A light-weighted ANN architecture for the classification of cyber-threats in modern communication networks

Ketzaki, Eleni; Drosou, Anastasios; Papadopoulos, Stavros; Tzovaras, Dimitrios

doi:10.1109/nof47743.2019.9015063

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…Other proposed solutions address secure handover (e.g., for heterogeneous IoT networks [153]), enabling devices to join domains with trust (e.g., using authentication frameworks [88,154,155] and protocols [156]). Some studies concern the proposal of improved authentication/authorization [157][158][159][160][161], architectures [162][163][164][165][166][167], lightweight security [168][169][170][171][172], security schemes (models or protocols) [58,62,[173][174][175], security platforms (or systems) [176][177][178][179][180], algorithms (or methods) [181][182][183][184][185], SDN/NFV-based core NS [186], anomaly/threat detection [118,[187][188][189][190], controlling NS access/use [191], ensuring NS isolation [192], ensuring intra-slice security…”

Section: Discussion and Future Research Directionsmentioning

confidence: 99%

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

Sobrinho,

Vilarim,

Barbosa

et al. 2023

Preprint

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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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Section: Discussion and Future Research Directionsmentioning

confidence: 99%

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

Sobrinho,

Vilarim,

Barbosa

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Other proposed solutions address the Physical Layer Security (PLS) for wireless networks [Nasir et al, 2019;Lin et al, 2020b;Dey et al, 2018;Yerrapragada et al, 2019;Li, 2019;Mazin et al, 2017;Yang et al, 2020;Lichtman et al, 2018;Jaiswal et al, 2021;Jiao et al, 2019;Tang et al, 2019;Forouzesh et al, 2019;Song et al, 2018;Zhao et al, 2017;Marabissi et al, 2020;Zhao et al, 2021c;Cheng et al, 2021]. Anomaly/threat detection is another focus of many of the proposed solutions [Ali and Ware, 2021;Priovolos et al, 2021;Nediyanchath et al, 2020;Ketzaki et al, 2019;Xu et al, 2019;Kim et al, 2021a;Lu et al, 2018;Surridge et al, 2018]. Studies also addressed the applicability of forensic solutions to 5G [Nieto, 2018;Ding et al, 2022a], privacy [Khan et al, 2019], and some others focus on the security of legacy networks (only mentioning possible future 5G applications) [Sheoran et al, 2019;Peltonen et al, 2021;Shaik et al, 2018Shaik et al, , 2019Liu et al, 2018;Deng et al, 2018;Baskaran and Raja, 2017].…”

Section: Smart Agriculturementioning

confidence: 99%

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

Sobrinho,

Santos,

Silva

et al. 2023

Preprint

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The deployment of 5G infrastructure is one of the main vectors for new application scenarios since it enables enhanced data bandwidth, low latency, and comprehensive signal coverage. As a result, this communication system supports various vertical applications such as the Industrial Internet of Things, smart health, smart cities, smart grids, and transportation systems. However, these applications bring new challenges to 5G networks due to specific requirements for such scenarios. Furthermore, as software-based technologies, including network slicing, software-defined networks, network function virtualization, and multi-access edge computing are a fundamental part of the 5G architecture, the network can expose these applications to new security and privacy concerns. This study summarizes the existing literature on 5G vertical applications security. We highlight vulnerabilities, threats, attacks, and solutions for 5G vertical applications. We conducted a Systematic Literature Mapping (SLM) to discuss security and privacy challenges regarding the 5G vertical applications. The SLM answered the following research question: what is the state-of-the-art regarding security in 5G networks and vertical applications? We reviewed 389 papers from 2,349 produced by searching with a curated search query and discussed vulnerabilities, threats, attacks, and solutions for 5G vertical applications. Smart cities, Industry 4.0, smart transportation, public services, smart grids, and smart health are vertical applications with relevant security concerns. We observed the need for more research since the 5G and vertical applications continuously evolve. This review also uncovers research gaps and future research directions.

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“…Ketzaki [28] proposed a light-weight IDS using ANN. This system is destined to secure modern communication systems (5G networks, IIoT networks, etc.).…”

Section: Related Workmentioning

confidence: 99%

An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms

Kasongo

2021

IEEE Access

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The evolution of the Internet and cloud-based technologies have empowered several organizations with the capacity to implement large-scale Internet of Things (IoT)-based ecosystems, such as Industrial IoT (IIoT). The IoT and, by virtue, the IIoT, are vulnerable to new types of threats and intrusions because of the nature of their networks. So it is crucial to develop Intrusion Detection Systems (IDSs) that can provide the security, privacy, and integrity of IIoT networks. In this research, we propose an IDS for IIoT that was implemented using the Genetic Algorithm (GA) for feature selection, and the Random Forest (RF) model was employed in the GA fitness function. The models used for the intrusion detection processes include classifiers such as the RF, Linear Regression (LR), Naïve Bayes (NB), Decision Tree (DT), Extra-Trees (ET), and Extreme Gradient Boosting (XGB). The GA-RF generated 10 feature vectors for the binary classification scheme and seven feature vectors for the multiclass classification procedure. The UNSW-NB15 is used to assess the effectiveness and the robustness of our proposed approach. The experimental outcomes demonstrated that for the binary modeling process, the GA-RF achieved a test accuracy (TAC) of 87.61% and an Area Under the Curve (AUC) of 0.98, using a feature vector that contained 16 features. These results were superior to existing IDS frameworks.

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A light-weighted ANN architecture for the classification of cyber-threats in modern communication networks

Cited by 7 publications

References 25 publications

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms

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