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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
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SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2022 - 4

A Strong Mutual Authentication Protocol for Securing Wearable Smart Textile Applications

DALKILIC, H. See more information about DALKILIC, H. on SCOPUS See more information about DALKILIC, H. on IEEExplore See more information about DALKILIC, H. on Web of Science, OZCANHAN, M. H. See more information about OZCANHAN, M. H. on SCOPUS See more information about OZCANHAN, M. H. on SCOPUS See more information about OZCANHAN, M. H. on Web of Science
 
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Download PDF pdficon (1,712 KB) | Citation | Downloads: 852 | Views: 2,044

Author keywords
authentication, cryptography, Internet of Things, message authentication, wearable sensors

References keywords
authentication(23), security(14), internet(14), smart(13), secure(13), scheme(10), protocol(9), computing(8), networks(7), applications(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-02-28
Volume 22, Issue 1, Year 2022, On page(s): 31 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.01004
Web of Science Accession Number: 000807483500001
SCOPUS ID: 85126806389

Abstract
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With increasing modern technology involvement in numerous consumer areas, our cities are gradually turning into smart urban areas. Wireless technologies have especially been playing a pivotal role in making cities smarter. The popular name for wireless wearable devices is the wearable Internet of Things (IoT). Wearable IoT has begun a smart textiles movement. However, wearable IoT increased wirelessly transmitted data, opening avenues for critical data capture by unauthorized listeners. The present study offers a typical wearable textile IoT device with information security. Our work proposes a novel mutual authentication protocol between IoT devices and their gateway, supported by a state-of-the-art encryption algorithm. The protocol can increase the information security of similar smart textiles. In addition to an informal security evaluation, our protocol has been tested by two formal security analysis tools. The popular Scyther and AVISPA tools verify that the data transmission between our design wearable textile and the gateway is secure. A comparison of our work with previous proposals shows the comprehensiveness of our design and its applicability to other IoT devices, as well.


References | Cited By  «-- Click to see who has cited this paper

[1] S. Li, L. D. Xu, S. Zhao, "The Internet of things: a survey," Information Systems Frontiers, vol. 17, no. 2, pp. 243-259, 2015.
[CrossRef] [SCOPUS Times Cited 1732]


[2] M. H. Ozcanhan, "A new peculiarity to intelligent doors: security through information sharing," Pamukkale University Journal of Engineering Sciences, vol. 23, no. 5, pp. 581-587, 2017.
[CrossRef] [Web of Science Times Cited 2]


[3] M. Kamal, M. Atif, H. Mujahid, T. Shanableh, A. R. Al-Ali et al., "IoT based smart city bus stops," Future Internet, vol. 11, no. 11, 2019.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]


[4] H. A. Khattak, H. Farman, B. Jan, I. U. Din, "Toward integrating vehicular clouds with IoT for smart city services," IEEE Network, vol. 33, no. 2, pp. 65-71, 2019.
[CrossRef] [Web of Science Times Cited 71] [SCOPUS Times Cited 94]


[5] N. Mohamed, J. Al-Jaroodi, I. Jawhar, "Towards fault tolerant fog computing for IoT-based smart city applications," In 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0752-0757, 2019.
[CrossRef] [SCOPUS Times Cited 49]


[6] L. Zhao, J. Wang, J. Liu, N. Kato, "Optimal edge resource allocation in IoT-based smart cities," IEEE Network, vol. 33, no. 2, pp. 30-35, 2019.
[CrossRef] [Web of Science Times Cited 99] [SCOPUS Times Cited 118]


[7] J. V. Jacobs, L. J. Hettinger, Y. H. Huang, S. Jeffries, M. F. Lesch et al., "Employee acceptance of wearable technology in the workplace," Applied Ergonomics, vol. 78, pp. 148-156, 2019.
[CrossRef] [Web of Science Times Cited 79] [SCOPUS Times Cited 106]


[8] G. Aroganam, N. Manivannan, D. Harrison, "Review on wearable technology sensors used in consumer sport applications," Sensors, vol. 19, no. 9, 2019.
[CrossRef] [Web of Science Times Cited 203] [SCOPUS Times Cited 255]


[9] Z. A. Alizai, N. F. Tareen, I. Jadoon, "Improved IoT device authentication scheme using device capability and digital signatures," In 2018 International Conference on Applied and Engineering Mathematics (ICAEM), pp. 1-5, 2018.
[CrossRef] [SCOPUS Times Cited 59]


[10] I. Ali, S. Sabir, Z. Ullah, "Internet of things security, device authentication and access control: a review," International Journal of Computer Science and Information Security (IJCSIS), vol. 14, no. 8, pp. 456-466, 2016

