nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

Security Challenges and Lightweight Cryptography in IoT: Comparative Study and Testing Method for PRESENT-32bit Cipher

verfasst von : Van Nam Ngo, Anh Ngoc Le, Do-Hyeun Kim

Erschienen in: Parallel and Distributed Computing, Applications and Technologies

Verlag: Springer Nature Singapore

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

The Internet of Things (IoT) stands out as one of the most remarkable innovations in recent times, offering a promising future for global connectivity. However, the rapid expansion of IoT ecosystems has led to a significant increase in the attack surface, posing risks to platforms, computing systems, multifunction protocols, and network access ubiquity. To mitigate these risks, it is crucial to adopt secure system design and development practices. Popular security solutions such as data encryption and authentication have been widely employed in IoT systems. Nonetheless, the unique constraints of IoT platforms present challenges in selecting suitable algorithms. In this paper, we provide an overview and analysis of the security challenges in IoT along with potential solutions. Additionally, we propose a testing methodology for the PRESENT-32bit cipher, based on an analysis of prevalent lightweight cryptography techniques. Our implementation results demonstrate the advantages of this approach.

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 Action Segmentation Based on Encoder-Decoder and Global Timing Information

Nächstes Kapitel The Prediction Model of Water Level in Front of the Check Gate of the LSTM Neural Network Based on AIW-CLPSO

Constantinos, K., Georgios, K., Angelos, S., Jeffrey, V.: DDoS in the IoT: mirai and other botnets. Computer 50, 80–84 (2017)CrossRef

Collins, S., McCombie, S.: Stuxnet: the emergence of a new cyber weapon and its implications. J. Policing, Intell. Counter Terror. 7, 80–91 (2012)

Ray, P.: A survey on internet of things architectures. J. King Saud Univ. – Comput. Inform. Sci. 30, 291–319 (2018)

Rana, M., Mamun, Q., Islam, R.: Lightweight cryptography in IoT networks: a survey. Futur. Gener. Comput. Syst. 129, 77–89 (2022)CrossRef

Bogdanov, A., et al.: L.N.IC. Science, Ed. Berlin, Heidelberg, Springer 2007, 450–466 (2007)

Beaulieu, R., Treatman-Clark, S., Shors, D., Weeks, B., Smith, J., Wingers, L.: The SIMON and SPECK lightweight block ciphers. In: Proceedings of the 52nd Annual Design Automation Conference (2015)

Housley, R.: Using AES-CCM and AES-CGM authenticated encryption in the cryptographic message syntax(CMS). RFC Editor 5084, 11 (2007)

Hellman, M.E.: A cryptanalytic time–memory trade-off. IEEE Trans. Inform. Theor. 26(4), 401–406 (1980)

Tedjini, S., Andia-Vera, G., Zurita, M., Freire, R., Duroc, Y.: Augmented RFID Tags. In: 2016 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet) (2016)

10.

Hahnel, D., Burgard, W., Fox, D., Fishkin, K., Philipose, M.: Mapping and localization with RFID technology. In: IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA ‘04. 2004 (2004)

11.

Sim, B.-Y., Han, D.-G.: A study on the side-channel analysis trends for application to IoT devices (2020)

12.

Li, P., Sun, L., Xiangyan, F., Lin, N.: Security in Wireless Sensor Networks,” in Wireless Network Security: Theories and Applications, pp. 179–227. Heidelberg, Springer, Berlin Heidelberg, Berlin (2013)

13.

Venugopalan, V., Patterson, C.D.: Surveying the hardware trojan threat landscape for the internet-of-things. J. Hardw. Syst. Secur. 2(2), 131–141 (2018)CrossRef

14.

Jin, Y., Kupp, N., Makris, Y.: Experiences in hardware Trojan design and implementation. In: 2009 IEEE International Workshop on Hardware-Oriented Security and Trust (2009)

15.

Danev, B., Luecken, H., Capkun, S., El Defrawy, K.: Attacks on physical-layer identification. In: WiSec ‘10: Proceedings of the Third ACM Conference on Wireless network security (2010)

16.

Aras, E., Small, N., Ramachandran, G.S., St\'{e}phane, D., Joosen, W., Hughes, D.: Selective jamming of LoRaWAN using commodity hardware. In: MobiQuitous 2017: Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (2017)

17.

Pelechrinis, K., Iliofotou, M., Krishnamurthy, S.V.: Denial of service attacks in wireless networks: the case of jammers. IEEE Commun. Surv. Tutor. 13, 245–257 (2011)CrossRef

18.

Wallgren, L., Raza, S., Voigt, T.: Routing attacks and countermeasures in the RPL-based internet of things. Int. J. Distrib. Sensor Netw. 9(8), 794326 (2013).

19.

Crnogorac, J., Crnogorac, J., Vučinić, M., Kočan, E., Watteyne, T.: Dense multi-channel sniffing in large IoT networks. IEEE Access 10, 105101–105110 (2022)CrossRef

20.

Andreica, G.R., Bozga, L., Zinca, D., Dobrota, V.: Denial of service and man-in-the-middle attacks against IoT devices in a GPS-based monitoring software for intelligent transportation systems. In: 2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet) (2020)

21.

Sunardi, A.: Yudhana and Furizal, “Tsukamoto fuzzy inference system on internet of things-based for room temperature and humidity control,.” IEEE Access 11, 6209–6227 (2023)CrossRef

22.

