垂直应用移动网络安全的挑战与机遇:调查

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-09-21 DOI:10.1145/3696446
Álvaro Sobrinho, Matheus Vilarim, Amanda Barbosa, Edmar Candeia Gurjão, Danilo F. S. Santos, Dalton Valadares, Leandro Dias da Silva
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引用次数: 0

摘要

确保第五代(5G)移动通信系统和前几代系统中垂直应用的安全性至关重要。这些系统必须优先维护服务和数据的保密性、完整性和可用性。垂直应用的例子包括智能城市、智能交通、公共服务、工业 4.0、智能电网、智能健康和智能农业。每个垂直应用都有特定的安全要求,并在移动网络环境中面临独特的威胁。因此,实施全面、稳健的安全措施至关重要。这种方法有助于最大限度地减少攻击面并有效管理风险。本调查深入研究了垂直应用中的移动网络及其安全挑战,揭示了相关威胁和潜在解决方案。我们的研究考虑了 5G、传统网络和垂直应用中的安全因素之间的相互作用。我们强调了这一领域的挑战、机遇和未来的研究方向,以及在不断发展的移动技术环境中确保垂直应用安全的重要性。
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Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey
Ensuring the security of vertical applications in fifth-generation (5G) mobile communication systems and previous generations is crucial. These systems must prioritize maintaining the confidentiality, integrity, and availability of services and data. Examples of vertical applications include smart cities, smart transportation, public services, Industry 4.0, smart grids, smart health, and smart agriculture. Each vertical application has specific security requirements and faces unique threats within the mobile network environment. Thus, it is essential to implement comprehensive and robust security measures. This approach helps minimize the attack surface and effectively manage risks. This survey thoroughly examines mobile networks and their security challenges in vertical applications, shedding light on associated threats and potential solutions. Our study considers the interplay between security considerations in 5G, legacy networks, and vertical applications. We emphasize the challenges, opportunities, and promising directions for future research in this field and the importance of securing vertical applications in the evolving landscape of mobile technology.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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