5G Mobile Networks

Nguyen, Van Giang; Brunström, Anna; Grinnemo, Karl-Johan; Taheri, Javid

doi:10.1002/9781119293071.ch2

Cited by 12 publications

(2 citation statements)

References 16 publications

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“…These categories are: (i) enhanced mobile broadband (eMBB), (ii) ultra-reliable and low latency communication (uRLLC), and (iii) massive machine-type communication (mMTC), as depicted in Figure 4. Table 4 provides an overview of the essential 5G requirements related to SRPS from both user experience and network management perspectives [98]. The twelve 5G requirements can be grouped into user experience, network management, and hybrid requirements.…”

Section: E: Protection Of Subscriber's Identitymentioning

confidence: 99%

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Security Threats to 5G Networks for Social Robots in Public Spaces: A Survey

Oruma¹,

Petrović

2023

IEEE Access

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This paper surveys security threats to 5G-enabled wireless access networks for social robots in public spaces (SRPS). The use of social robots (SR) in public areas requires specific Quality of Service (QoS) planning to meet its unique requirements. Its 5G threat landscape entails more than cybersecurity threats that most previous studies focus on. This study examines the 5G wireless RAN for SRPS from three perspectives: SR and wireless access points, the ad hoc network link between SR and user devices, and threats to SR and users' communication equipment. The paper analyses the security threats to confidentiality, integrity, availability, authentication, authorisation, and privacy from the SRPS security objectives perspective. We begin with an overview of SRPS use cases and access network requirements, followed by 5G security standards, requirements, and the need for a more representative threat landscape for SRPS. The findings confirm that the RAN of SRPS is most vulnerable to physical, side-channel, intrusion, injection, manipulation, and natural and malicious threats. The paper presents existing mitigation to the identified attacks and recommends including physical level security (PLS) and post-quantum cryptography in the early design of SRPS. The insights from this survey will provide valuable risk assessment and management input to researchers, industrial practitioners, policymakers, and other stakeholders of SRPS.INDEX TERMS Social robots, 5G, threat landscape, security, privacy, centralised ledger databases, multiaccess edge computing (MEC).

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Section: E: Protection Of Subscriber's Identitymentioning

confidence: 99%

“…An efficient security design for 5G-enabled networks for SRPS will guarantee security at three levels: access, infrastructure and service. It will also ensure the security and safety of its enabling technologies [98].…”

Section: ) Massive Mimo (Multiple-input Multiple-output)mentioning

confidence: 99%

Security Threats to 5G Networks for Social Robots in Public Spaces: A Survey

Oruma¹,

Petrović

2023

IEEE Access

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Intelligent intrusion detection system in smart grid using computational intelligence and machine learning

Khan

Kifayat

Gurtov

et al. 2020

Trans Emerging Tel Tech

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Smart grid systems enhanced the capability of traditional power networks while being vulnerable to different types of cyber-attacks. These vulnerabilities could cause attackers to crash into the network breaching the integrity and confidentiality of the smart grid systems. Therefore, an intrusion detection system (IDS) becomes an important way to provide a secure and reliable services in a smart grid environment. This article proposes a feature-based IDS for smart grid systems. The proposed system performance is evaluated in terms of accuracy, intrusion detection rate (DR), and false alarm rate (FAR). The obtained results show that the random forest and neural network classifiers have outperformed other classifiers. We have achieved a 0.5% FAR on KDD99 dataset and a 0.08% FAR on the NSLKDD dataset. The DR and the testing accuracy on average are 99% for both datasets. INTRODUCTIONData-driven technologies is now applied to smart grid as a way of sustainable energy environment. This approach can be added to a cyber-physical system consisting of hardware, software, and other physical gears. Smart grid supplies electricity on-demand to end-users from centralized stations and distribute to generating stations using information and communication technologies. Energy supplier companies supply electricity at low cost and also control the end-user demand for supply. In the smart grid system, one of the significant issues is security. Many vulnerabilities exist in cyber-physical systems and hackers take advantage of vulnerabilities to launch malicious attacks on power systems. Security problems usually include authentication, data protection, availability, confidentiality, honesty, energy efficiency, single-point failures to be tested, and so on. 1 The attackers destroy a whole range of cyberspace in modern electronic warfare. In our societies cybercrimes proliferated. Attacks, hacking, and malicious practices such as viruses, trojans, and spamming are common risks to individuals and nations. The digital networks of cellular telephony, wireless sensor networks, satellites, tactical military communications, Internet of things, smart grids and supervisory control, and data acquisition are everything vulnerable to that kind of electronic attack. 2 A lot of work has been done on smart grid system implementation but the majority of work are not focusing on the security requirements for the smart grid systems. 3,4 Intrusion detection system (IDS) plays an essential role in cyber-attacks on smart grid systems and secures them against attacks. The IDS are part of the network security domain and play a vital role in protecting and maintaining a secure network. IDS system is represented in Figure 2. A typical IDS system examines and analyzes network traffic to detect and analyze attacks, and also to prevent any security violations by generating alarms for network administrator. There are two major types of IDS: host-based IDS and

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