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
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2022

22.08.2021

Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis

verfasst von: Ripty Singla, Navneet Kaur, Deepika Koundal, Anuj Bharadwaj

Erschienen in: Wireless Personal Communications | Ausgabe 2/2022

Einloggen

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

search-config
loading …

Abstract

The rise in life expectancy of humans, COVID-19 pandemic and growing cost of medical services has brought up huge challenges for the government and healthcare industry. Due to unhealthy lifestyle, there is an increased need for continual health monitoring and diagnosis of diseases. Wireless Body Area Network (WBAN) is attracted attention of researchers as various biosensors can be embedded in or worn on the body of human beings for the measurement of health parameters. The patient’s health data is then sent wirelessly to the physician for health analysis. The biosensors used to measure physiological parameters have limited power due to its small size and hence smaller form factor. For the longevity of the network, it is imperative to transmit the data in an energy-efficient manner. Moreover, the health information of the patient is stringently private. Hence, the privacy and security of transmitted information needs to be ensured. It necessitates the development of effective, lightweight and secure routing protocols that provides security with minimal use of resources. This paper has identified the numerous security requirements in WBANs and has provided the extensive review on existing secure routing protocols reported in the literature. A comparative analysis of the various existing state-of-the art secure routing protocols and critical analysis based on security techniques along with different performance parameters has been presented.
Vorheriger Artikel A Review of Transmission Rate over Wireless Fading Channels: Classifications, Applications, and Challenges
Nächster Artikel A Comprehensive Review on the Application of Internet of Thing (IoT) in Smart Agriculture