[11] K. Fan, Q. Luo, K. Zhang, Y. Yang, "Cloud-based lightweight secure RFID mutual authentication protocol in IoT," Information Sciences, vol. 527, pp. 329-340, 2020.
[CrossRef] [Web of Science Times Cited 47] [SCOPUS Times Cited 64]


[12] M. Alshahrani, I. Traore, "Secure mutual authentication and automated access control for IoT smart home using cumulative keyed-hash chain," Journal of information security and applications, vol. 45, pp. 156-175, 2019.
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 84]


[13] M. Adeli, N. Bagheri, "Cryptanalysis of two recently proposed PUF based authentication protocols for IoT: PHEMAP and Salted PHEMAP," IACR Cryptol. ePrint Arch, 2019

[14] N. Li, D. Liu, S. Nepal, "Lightweight mutual authentication for IoT and its applications," IEEE Transactions on Sustainable Computing, vol. 2, no. 4, pp. 359-370, 2017.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 135]


[15] M. Saadeh, A. Sleit, K. E. Sabri, W. Almobaideen, "Hierarchical architecture and protocol for mobile object authentication in the context of IoT smart cities," Journal of Network and Computer Applications, vol. 121, pp. 1-19, 2018.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 47]


[16] B. Bera, A. K. Das, W. Balzano, C. M. Medaglia, "On the design of biometric-based user authentication protocol in smart city environment," Pattern Recognition Letters, vol. 138, pp. 439-446, 2020.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 37]


[17] D. Shah, V. Bharadi, "IoT based biometrics implementation on Raspberry Pi," Procedia Computer Science, vol. 79, pp. 328-336, 2016.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 66]


[18] X. Sun, S. Men, C. Zhao, Z.Zhou, "A security authentication scheme in machine-to-machine home network service," Security and Communication Networks, vol. 8, no. 16, pp. 2678-2686, 2015.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 33]


[19] O. Aydin, G. Dalkilic, C. Kosemen, "A novel grouping proof authentication protocol for lightweight devices: GPAPXR+," Turkish Journal of Electrical Engineering & Computer Sciences, vol. 28, no. 5, pp. 3036-3051, 2020.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 9]


[20] P. P. Gaikwad, J. P. Gabhane, S. S. Golait, "3-level secure Kerberos authentication for smart home systems using IoT," In 2015 1st International Conference on Next Generation Computing Technologies (NGCT), pp. 262-268, 2015.
[CrossRef] [SCOPUS Times Cited 32]


[21] A. W. Atamli, A. Martin, "Threat based security analysis for the Internet of things," International Workshop on Secure Internet of Things, pp. 35-43, 2014.
[CrossRef] [Web of Science Times Cited 105] [SCOPUS Times Cited 143]


[22] S. N. Firdous, Z. Baig, C. Valli, A. Ibrahim, "Modelling and evaluation of malicious attacks against the IoT MQTT protocol," In 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 748-755, 2017.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 82]


[23] M. H. Ozcanhan, S. Utku, "Attacking a PUF based mutual authentication protocol designed for Internet of things," International Journal of Computer Science and Software Engineering (IJCSSE), vol. 7, no. 11, pp. 270-274, 2018

[24] U. Cabuk, G. Kanakis, F. Dalkilic, "LTE direct as a device-to-device network technology: use cases and security," Int. J. Adv. Res. Comput. Commun. Eng. (IJARCCE), vol. 5, no. 7, pp. 401-406, 2016.
[CrossRef]


[25] C. T. Chen, C. C. Lee, I. C. Lin, "Efficient and secure three-party mutual authentication key agreement protocol for WSNs in IoT environments," Plos one, vol. 15, no. 4, 2020.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 32]


[26] K. N. Pallavi, V. R. Kumar, "Authentication-based access control and data exchanging mechanism of IoT devices in fog computing environment," Wireless Personal Communications, pp. 1-22, 2020.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 22]


[27] M. Nikooghadam, H. Amintoosi, "An improved secure authentication and key agreement scheme for healthcare applications," In 2020 25th International Computer Conference, Computer Society of Iran (CSICC), pp. 1-7, 2020.
[CrossRef] [SCOPUS Times Cited 12]


[28] C. C. Chang, H. D. Le, "A provably secure, efficient, and flexible authentication scheme for ad hoc wireless sensor networks," IEEE Transactions on wireless communications, vol. 15, no. 1,pp. 357-366, 2015.
[CrossRef] [Web of Science Times Cited 295] [SCOPUS Times Cited 339]


