Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directions

Sensors, Год журнала: 2025, Номер 25(1), С. 213 - 213

Опубликована: Янв. 2, 2025

This paper provides the complete details of current challenges and solutions in cybersecurity cyber-physical systems (CPS) within context IIoT its integration with edge computing (IIoT–edge computing). We systematically collected analyzed relevant literature from past five years, applying a rigorous methodology to identify key sources. Our study highlights prevalent layer attacks, common intrusion methods, critical threats facing IIoT–edge environments. Additionally, we examine various types cyberattacks targeting CPS, outlining their significant impact on industrial operations. A detailed taxonomy primary security mechanisms for CPS is developed, followed by comparative analysis our approach against existing research. The findings underscore widespread vulnerabilities across architecture, particularly relation DoS, ransomware, malware, MITM attacks. review emphasizes advanced technologies, including machine learning (ML), federated (FL), blockchain, blockchain–ML, deep (DL), encryption, cryptography, IT/OT convergence, digital twins, as essential enhancing real-time data protection computing. Finally, outlines potential future research directions aimed at advancing this rapidly evolving domain.

Язык: Английский

---

A novel deep learning-based intrusion detection system for IoT DDoS security

Internet of Things, Год журнала: 2024, Номер 28, С. 101336 - 101336

Опубликована: Авг. 29, 2024

Язык: Английский

---

SPARK and SAD: Leading-Edge Deep Learning Frameworks for Robust and Effective Intrusion Detection in SCADA Systems

International Journal of Critical Infrastructure Protection, Год журнала: 2025, Номер unknown, С. 100759 - 100759

Опубликована: Март 1, 2025

Язык: Английский

---

FP-growth-based signature extraction and unknown variants of DoS/DDoS attack detection on real-time data stream

Journal of Information Security and Applications, Год журнала: 2025, Номер 89, С. 103996 - 103996

Опубликована: Фев. 7, 2025

Язык: Английский

---

Securing Industry 5.0: An explainable deep learning model for intrusion detection in cyber-physical systems

Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110161 - 110161

Опубликована: Фев. 21, 2025

Язык: Английский

---

Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments

Knowledge and Information Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 5, 2025

Язык: Английский

---

MULTI-BLOCK: A novel ML-based intrusion detection framework for SDN-enabled IoT networks using new pyramidal structure

Internet of Things, Год журнала: 2024, Номер 26, С. 101231 - 101231

Опубликована: Май 19, 2024

Язык: Английский

---

Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment

Knowledge and Information Systems, Год журнала: 2024, Номер 66(10), С. 6001 - 6050

Опубликована: Июнь 10, 2024

Язык: Английский

---

Towards intrusion detection in fog environments using generative adversarial network and long short-term memory network

Computers & Security, Год журнала: 2024, Номер 145, С. 104004 - 104004

Опубликована: Июль 27, 2024

Язык: Английский

---

CO-STOP: A Robust P4-Powered Adaptive Framework for Comprehensive Detection and Mitigation of Coordinated and Multi-Faceted Attacks in SD-IoT Networks

Computers & Security, Год журнала: 2025, Номер unknown, С. 104349 - 104349

Опубликована: Янв. 1, 2025

Язык: Английский

---