Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective

Ramezanpour, Keyvan; Jagannath, Jithin; Jagannath, Anu

doi:10.1016/j.comnet.2022.109515

Cited by 30 publications

(10 citation statements)

References 63 publications

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“…A Wi-Fi access point spans an area of up to 1 km radius. Wi-Fi networks are occasionally flooded with large amounts of data, and unintended users can gain access or cause interference due to poor encryption [148]. Cellular or mobile networks are characterized by high cost and high data throughput, reaching speeds of several Gbps, and low latency.…”

Section: Wireless Sensor Network For Water Quality Sensingmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

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Section: Wireless Sensor Network For Water Quality Sensingmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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“…A forking attack is particularly hazardous for users of personal IoT devices because if the forking attack is a hard attack, it is not reversible [111]. Further security concerns of blockchain have been highlighted by the authors of [112] who identified that blockchain on a wireless network that shares database access with the network is prone to a range of security threats that can result in cybercriminals emulating a hidden node. This can result in a MIM attack or spectrum hijacking.…”

Section: Volume 4 2022mentioning

confidence: 99%

Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions

2023

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The growth in the use of small sensor devices, commonly known as the Internet of Things (IoT), has resulted in unprecedented amounts of data being generated and captured. With the rapidly growing popularity of personal IoT devices, the collection of personal data through such devices has also increased exponentially. To accommodate the anticipated growth in connected devices, researchers are now investigating futuristic network technologies that are capable of processing large volumes of information at much faster speeds. However, the introduction of innovative network technologies coupled with existing vulnerabilities of personal IoT devices and insufficient device security standards is resulting in new challenges for the security of data collected on these devices. While existing research has focused on the technical aspects of security vulnerabilities and solutions in either network or IoT technologies separately, this paper thoroughly investigates common aspects impacting IoT security on existing and futuristic networks, including human-centric issues and the mechanisms that can lead to loss of confidentiality. By undertaking a comprehensive literature review of existing research, this article has identified five key areas that impact IoT security for futuristic next generation networks. Furthermore, by extensively analysing each area, the article reports on conclusive findings and future research opportunities for IoT privacy and security for the next generation of network technologies.

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“…The development of B5G/6G will impact the extension of many technologies, such as IoT devices, edge computing, fog computing etc. [1–5]. However, to maintain signal quality and customer coverage, Taiwan's four major telecom operators have introduced VoWi‐Fi calling services, which provide cellular calls and text messages to mobile users through home/public Wi‐Fi networks instead of cellular base stations.…”

Section: Introductionmentioning

confidence: 99%

VoWi‐Fi security threats: Address resolution protocol attack and countermeasures

Lu,

Liu,

Chang

et al. 2024

IET Networks

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B5G/6G networks are facing challenges in the deployment of additional base stations. However, Taiwan's four major operators have launched VoWi‐Fi calling services to maintain signal quality and coverage for customers. These services pose potential threats when users connect to untrusted Wi‐Fi networks. Therefore, the authors utilised commercial equipment to study the security of VoWi‐Fi calling services offered by Taiwan's four major telecom companies. The authors employed address resolution protocol attack methods to develop two verification attacks that bypass existing security measures: one for dropping session initiation protocol packets and the other for dropping voice call packets, both capable of circumventing current security defences. Through real‐world experiments, the authors confirmed their feasibility and assessed their potential harm. Consequently, two defence methods are proposed. The first is an anti‐attack algorithm for app and device manufacturers to detect the security of the user's calling environment. The second is a recommendation for telecom operators to implement new detection mechanisms to safeguard user rights.

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Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective

Cited by 30 publications

References 63 publications

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions

VoWi‐Fi security threats: Address resolution protocol attack and countermeasures

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