Framework for Security Event Management in 5G

Adam, Iris; Ping, Jing

doi:10.1145/3230833.3233254

Cited by 14 publications

(6 citation statements)

References 5 publications

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“…The threats and security challenges can be addressed under this category can include: Insecure APIs Interfaces, Malicious insiders, Account hijacking, Fraud. Possible actions can be taken for enhancement could be: Standardization of log formats, Log monitoring, Heuristic control and use of specialized systems, integration with physical security (cameras and phones) [58,59].…”

Section: Cloud Information Security and Event Managementmentioning

confidence: 99%

Lightweight Cryptographic Techniques and Cybersecurity Approaches

2022

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Section: Cloud Information Security and Event Managementmentioning

confidence: 99%

Lightweight Cryptographic Techniques and Cybersecurity Approaches

2022

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“…Security information event management solutions [127], [128], [157] utilize ML to detect ongoing security threats, anomalies, and intrusions in network elements and orchestrate automated responses. Human approval and surveillance can be part of reactive ML-based security solutions, particularly when the correct autonomous behavior in every situation cannot be trusted.…”

Section: ) Reactive Defenses In 5g Platformsmentioning

confidence: 99%

Machine Learning Threatens 5G Security

et al. 2020

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Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of mobile networks. However, ML will also open the network to several serious cybersecurity vulnerabilities. Most of the learning in ML happens through data gathered from the environment. Un-scrutinized data will have serious consequences on machines absorbing the data to produce actionable intelligence for the network. Scrutinizing the data, on the other hand, opens privacy challenges. Unfortunately, most of the ML systems are borrowed from other disciplines that provide excellent results in small closed environments. The resulting deployment of such ML systems in 5G can inadvertently open the network to serious security challenges such as unfair use of resources, denial of service, as well as leakage of private and confidential information. Therefore, in this article we dig into the weaknesses of the most prominent ML systems that are currently vigorously researched for deployment in 5G. We further classify and survey solutions for avoiding such pitfalls of ML in 5G systems.

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“…Moreover, telecommunication carriers would prefer an open system to avoid enclosure by a single vendor. For example, the open interface of Radio Access Network (RAN) is discussed and standardized in ORAN alliance 2 . Because of the above situation, we have to take care of supply-chain risks.…”

Section: Supply-chain Risksmentioning

confidence: 99%

“…The security services are provided as virtual functions and security service chaining is performed. Adam and Ping have proposed a framework for security event management [2]. The proposed framework performs automated event data collection across layers such as a telecommunication layer and an IaaS layer for monitoring of shared resources.…”

Section: Related Workmentioning

confidence: 99%

Security Architecture for Trustworthy Systems in 5G Era

Sasaki¹,

Shuichi²,

Tani³

et al. 2020

Preprint

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Systems using 5G are expected to be used in various cases of Society 5.0 and Industrie 4.0 such as smart cities, smart factories, and also critical infrastructures. These systems are essential for our life, thus cyberattacks against the system must be prevented. In this paper, we tackle two problems posed by 5G features: system construction using multi-vendor devices and softwarized functions. Specifically, there are supply-chain risks that malicious devices are used in the construction phase. Moreover, the softwarized network functions are easy to be attacked compared to hardware. To cope with these problems, we propose a concept of architecture comprising a blockchain to record security events including supply-chain information and a tamper detection engine to ensure the integrity of software components in 5G system. We implement the initial prototype of the architecture and show its feasibility.

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Framework for Security Event Management in 5G

Cited by 14 publications

References 5 publications

Lightweight Cryptographic Techniques and Cybersecurity Approaches

Lightweight Cryptographic Techniques and Cybersecurity Approaches

Machine Learning Threatens 5G Security

Security Architecture for Trustworthy Systems in 5G Era

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