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

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+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 "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
Literatur
1.
Suzman, R., & Beard, J. (2015). Global health and aging: preface. National Institute on Aging website.
2.
American Hospital Association. (2007). When I’m 64: How boomers will change health care (pp. 00–10). Chicago: American Hospital Association.
3.
Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., & Jamalipour, A. (2014). Wireless body area networks: A survey. IEEE Communications Surveys & Tutorials, 16(3), 1658–1686.
4.
Fried, L. P., Ferrucci, L., Darer, J., Williamson, J. D., & Anderson, G. (2004). Untangling the concepts of disability, frailty, and comorbidity: Implications for improved targeting and care. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 59(3), M255–M263.
5.
Kulli, V. (2020). The Management of the Development of a Geriatric-Friendly Practice Toolkit for Use in the Primary Care Setting: a Multi-Tiered Intervention to Improve the Health of Older Adults. Doctoral dissertation, University of Pittsburgh.
6.
Cypher, D., Chevrollier, N., Montavont, N., & Golmie, N. (2006). Prevailing over wires in healthcare environments: Benefits and challenges. IEEE Communications Magazine, 44(4), 56–63.
7.
Honeine, P., Mourad, F., Kallas, M., Snoussi, H., Amoud, H., & Francis, C. (2011, May). Wireless sensor networks in biomedical: Body area networks. In International Workshop on Systems, Signal Processing and their Applications, WOSSPA (pp. 388–391). IEEE.
8.
Van Dam, K., Pitchers, S., & Barnard, M. (2001). Body area networks: Towards a wearable future. In Proceedings of WWRF kick off meeting, Munich, Germany, March 6–7, 2001.
9.
IEEE Standards Association. (2012). IEEE Standard for local and metropolitan area networks—Part 15.6: Wireless body area networks. IEEE Standard for Information Technology, IEEE, 802(6), 1–271.
10.
Latré, B., Braem, B., Moerman, I., Blondia, C., & Demeester, P. (2011). A survey on wireless body area networks. Wireless Networks, 17(1), 1–18.
11.
Bangash, J. I., Abdullah, A. H., Anisi, M. H., & Khan, A. W. (2014). A survey of routing protocols in wireless body sensor networks. Sensors, 14(1), 1322–1357.
12.
Lohr, K. N., & Donaldson, M. S. (Eds.). (1994). Health data in the information age: Use, disclosure, and privacy. National Academies Press.
13.
Pathania, S., & Bilandi, N. (2014). Security issues in wireless body area network. Int J Comput Sci Mobile Comput, 3(4), 1171–1178.
14.
Raja, K. S., & Kiruthika, U. (2015). An energy efficient method for secure and reliable data transmission in wireless body area networks using RelAODV. Wireless Personal Communications, 83(4), 2975–2997.
15.
Khan, Z. A., Sivakumar, S., Phillips, W., & Aslam, N. (2014). A new patient monitoring framework and energy-aware peering routing protocol (EPR) for body area network communication. Journal of Ambient Intelligence and Humanized Computing, 5(3), 409–423.
16.
Lai, X., Liu, Q., Wei, X., Wang, W., Zhou, G., & Han, G. (2013). A survey of body sensor networks. Sensors, 13(5), 5406–5447.
17.
Kaur, N., & Singh, S. (2017). Optimized cost effective and energy efficient routing protocol for wireless body area networks. Ad Hoc Networks, 61, 65–84.
18.
Sangwan, A., & Bhattacharya, P. P. (2015). Wireless body sensor networks: A review. International Journal of Hybrid Information Technology, 8(9), 105–120.
19.
Zriqat, I. A. A., & Altamimi, A. M. (2016). Security and privacy issues in eHealthcare systems: Towards trusted services. International Journal of Advanced Computer Science and Applications, 7(9), 229–236.
20.
Javadi, S. S., & Razzaque, M. A. (2013). Security and privacy in wireless body area networks for health care applications. In S. Khan & A. S. K. Pathan (Eds.), Wireless networks and security (pp. 165–187). Springer.
21.
22.
23.
24.
25.
Ullah, I., Zeadally, S., Amin, N. U., Khan, M. A., & Khattak, H. (2021). Lightweight and provable secure cross-domain access control scheme for internet of things (IoT) based wireless body area networks (WBAN). Microprocessors and Microsystems, 81, 103477.
26.
Nidhya, R., Shanthi, S., & Kumar, M. (2021). A novel encryption design for wireless body area network in remote healthcare system using enhanced RSA algorithm. In S. Satapathy, V. Bhateja, B. Janakiramaiah, & Y. W. Chen (Eds.), Intelligent system design (pp. 255–263). Springer.
27.
Joshi, A., & Mohapatra, A. K. (2020). A novel lightweight authentication protocol for body area networks based on elliptic-curve cryptography. Journal of Information and Optimization Sciences, 41(7), 1645–1672.
28.
Li, M., Lou, W., & Ren, K. (2010). Data security and privacy in wireless body area networks. IEEE Wireless Communications, 17(1), 51–58.
29.
30.
31.
32.
Touijer, B., Maissa, Y. B., & Mouline, S. (2021). IEEE 802.15. 6 CSMA/CA access method for WBANs: Performance evaluation and new backoff counter selection procedure. Computer Networks, 188, 107759.
33.
Shen, G., Song, W., Gui, Y. and Gao, H., (2020) Access control for wireless body area networks. In: International conference on security and privacy in new computing environments (pp. 244–254). Springer, Cham.
34.
Ibrahim, A.A. and Bayat, O., 2020, June. Medium Access Control Protocol-based Energy and Quality of Service routing scheme for WBAN. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1–6). IEEE.
35.
La Manna, M., Perazzo, P., & Dini, G. (2021). SEA-BREW: A scalable attribute-based encryption revocable scheme for low-bitrate IoT wireless networks. Journal of Information Security and Applications, 58, 102692.
36.
Al-Janabi, S., Al-Shourbaji, I., Shojafar, M., & Shamshirband, S. (2017). Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications. Egyptian Informatics Journal, 18(2), 113–122.