Gomez, C., Chessa, S., Fleury, A., Roussos, G., Preuveneers, D.: Internet of things for enabling smart environments: a technology-centric perspective. J. Ambient Intell. Smart Environ. 11(1), 23–43 (2019)CrossRef

23.

Tabaa, M., Monteiro, F., Bensag, H., Dandache, A.: Green industrial internet of things from a smart industry perspectives. Energy Rep. 6, 430–446 (2020)CrossRef

24.

Park, M., Oh, H., Lee, K.: Security risk measurement for information leakage in IoT-based smart homes from a situational awareness perspective. Sensors 19(9), 2148 (2019)

25.

Altayaran, S., Elmedany, W.: Security threats of application programming interface (API's) in internet of things (IoT) communications. In: 4th Smart Cities Symposium (SCS 2021) (2021)

26.

Balliu, M., Bastys, I., Sabelfeld, A.: Securing IoT Apps. IEEE Secur. Privacy 17(5), 22–29 (2019)

27.

Zikria, Y.B., Ali, R., Afzal, M.K., Kim, S.W.: Next-generation internet of things (IoT): opportunities, challenges, and solutions. Sensors, vol. 21(4), 1174 (2021)

28.

El-Hajj, M., Fadlallah, A., Chamoun, M., Serhrouchni, A.: A Survey of Internet of Things (IoT) Authentication Schemes. Sensors 19(5), 1141 (2019)

29.

Ding, S., Cao, J., Li, C., Fan, K., Li, H.: A Novel attribute-based access control scheme using blockchain for IoT. IEEE Access 7, 38431–38441 (2019)CrossRef

30.

Mandal, S., Bera, B., Sutrala, A.K., Das, A.K., Choo, K.K.R., Park, Y.: Certificateless-Signcryption-Based Three-Factor User Access Control Scheme for IoT Environment. IEEE Int. Things J. 7(4), 3184–3197 (2020)

31.

Li, D., Han, D., Crespi, N., Minerva, R., Li, K.-C.: A blockchain-based secure storage and access control scheme for supply chain finance. J. Supercomput. 79(1), 109–138 (2023)CrossRef

32.

Qaddoura, R., M. Al-Zoubi, A., Faris, H., Almomani, I.: A multi-layer classification approach for intrusion detection in IoT networks based on deep learning. Sensors 21(9), 2987 (2021)

33.

Hamza, R., Yan, Z., Muhammad, K., Bellavista, P., Titouna, F.: A privacy-preserving cryptosystem for IoT E-healthcare. Inf. Sci. 527, 493–510 (2020)MathSciNetCrossRefMATH

34.

Perazzo, P., Righetti, F., La Manna, M., Vallati, C.: Performance evaluation of attribute-based encryption on constrained IoT devices. Comput. Commun. 170, 151–163 (2021)

35.

McKay, K., Bassham, L., Sönmez Turan, M., Mouha, N.: Report on Lightweight Cryptography. In: NIST (2017)

36.

Tropea, M., Spina, M.G., De Rango, F., Gentile, A.F.: Gentile, “security in wireless sensor networks: a cryptography performance analysis at MAC Layer. Future Internet, 14(5), 145 (2022)

37.

Thakor, V.A., Razzaque, M.A., Khandaker, M.R.A.: Lightweight cryptography algorithms for resource-constrained IoT devices: a review, comparison and research opportunities. IEEE Access 9, 28177–28193 (2021)CrossRef

38.

Pareek, M., Mishra, G., Kohli, V.: Deep learning based analysis of key scheduling algorithm of PRESENT cipher. IACR Cryptol. ePrint Arch. 2020, 981 (2020)

39.

Jithendra, K.B., Shahana, T.K.: New Biclique cryptanalysis on full-round PRESENT-80 block cipher. SN Comput. Sci. 1(2),(2020). https://doi.org/10.1007/s42979-020-0103-z

40.

Lo, O., Buchanan, W.J., Carson, D.: Correlation power analysis on the PRESENT block cipher on an embedded device. In: Proceedings of the 13th International Conference on Availability, Reliability and Security (2018)

41.

Vaudenay, S. (ed.): Progress in Cryptology – AFRICACRYPT 2008: First International Conference on Cryptology in Africa, Casablanca, Morocco, June 11-14, 2008. Proceedings. Springer Berlin Heidelberg, Berlin, Heidelberg (2008)

42.

Pieprzyk, J.: The 10th Cryptographers’ Track at the RSA Conference 2010, San Francisco, CA, USA, March 1–5, 2010. Proceedings, Springer 2010, 302–307 (2010)

43.

Oechslin, P.: Making a faster cryptanalytic time-memory trade-off. In: Advances in Cryptology – CRYPTO 2003. Springer-Verlag, Boston (2003)MATH

44.

Perry, L.: IoT Security. In: Internet of Things for Architects, p. 515. Packt Publishing Lt, Mumbai (2018)

45.

Wheeler, D.M., Fagbemi, D.D.: Security architecture for real IoT systems. In: The IoT architect's guide to attainable security and privacy, Boca Raton, CRC Press, p. 497 (2020)

Titel: Security Challenges and Lightweight Cryptography in IoT: Comparative Study and Testing Method for PRESENT-32bit Cipher
verfasst von: Van Nam Ngo
Anh Ngoc Le
Do-Hyeun Kim
Verlag: Springer Nature Singapore
Buch: Parallel and Distributed Computing, Applications and Technologies
Print ISBN: 978-981-9982-10-3

Electronic ISBN: 978-981-9982-11-0

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-99-8211-0_27

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner