Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

4. Physical Layer Authentication

verfasst von : Yulong Shen, Yuanyu Zhang, Xiaohong Jiang

Erschienen in: Secrecy, Covertness and Authentication in Wireless Communications

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Physical layer authentication (PLA) represents another promising application of the PLS technology in wireless communications, aiming at establishing trust among communicating entities. The fundamentals and categories of PLA have been introduced in Chap. 1.​2.​3. This chapter further discusses PLA and presents concrete implementations of passive RFF-based PLA, channel-based PLA, and hybrid PLA. In Sect. 4.1, we exemplify how to use multiple radiometric features to develop an RFF-based PLA scheme in direct-sequence spread spectrum (DSSS) communication systems. In Sect. 4.2, we give an illustrative example of instantaneous channel-based PLA in massive MIMO systems. In Sect. 4.3, a hybrid PLA scheme in MIMO systems is provided, which is based on the combination of the channel-based feature in Sect. 4.2 and a radiometric feature named phase noise.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Physical Layer Covert Communications
Nächstes Kapitel Secure Routing
Fußnoten
Literatur
1.
Le Nir V, Scheers B (2015) Robust blind carrier frequency synchronisation for direct sequence spread spectrum systems. Electron. Lett. 51(5):425–427CrossRef
2.
Simon M, Omura J, Scholtz R, Levitt B (2002) Spread spectrum communications handbook. McGraw-Hill Education, New York
3.
Son E, Crowley B, Schlegel C, Gaudet V (2009) Packet detection for wireless networking with multiple packet reception. In: Proceedings of the IEEE Military Communications Conference (MILCOM). IEEE, Piscataway, pp 1–5
4.
IEEE Computer Society LAN MAN Standard Committee et al (1999) Wireless lan medium access control (MAC) and physical layer (PHY) specifications. ANSI/IEEE Std. 802.11-1999
5.
IEEE (2015) IEEE 802.15. 4-2015-IEEE standard for low-rate wireless networks. IEEE Standards Assoc
6.
Spuhler M, Giustiniano D, Lenders V, Wilhelm M, Schmitt JB (2014) Detection of reactive jamming in dsss-based wireless communications. IEEE Trans Wirel Commun 13(3):1593–1603CrossRef
7.
Lacasa L, Luque B, Ballesteros F, Luque J, Nuno JC (2008) From time series to complex networks: the visibility graph. Proc Nat Acad Sci 105(13):4972–4975MathSciNetMATHCrossRef
8.
Núñez N, Manuel Á (2015) Mapping dynamics into graphs. The Visibility Algorithm (Ph.D. thesis), Universidad Politécnica de Madrid
9.
10.
Luque B, Lacasa L, Ballesteros F, Luque J (2009) Horizontal visibility graphs: exact results for random time series. Phys Rev E 80(4):046103CrossRef
11.
12.
Gupta P, Ramaswamy S (201) Frame detection method for 802.11 b/g based WLAN systems. US Patent 7,733,834
13.
Merchant K, Revay S, Stantchev G, Nousain B (2018) Deep learning for RF device fingerprinting in cognitive communication networks. IEEE J Sel Topics Signal Process 12(1):160–167CrossRef
14.
Brik V, Banerjee S, Gruteser M, Oh S (2008) Wireless device identification with radiometric signatures. In: Proceeding of the ACM MobiCom, pp 116–127
15.
Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine learning in python, vol 12, no null
16.
Warner RA (2016) Chapter 2 - using z scores for the display and analysis of data. In: Warner RA (ed) Optimizing the display and interpretation of data. Elsevier, Boston, pp 7–51CrossRef
17.
O’Neil C, Schutt R (2013) Doing data science: straight talk from the frontline. O’Reilly Media, Sebastopol
18.
Sokolova M, Lapalme G (2009) A systematic analysis of performance measures for classification tasks. Inf Process Manage 45(4):427–437CrossRef
19.
Lee Rodgers J, Nicewander WA (1988) Thirteen ways to look at the correlation coefficient. Amer Statist 42(1):59–66CrossRef
20.
Profillidis V, Botzoris G (2019) Chapter 5 - statistical methods for transport demand modeling. In: Modeling of transport demand, Profillidis V, Botzoris G (eds). Elsevier, Amsterdam, pp 163–224CrossRef
21.
Jakes WC, Cox DC (1994) Microwave mobile communications. Wiley, HobokenCrossRef
22.
Raeesi O, Gokceoglu A, Zou Y, Björnson E, Valkama M (2018) Performance analysis of multi-user massive MIMO downlink under channel non-reciprocity and imperfect CSI. IEEE Trans Commun 66(6):2456–2471CrossRef
23.
Fang Y, Li X, Ren C, Qiu L, Zhang Z, Zhou J (2019) Asymptotic equivalent performance of uplink massive mimo systems with spatial-temporal correlation. IEEE Trans Veh Technol 68(5):4615–4624CrossRef
24.
Perazzone JB, Yu PL, Sadler BM, Blum RS (2018) Cryptographic side-channel signaling and authentication via fingerprint embedding. IEEE Trans Inf Forens Security 13(9):2216–2225CrossRef
25.
Xie N, Zhang S (2018) Blind authentication at the physical layer under time-varying fading channels. IEEE J Sel Areas Commun 36(7):1465–1479CrossRef
