An Intuitive Study: Intrusion Detection Systems and Anomalies, How AI can be used as a tool to enable the majority, in 5G era

Shah, Siddhant; Bendale, Shailesh

doi:10.1109/iccubea47591.2019.9128786

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…Other general recommendations include hiding the user identities during service authentication, assuring robust access point/BS identity [Bouras et al, 2017b], detecting malicious signaling [Soldani, 2019], securing virtual infrastructure and NS [Panwar and Sharma, 2020], securing authentication chip [Xingzhong et al, 2019], preserving privacy [Nguyen et al, 2020b], providing intrusion detection system [Shah and Pramod Bendale, 2019], providing PLS [Singh et al, 2018], and providing service-oriented authentication protocols [Ni et al, 2018]. Figure 4 relates the papers and purpose (e.g., mitigate DDoS attacks).…”

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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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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“…In the Smurf attack, Internet Control Message Protocol (ICMP) can be used to broadcast a request from a target node, transmit network traffic, and slow down its transmission speed [3].…”

Section: Network Attacksmentioning

confidence: 99%

“…If DDoS attacks occur against the SDN server, the server's operation and contact capability would be overwhelmed and detected DDoS attacks in SDN using an ML-based model through feature selection methods. To simplify these models, feature selection methods were selected whose training time is comparatively shorter [3].…”

Section: Objectivesmentioning

confidence: 99%

Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

Shahzadi¹,

Ahmad²,

Basharat³

et al. 2021

Computers, Materials &Amp; Continua

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With the rising demand for data access, network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for access. To increase efficacy of Software Defined Network (SDN) and Network Function Virtualization (NFV) framework, we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency, reduce network performance, and increase maintenance cost. The existing frameworks lack in security, and computer systems face few abnormalities, which prompts the need for different recognition and mitigation methods to keep the system in the operational state proactively. The fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based structure. This research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized environment. The combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment, but as well as it provides the solution for critical problems specially regarding massive network traffic issues. The attacks have been expanding step by step; therefore, it is hard to recognize and protect by conventional methods. To overcome these issues, there must be an autonomous system to recognize and characterize the network traffic's abnormal conduct if there is any. Only four types of assaults, including HTTP Flood, UDP Flood, Smurf Flood, and SiDDoS Flood, are considered in the identified dataset, to optimize the stability of the SDN-NFV environment and security management, through several machine learning based characterization techniques like Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Logistic Regression (LR) and Isolation Forest (IF). Python is used for simulation purposes, including several valuable utilities like the mine package, the open-source Python ML libraries Scikit-learn, NumPy, SciPy, Matplotlib. Few Flood assaults and Structured Query Language (SQL) injections anomalies are validated and effectively-identified through the anticipated procedure. The classification results are promising and show that overall accuracy lies between 87% to 95% for SVM, LR, KNN, and IF classifiers in the scrutiny of traffic, whether the network traffic is normal or anomalous in the SDN-NFV environment.

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“…The same kind of solutions can be extended in the IoT environment for interoperability. The authors of the paper [28] give insights into the SDN and NFV implementation aspects for providing security. The same kind of security aspects need to be considered while combining the solution for IoT interoperability.…”

Section: Semantic Iot Interoperability Terminologiesmentioning

confidence: 99%

Semantic Internet of Things (IoT) Interoperability Using Software Defined Network (SDN) and Network Function Virtualization (NFV)

Prasad

Bendale²,

Prasad

2021

Semantic IoT: Theory and Applications

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In the coming few years, there is going to be rapid advancement in terms of technology like 5G, 6G, etc. When we think about 5G, the performance of the internet is going to increase multifold. The 5G i.e. fifth-generation network is going to be very heterogeneous. There is a need for a standardized solution to the issues in this technology. In this work, we are trying to understand the problems specifically in IoT (Internet of Things) area of 5G. In the literature survey, we found out that various solutions have been proposed in the area of the Internet of Things, but there is a lack of some generic solutions for all IoT projects. Every project works excellent in its closed and specified environment. When we try to connect multiple IoT projects, there is a big problem of interoperability. Some ICT standardization organizations have proposed some solutions to interoperability to overcome this scenario. Few solutions have been proposed by some authors to provide interoperability using semantic technologies. The solution for this problem of heterogeneous IoT can be provided using the semantic technologies in combination with that of SDN (Software Defined Network), NFV (Network Function Virtualization), and Cloud infrastructure.

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An Intuitive Study: Intrusion Detection Systems and Anomalies, How AI can be used as a tool to enable the majority, in 5G era

Cited by 8 publications

References 6 publications

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

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

Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

Semantic Internet of Things (IoT) Interoperability Using Software Defined Network (SDN) and Network Function Virtualization (NFV)

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