Cascading failure prediction and recovery in large-scale critical infrastructure networks: A survey

IF 3.8 2区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information and Software Technology Pub Date : 2025-03-04 DOI:10.1016/j.infsof.2025.107705

Beibei Li, Wei Hu, Chaoxuan Yuan, Xinxin Wang, Yiwei Li, Yibing Wu

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引用次数: 0

Abstract

Context:

Large-scale critical infrastructure (CI) networks are crucial to society but prone to cascading failures due to their dynamic and interconnected characteristics. Recent research focuses on their reliability, using network theories and real-world data to develop recovery functions and crash warning indicators.

Objective:

This review evaluates cascading failure prediction and recovery trends, examines verification methods, and addresses challenges in enhancing network reliability and topology recovery within CI systems.

Methods:

A comprehensive survey explores cascading failure prediction and recovery from two perspectives: inter-network and inter-module structures. It summarizes recent research trends, common verification platforms, and datasets for predicting and recovering from cascading failures.

Results:

The review focuses on low-dimensional static networks, revealing significant challenges in dynamic environments. It underscores the necessity for improved recovery techniques and enhanced network reliability.

Conclusion:

This article identifies future research directions and unresolved issues by analyzing existing work in cascading failure prediction and recovery. Understanding cascading failure mechanisms aims to inspire the design of more resilient and reliable network systems, contributing to developing cohesive and low-coupling CI systems.

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来源期刊

Information and Software Technology 工程技术-计算机：软件工程

CiteScore

9.10

自引率

7.70%

发文量

164

审稿时长

9.6 weeks

期刊介绍： Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information. The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.