Cover Image

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahsan, Mohammad Shamim, Liu, Peng
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
by: Chaudhary, Devashish, et al.
Published: (2026)

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)

A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
by: Menssouri, Safaa, et al.
Published: (2025)

Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
by: Bouferroum, Aymen, et al.
Published: (2026)

Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)

Evasion of IoT Malware Detection via Dummy Code Injection
by: Zargarzadeh, Sahar, et al.
Published: (2026)

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
by: Bas, Sumeyye, et al.
Published: (2025)

A systematic review of metaheuristics-based and machine learning-driven intrusion detection systems in IoT
by: Ahsan, Mohammad Shamim, et al.
Published: (2025)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
by: Emelianova, Natalia, et al.
Published: (2025)

Detecting Distributed Denial of Service Attacks Using Logistic Regression and SVM Methods
by: Ullah, Mohammad Arafat, et al.
Published: (2024)

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
by: Ghajari, Ghazal, et al.
Published: (2025)

Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)

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

Backdoor Attacks on Contrastive Continual Learning for IoT Systems
by: Tim, Alfous, et al.
Published: (2026)

SunBlock: Cloudless Protection for IoT Systems
by: Safronov, Vadim, et al.
Published: (2024)

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)

Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling
by: Ozechi, Samuel, et al.
Published: (2026)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)

MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks
by: Lian, Wei, et al.
Published: (2026)

Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
by: Alaiz-Moreton, Hector, et al.
Published: (2024)

Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)

A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
by: Panopoulos, Ioannis, et al.
Published: (2026)

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
by: Panopoulos, Ioannis, et al.
Published: (2025)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
by: Palmese, Fabio, et al.
Published: (2025)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
by: Ghajari, Ghazal, et al.
Published: (2025)

CAN-Trace Attack: Exploit CAN Messages to Uncover Driving Trajectories
by: Lin, Xiaojie, et al.
Published: (2025)

Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
by: Mainuddin, Md, et al.
Published: (2024)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
by: Carnier, Rodrigo Matos, et al.
Published: (2025)

Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning
by: Zhang, Yiwei, et al.
Published: (2024)

Learning to Attack: Uncovering Privacy Risks in Sequential Data Releases
by: Cui, Ziyao, et al.
Published: (2025)

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
by: Boswell, Bradley, et al.
Published: (2025)

Lightweight Strategy for XOR PUFs as Security Primitives for Resource-constrained IoT device
by: Li, Gaoxiang, et al.
Published: (2022)

An Adaptive End-to-End IoT Security Framework Using Explainable AI and LLMs
by: Baral, Sudipto, et al.
Published: (2024)

Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
by: Shohan, Nizo Jaman, et al.
Published: (2025)

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
by: Guerra-Manzanares, Alejandro, et al.
Published: (2026)