LoRa PHY Range Tests and Software Decoding - Physical Layer Security

Hill, K. S.; Gagneja, Kanwalinderjit Kaur; Singh, Navninderjit

doi:10.1109/spin.2019.8711682

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…An improvement to this protocol, called Zerocash, instead implemented a "zeroknowledge non-interactive arguments of knowledge" (zk-SNARK). This validation method improves the speed and cost of transactions, which can remain completely anonymous since balances cannot be deduced from the blockchain [30]. Since that research into shielded transactions with zk-SNARK was released, an increasing number of altcoins have implemented it within their frameworks.…”

Section: Countermeasures To Blockchain Analysismentioning

confidence: 99%

Traceability of Cryptocurrency Transactions using Blockchain Analytics

Gagneja¹

2020

IJCDS

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Cryptocurrencies are increasingly used as a medium to conduct illicit activity. The fundamental concept empowering Bitcoin and other cryptocurrencies is the blockchain, which is a distributed ledger technology that transactions are stored on. The entire ledger, which is widely distributed among the peer-to-peer network, is susceptible to the temporal analysis of the transaction to be performed. This type of blockchain analytics threatens the expected privacy of transactions and has resulted in the growing number of privacy-oriented solutions that reduce the traceability and increase the anonymity of crypto transactions. Despite the evolving technological advancements of privacy-oriented features for cryptocurrencies, traceability of transactions is still possible. In this paper, the core features of blockchain are reviewed as well as their resistance to traceability. Existing countermeasures that attempt to obfuscate user activity are also considered. Also, a prototype software solution is proposed that could be used in the incidence response of criminal activity involving cryptocurrencies.

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Section: Countermeasures To Blockchain Analysismentioning

confidence: 99%

Traceability of Cryptocurrency Transactions using Blockchain Analytics

Gagneja¹

2020

IJCDS

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“…Although there are already works on FD jamming for secrecy purposes [ 18 , 19 ], as far as we are aware there is no practical proof-of-concept with a hardware/software implementation (the authors would like to disclose that this work has been presented, only in part, at the international conference CSNDSP2020 [ 20 ]). Rather, existing works with implementations of physical-layer security schemes tend to focus on secret-key agreement strategies [ 21 , 22 ], deriving security from signaling efforts such as beamforming, channel estimation and spread spectrum [ 23 , 24 , 25 ], or using the physical layer to authenticate users through radio signal analysis [ 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security

Silva

Gomes

Vilela

et al. 2021

Sensors

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In order to secure wireless communications, we consider the usage of physical-layer security (PLS) mechanisms (i.e., coding for secrecy mechanisms) combined with self-interference generation. We present a prototype implementation of a scrambled coding for secrecy mechanisms with interference generation by the legitimate receiver and the cancellation of the effect of self-interference (SI). Regarding the SI cancellation, four state-of-the-art algorithms were considered: Least mean square (LMS), normalized least mean square (NLMS), recursive least squares (RLS) and QR decomposition recursive least squares (QRDRLS). The prototype implementation is performed in real-world software-defined radio (SDR) devices using GNU-Radio, showing that the LMS outperforms all other algorithms considered (NLMS, RLS and QRDRLS), being the best choice to use in this situation (SI cancellation). It was also shown that it is possible to secure communication using only noise generation by the legitimate receiver, though a variation of the packet loss rate (PLR) and the bit error rate (BER) gaps is observed when moving from the fairest to an advantageous or a disadvantageous scenario. Finally, when noise generation was combined with the adapted scrambled coding for secrecy with a hidden key scheme, a noteworthy security improvement was observed resulting in an increased BER for Eve with minor interference to Bob.

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LoRaWAN security issues and mitigation options by the example of agricultural IoT scenarios

Kuntke

Romanenko

Linsner

et al. 2022

Trans Emerging Tel Tech

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The Internet of Things (IoT) is a major trend that is seen as a great opportunity to improve efficiency in many domains, including agriculture. This technology could transform the sector, improving the management and quality of agricultural operations, for example, crop farming. The most promising data transmission standard for this domain seems to be Long Range Wide Area Network (LoRaWAN), a popular representative of low power wide area network technologies today. LoRaWAN, like any wireless protocol, has properties that can be exploited by attackers, which has been a topic of multiple research papers in recent years. By conducting a systematic literature review, we build a recent list of attacks, as well as collect mitigation options. Taking a look at a concrete use case (IoT in agriculture) allows us to evaluate the practicality of both exploiting the vulnerabilities and implementing the countermeasures. We detected 16 attacks that we grouped into six attack types. Along with the attacks, we collect countermeasures for attack mitigation. Developers can use our findings to minimize the risks when developing applications based on LoRaWAN. These mostly theoretical security recommendations should encourage future works to evaluate the mitigations in practice.

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LoRa PHY Range Tests and Software Decoding - Physical Layer Security

Cited by 7 publications

References 14 publications

Traceability of Cryptocurrency Transactions using Blockchain Analytics

Traceability of Cryptocurrency Transactions using Blockchain Analytics

SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security

LoRaWAN security issues and mitigation options by the example of agricultural IoT scenarios

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