[29] A. K. Das, S. Kumari, V. Odelu, X. Li, F. Wu et al., "Provably secure user authentication and key agreement scheme for wireless sensor networks," Security and Communication Networks, vol. 9, no. 16, pp. 3670-3687, 2016.
[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 91]


[30] A. Sangwan, V. R. Singh, "A secure authentication scheme for WiMax network and verification using scyther tool," International Journal of Applied Engineering Research, vol. 12, no. 11, 3002-3008, 2017

[31] P. K. Panda, S. Chattopadhyay, "A modified PKM environment for the security enhancement of IEEE 802.16e," Computer Standards & Interfaces, vol. 61, pp. 107-120, 2019.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 9]


[32] A. K. Das, M. Wazid, N. Kumar, M. K. Khan, K. K. R. Choo et al., "Design of secure and lightweight authentication protocol for wearable devices environment," IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 4, pp. 1310-1322, 2017.
[CrossRef] [Web of Science Times Cited 127] [SCOPUS Times Cited 158]


[33] V. Bianchi, M. Bassoli, G. Lombardo, P. Fornacciari, M. Mordonini et al., "IoT wearable sensor and deep learning: An integrated approach for personalized human activity recognition in a smart home environment," IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8553-8562, 2019.
[CrossRef] [Web of Science Times Cited 234] [SCOPUS Times Cited 317]


[34] H. Dalkilic, M. H. Ozcanhan, H. Ozdemir, "Wireless data transfer with the use of Internet of things (IoT) technologies in smart textiles," The Journal of The Textile Institute, Published Online: 17 June 2021,
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]


[35] G. A. C. Montiel, F. B. Duque, L. A. P. Salazar, "BlueLock a tool to prevent Bluetooth attacks," Vision electronica, vol. 14, no. 1, 2020.
[CrossRef]


[36] B. Mbarek, M. Ge, T. Pitner, "An efficient mutual authentication scheme for Internet of things," Internet of Things, vol. 9, 2020.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 36]


[37] D. Fang, Y. Qian, R. Q. Hu, "A flexible and efficient authentication and secure data transmission scheme for IoT applications," IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3474-3484, 2020.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 56]


[38] K. -H. Yeh, C. Su, K. -K. R. Choo, W. Chiu, "A novel certificateless signature scheme for smart objects in the Internet-of-things," Sensors, vol. 17, no. 5, 2017.
[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 66]


[39] M. Y. Al-Shorman, M. M. Al-Kofahi, O. M. Al-Kofahi, "A practical microwatt-meter for electrical energy measurement in programmable devices," Measurement and Control, vol. 51, no. 9-10, pp. 383-395, 2018.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 13]


[40] M. H. Ozcanhan, G. Dalkilic, S. Utku, "Cryptographically supported NFC tags in medication for better inpatient safety," Journal of medical systems, vol. 38, no. 8, 2014.
[CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 10]


[41] T. Nandy, M. Y. I. B. Idris, R. M. Noor, M. L. M. Kiah, L. S. Lun et al., "Review on security of Internet of things authentication mechanism," IEEE Access, vol. 7, pp. 151054-151089, 2019.
[CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 110]


[42] H. Wong, T. Luo, "Man-in-the-middle attacks on MQTT-based IoT using BERT based adversarial message generation," In KDD'20 Workshops: the 3rd International Workshop on Artificial Intelligence of Things (AIoT), 2020

[43] N. F. Syed, Z. Baig, A. Ibrahim, C. Valli, "Denial of service attack detection through machine learning for the IoT," Journal of Information and Telecommunication, pp. 1-22, 2020.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 92]


[44] E. Munivel, A. Kannammal, "New authentication scheme to secure against the phishing attack in the mobile cloud computing," Security and Communication Networks, 2019.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 25]


[45] N. E. Madhoun, G. Pujolle, "A secure cloud-based NFC payment architecture for small traders," In 2016 3rd Smart Cloud Networks & Systems (SCNS), pp. 1-6, 2016.
[CrossRef] [SCOPUS Times Cited 7]


[46] K. Yildirim, G. Dalkilic, N. Duru, "Security analysis of Hsiang m-coupon protocol," Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 34, no. 4, pp. 1705-1724, 2019.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


[47] M. Eldefrawy, I. Butun, N. Pereira, M. Gidlund, "Formal security analysis of LoRaWAN," Computer Networks, vol. 148, pp. 328-339, 2019.
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 85]




References Weight

Web of Science® Citations for all references: 2,032 TCR
SCOPUS® Citations for all references: 4,643 TCR

Web of Science® Average Citations per reference: 42 ACR
SCOPUS® Average Citations per reference: 97 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-08 19:34 in 285 seconds.




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