26.
Xiao L, Greenstein LJ, Mandayam NB, Trappe W (2008) Using the physical layer for wireless authentication in time-variant channels. IEEE Trans Wirel Commun 7(7):2571–2579CrossRef
27.
Björnson E, Hoydis J, Kountouris M, Debbah M (2014) Massive MIMO systems with non-ideal hardware: energy efficiency, estimation, and capacity limits. IEEE Trans Inf Theory 60(11):7112–7139MathSciNetMATHCrossRef
28.
Loyka SL (2001) Channel capacity of MIMO architecture using the exponential correlation matrix. IEEE Commun Lett 5(9):369–371CrossRef
29.
Bjornson E, Hammarwall D, Ottersten B (2009) Exploiting quantized channel norm feedback through conditional statistics in arbitrarily correlated MIMO systems. IEEE Trans Signal Process 57(10):4027–4041MathSciNetMATHCrossRef
30.
Hoydis J, Ten Brink S, Debbah M (2013) Massive MIMO in the UL/DL of cellular networks: how many antennas do we need? IEEE J Sel Areas Commun 31(2):160–171CrossRef
31.
Rusek F, Persson D, Lau BK, Larsson EG, Marzetta TL, Edfors O, Tufvesson F (2012) Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process Mag 30(1):40–60CrossRef
32.
Mallik RK (2018) The exponential correlation matrix: eigen-analysis and applications. IEEE Tran Wirel Commun 17(7):4690–4705CrossRef
33.
34.
Hjørungnes A (2011) Complex-valued matrix derivatives: with applications in signal processing and communications. Cambridge University, CambridgeMATHCrossRef
35.
Pierce JN, Stein S (1960) Multiple diversity with nonindependent fading. Proc IRE 48(1):89–104CrossRef
36.
Trees HLV, Bell KL, Tian Z (2014) Detection, estimation, and modulation theory, part I: detection, estimation, and filtering theory, 2nd edn. Wiley, HobokenMATH
37.
Wang S, Abdi A, Salo J, El-Sallabi HM, Wallace JW, Vainikainen P, Jensen MA (2007) Time-varying MIMO channels: parametric statistical modeling and experimental results. IEEE Trans Veh Technol 56(4):1949–1963CrossRef
38.
Avendi MR, Nguyen HH (2014) Performance of selection combining for differential amplify-and-forward relaying over time-varying channels. IEEE Trans Wirel Commun 13(8):4156–4166CrossRef
39.
Pitarokoilis A, Mohammed S, Larsson E (2014) Uplink performance of time-reversal MRC in massive MIMO systems subject to phase noise. IEEE Trans Wirel Commun 14(2):711–723CrossRef
40.
Pitarokoilis A, Björnson E, Larsson EG (2016) ML detection in phase noise impaired SIMO channels with uplink training. IEEE Trans Commun 64(1):223–235CrossRef
41.
Mehrpouyan H, Nasir AA, Blostein SD, Eriksson T, Karagiannidis GK, Svensson T (2012) Joint estimation of channel and oscillator phase noise in MIMO systems. IEEE Trans Signal Process 60(9):4790–4807MathSciNetMATHCrossRef
42.
Salim OH, Nasir AA, Mehrpouyan H, Xiang W, Durrani S, Kennedy RA (2014) Channel, phase noise, and frequency offset in OFDM systems: joint estimation, data detection, and hybrid Cramer-Rao lower bound. IEEE Trans Commun 62(9):3311–3325CrossRef
43.
Krishnan R, Colavolpe G, Graell i Amat A, Eriksson T (2015) Algorithms for joint phase estimation and decoding for MIMO systems in the presence of phase noise and quasi-static fading channels. IEEE Trans Signal Process 63(13):3360–3375MathSciNetMATHCrossRef
44.
Tichavsky P, Muravchik CH, Nehorai A (1998) Posterior Cramér-Rao bounds for discrete-time nonlinear filtering. IEEE Trans Signal Process 46(5):1386–1396CrossRef
45.
Adhikary A, Nam J, Ahn J, Caire G (2013) Joint spatial division and multiplexing–the large-scale array regime. IEEE Trans Inf Theory 59(10):6441–6463MathSciNetMATHCrossRef
46.
Xiao L, Greenstein LJ, Mandayam NB, Trappe W (2009) Channel-based spoofing detection in frequency-selective Rayleigh channels. IEEE Trans Wirel Commun 8(12):5948–5956CrossRef
47.
Tugnai JK, Kim H (2010) A channel-based hypothesis testing approach to enhance user authentication in wireless networks. In: 2010 Second International Conference on COMmunication Systems and NETworks (COMSNETS 2010), pp 1–9
48.
Hou W, Wang X, Chouinard J, Refaey A (2014) Physical layer authentication for mobile systems with time-varying carrier frequency offsets. IEEE Trans Commun 62(5):1658–1667CrossRef
49.
Zhang P, Taleb T, Jiang X, Wu B (2020) Physical layer authentication for massive MIMO systems with hardware impairments. IEEE Trans Wirel Commun 19(3):1563–1576CrossRef
50.
Xiao L, Wan X, Han Z (2017) PHY-layer authentication with multiple landmarks with reduced overhead. IEEE Trans Wirel Commun 17(3):1676–1687CrossRef
Metadaten
Titel
Physical Layer Authentication
verfasst von
Yulong Shen
Yuanyu Zhang
Xiaohong Jiang
Copyright-Jahr
2023
Buch
Secrecy, Covertness and Authentication in Wireless Communications

Print ISBN: 978-3-031-38464-6

Electronic ISBN: 978-3-031-38465-3

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-38465-3_4

Premium Partner

    Bildnachweise