Keep Private Networks Private: Secure Channel-PUFs, and Physical Layer Security by Linear Regression Enhanced Channel Profiles

Lipps, Christoph; Mallikarjun, Sachinkumar Bavikatti; Strufe, Matthias; Heinz, Christopher; Grimm, Christoph; Schotten, Hans D.

doi:10.1109/icdis50059.2020.00019

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…Some of the identified solutions focus on the security and privacy of 5G in vertical applications such as smart transportation [Hussein et al, 2017;Falchetti et al, 2015;Li et al, 2021a;Eltahlawy and Azer, 2021;Lai et al, 2020Lai et al, , 2017Chopra et al, 2019;Hashem Eiza et al, 2016;Kim et al, 2021b;Almusaylim et al, 2018;Abdulqadder et al, 2021;Huang et al, 2020;Rahman et al, 2020;Nguyen et al, 2020c;Garg et al, 2019;Su et al, 2020;Sharma et al, 2020b;Hussain et al, 2021;Almusaylim et al, 2018;, Industry 4.0 [Al-Turjman and Alturjman, 2018;Chiarello et al, 2021;Lipps et al, 2019;Szymanski, 2017;Abdel-Basset et al, 2022], smart cities [Akhunzada et al, 2020;Shin et al, 2019;Abdel-Malek et al, 2021;Paolino et al, 2019], public services [Schmittner et al, 2017;Elmasry and Corwin, 2021], smart grids [Xuesong et al, 2021], and smart health [Ghassemian et al, 2020;Dzogovic et al, 2020;Somaya and Tomadar, 2019;Reddy Allugunti and Elango, 2018;Le and Hsu, 2021].…”

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

View full text Add to dashboard Cite

show abstract

“…The underlying SKG working principle, as depicted in Figure 4, is based on the five building blocks: Channel Measurement, Reciprocity Enhancement, Quantization, Information Reconciliation and Privacy Amplification; which are described in details for instance by (Lipps, et al, 2020). But as this is based on the propagation of electromagnetic waves, and therefore radio standard-independent, there is work transferring the "idea" to cellular systems, for instance.…”

Section: Wireless Secret Key Generationmentioning

confidence: 99%

“…Merely with the mobile RSSP the BDR could be reduced only to about 10% (the reasons for this are different, lie e.g. with interferences of the environment during the measurements) (Lipps, et al, 2020).…”

Section: Wireless Secret Key Generationmentioning

confidence: 99%

Physical Layer Security: About Humans, Machines and the Transmission Channel

Lipps

Schotten

2022

eccws

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In an increasingly interconnected and globalized world in which the volume but also the confidentiality of transmitted content is becoming ever more important, trust, confidence and trustworthiness are of fundamental importance. Particularly in human societies, this trust is established, sustained and strengthened by personal relationships and experiences. But, in a globally connected world with Cyber-Physical Production Systems (CPPS), Industrial Internet of Things (IIoT) and Digital Twins (DTs), these personal relationships do not longer exist. (Remote) access to systems is possible from anywhere on the globe. However, this implies that there have to be technical solutions to detect, identify and acknowledge entities -people and machines- in the networks and thus to establish an initial level of trust. Especially since the proliferation of appropriate use-cases, Physical Layer Security (PhySec) is becoming increasingly popular in the scientific community. Using systems' intrinsic information for security applications provides a lightweight but secure alternative to traditional computationally intensive and complex cryptography. PhySec is therefore not only suitable for the IIoT and the multitude of resource-limited devices and sensors, it also opens up alternatives in terms of scalability and efficiency. Moreover, it provides security aspects regarding the entropy H and Perfect Forward Secrecy (PFS). Therefore, this work provides insight into three major branches of PhySec: i) Human - Physically Unclonable Functions (PUFs) ii) silicon/electrical - PUFs, and iii) Channel-PUFs. Based on the PUF operating principle, the silicon derivatives consider the electrical properties of semiconductors. Individual and uninfluenceable deviations during the manufacturing process result in component-specific behavior, which is described in particular for Static- and Dynamic Random Access Memory (S-/DRAM). Following this PUF principle, human characteristics -biological, physiological and behavioral features-, are used to recognize and authenticate them. With respect to the wireless channel, the characteristic properties of electromagnetic wave propagation and the influences on the wireless channel -diffraction, reflection, refraction and scattering-, are used to achieve symmetric encryption of the channel. In addition to the "conventional" wireless PhySec, especially the development of the Sixth Generation (6G) Wireless Systems, opens up a wide range of possibilities in terms of PhySec, for example in relation to Visible Light Communication (VLC), Reconfigurable Intelligent Surfaces (RIS) and in general the application of frequencies in the (sub)THz range. Thus, the work provides an overview of PhySec fields of application in all areas of the IIoT: in terms of humans, machines, and the transmission channel.

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Connectivity in the era of the (I)IoT: about security, features and limiting factors of reconfigurable intelligent surfaces

Lipps,

Herbst,

Klingel

et al. 2023

Discov Internet Things

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What are the key drivers of the (Industrial) Internet of Things ((I)IoT)? Alongside the interconnection of the various devices, sensors, and actuators, it is above all the data collected and transmitted that is of particular significance, the (I)IoT itself is the source and recipient of various types of data. Within this, there are two main aspects that need to be considered: (i) the transmission of data with appropriate latency and reliability requirements, and (ii) the safeguarding of this data. Both requirements are taken into account during the development of the Sixth Generation (6G) Wireless Systems. This is conceived to deliver higher data rates, reduced cost deployment, and enhanced reliability while providing universal connectivity. Hence, to assist such a vast network domain, (new) 6G-enabling technologies are developed, which include Reconfigurable Intelligent Surfaces (RISs), that are capable of modifying and reconfiguring the wireless propagation channels. This work describes concepts on how security, in particular Physical Layer Security (PhySec) methods, can be supported by RISs. Furthermore, an effective impedance surface model is presented, allowing efficient simulation of beamsplitting and shaping properties of RISs. Finally, the applicability of the use cases is mentioned, with a particular focus on Visible Light Communication (VLC).

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Keep Private Networks Private: Secure Channel-PUFs, and Physical Layer Security by Linear Regression Enhanced Channel Profiles

Cited by 6 publications

References 20 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

Physical Layer Security: About Humans, Machines and the Transmission Channel

Connectivity in the era of the (I)IoT: about security, features and limiting factors of reconfigurable intelligent surfaces

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