Nguyen, et al.
Published: (2024)

Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness
by: elShehaby, Mohamed, et al.
Published: (2024)

Detection and classification of DDoS flooding attacks by machine learning method
by: Tymoshchuk, Dmytro, et al.
Published: (2024)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection
by: Cantone, Marco, et al.
Published: (2024)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
by: Kalwar, Jawad Hussain, et al.
Published: (2024)

Locality Sensitive Hashing for Network Traffic Fingerprinting
by: Mashnoor, Nowfel, et al.
Published: (2024)

Attacks Against Mobility Prediction in 5G Networks
by: Atiiq, Syafiq Al, et al.
Published: (2024)

LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
by: Mefgouda, Brahim, et al.
Published: (2024)

Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
by: Martinez, Fernando, et al.
Published: (2024)

Sequential Binary Classification for Intrusion Detection
by: Vasudevan, Shrihari, et al.
Published: (2024)

Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
by: Daum, Shilo, et al.
Published: (2024)

Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
by: Choorod, Pitpimon, et al.
Published: (2024)

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)

A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
by: Baidar, Rasil, et al.
Published: (2025)

How the Graph Construction Technique Shapes Performance in IoT Botnet Detection
by: Wasswa, Hassan, et al.
Published: (2026)

Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)

Dynamic Risk Assessment by Bayesian Attack Graphs and Process Mining
by: Vitale, Francesco, et al.
Published: (2026)

Reliable Hierarchical Operating System Fingerprinting via Conformal Prediction
by: Pérez-Jove, Rubén, et al.
Published: (2026)

Finding Effective Security Strategies through Reinforcement Learning and Self-Play
by: Hammar, Kim, et al.
Published: (2020)

Design and implementation of intelligent packet filtering in IoT microcontroller-based devices
by: Bertoli, Gustavo de Carvalho, et al.
Published: (2023)

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
by: Wu, Binghui, et al.
Published: (2023)

Adaptive Dual-Layer Web Application Firewall (ADL-WAF) Leveraging Machine Learning for Enhanced Anomaly and Threat Detection
by: Sameh, Ahmed, et al.
Published: (2025)

Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
by: Cai, Hanlin, et al.
Published: (2026)

Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets
by: Layeghy, Siamak, et al.
Published: (2021)

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
by: Alzubi, Saif, et al.
Published: (2026)

Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
by: Fathima, Quhura, et al.
Published: (2026)