37.
Balasubramanyn, V.B., Thamilarasu, G. and Sridhar, R., (2007) Security solution for data integrity in wireless biosensor networks. In: Distributed computing systems workshops, 2007. ICDCSW'07. 27th International Conference on (pp. 79–79). IEEE.
38.
Al Ameen, M., Liu, J., & Kwak, K. (2012). Security and privacy issues in wireless sensor networks for healthcare applications. Journal of Medical Systems, 36(1), 93–101.
39.
Saba, T., Haseeb, K., Ahmed, I., & Rehman, A. (2020). Secure and energy-efficient framework using internet of medical things for e-healthcare. Journal of Infection and Public Health, 13(10), 1567–1575.
40.
Alzubi, A., & Sari, A. (2016). Deployment of hash function to enhance message integrity in wireless body area network (WBAN). International Journal of Communications, Network and System Sciences, 9(12), 613.
41.
Shanmugapriya, I., & Kumar, S. V. (2020). Pseudonym public key based sakai-kasahara certificateless signcryption for securing communication in WBAN. Journal of Critical Reviews, 7(6), 70–77.
42.
Kumar, R., & Mukesh, R. (2013). State of the art: Security in wireless body area networks. International Journal of Computer Science & Engineering Technology (IJCSET), 4(05), 622–630.
43.
44.
45.
Bengag, A., Bengag, A., & Moussaoui, O. (2020). Attacks classification and a novel IDS for detecting jamming attack in WBAN. Advances in Science, Technology and Engineering Systems Journal, 5(2), 80–86.
46.
Arora K., Mahajan S. (2021) Detecting denial-of-service attack using dendritic cell approach. In D. Goyal, A.K. Gupta, V. Piuri, M. Ganzha, & M. Paprzycki (Eds.), Proceedings of the second international conference on information management and machine intelligence. Lecture notes in networks and systems (vol. 166). Singapore: Springer. https://​doi.​org/​10.​1007/​978-981-15-9689-6_​55.
47.
Alsubaie, F, Al-Akhras, M and Alzahrani, H. A., (2020) Using machine learning for intrusion detection system in wireless body area network. In: 2020 First international conference of smart systems and emerging technologies (SMARTTECH), Riyadh, Saudi Arabia, 2020 (pp. 100–104). https://​doi.​org/​10.​1109/​SMART-TECH49988.​2020.​00036.
48.
Muhsin, Y. A., & Yassin, A. A. (2020). Design a lightweight authentication scheme for WBAN in healthcare systems. Journal of Basrah Researches (Sciences), 46(1), 160–170.
49.
Corral-Plaza, D., Reich, O., Hübner, E., Wagner, M., & Medina-Bulo, I., (2019). A sensor fusion system identifying complex events for localisation estimation. In Proceedings of the 16th international conference on applied computing.
50.
Sundar, S., Kumar, R., & Kittur, H. M. (2020). Improved indoor location tracking system for mobile nodes. International Journal of Computer Aided Engineering and Technology, 12(1), 1–16.
51.
52.
Poongodi, T., Rathee, A., Indrakumari, R., & Suresh, P. (2020). IoT sensing capabilities: Sensor deployment and node discovery, wearable sensors, wireless body area network (WBAN), data acquisition. In S. L. Peng, S. Pal, & L. Huang (Eds.), Principles of internet of things (IoT) ecosystem: Insight paradigm (pp. 127–151). Springer.
53.
Cherukuri, S., Venkatasubramanian, K. K., & Gupta, S. K. (2003). BioSec: A biometric based approach for securing communication in wireless networks of biosensors implanted in the human body. In Parallel processing workshops, 2003. Proceedings. 2003 International conference on (pp. 432–439). IEEE.
54.
55.
Umar, M., Wu, Z., & Liao, X. (2021). Channel characteristics aware zero knowledge proof based authentication scheme in body area networks. Ad Hoc Networks, 112, 102374.
56.
Tan, X., Zhang, J., Zhang, Y., Qin, Z., Ding, Y., & Wang, X. (2020). A PUF-based and cloud-assisted lightweight authentication for multi-hop body area network. Tsinghua Science and Technology, 26(1), 36–47.
57.
58.
Umar, M., Wu, Z., & Liao, X. (2020). Mutual authentication in body area networks using signal propagation characteristics. IEEE Access, 8, 66411–66422.
59.
Rehman, Z. U., Altaf, S., & Iqbal, S. (2020). An efficient lightweight key agreement and authentication scheme for WBAN. IEEE Access, 8, 175385–175397.
60.
Wang, C., Zheng, W., Ji, S., Liu, Q. and Wang, A., (2018). Identity-based fast authentication scheme for smart mobile devices in body area networks. Wireless Communications and Mobile Computing, 2018.
61.
Chatterjee, K. (2019). An improved authentication protocol for wireless body sensor networks applied in healthcare applications. Wireless Personal Communications, 111, 1–19.
62.
Kumar, P., & Lee, H. J. (2012). Security issues in healthcare applications using wireless medical sensor networks: A survey. Sensors, 12(1), 55–91.
63.
Saleem, S., Ullah, S., & Kwak, K. S. (2011). A study of IEEE 802.15. 4 security framework for wireless body area networks. Sensors, 11(2), 1383–1395.
64.
Roy, S., & Biswas, S. (2019). A novel trust evaluation model based on data freshness in WBAN. In Proceedings of international ethical hacking conference 2018 (pp. 223–232). Singapore: Springer.
65.
Saha, S., & Anvekar, D. K. (2017). A poly_hop message routing approach through node and data classification for optimizing energy consumption and enhanced reliability in WBAN. In: 2017 International conference on smart technologies for smart nation (SmartTechCon) (pp. 788–792). IEEE.
66.
Thomas, J. (2009). Medical records and issues in negligence. Indian Journal of Urology: IJU: Journal of the Urological Society of India, 25(3), 384.
67.
Li, M., Lou, W., & Ren, K. (2010). Data security and privacy in wireless body area networks. IEEE Wireless communications, 17(1), 51–58.
68.
Bruhadeshwar, B., Kothapalli, K., Poornima, M. and Divya, M., (2009). Routing protocol security using symmetric key based techniques. In: 2009 International conference on availability, reliability and security (pp. 193–200). IEEE.
69.
Saleem, S., Ullah, S., & Yoo, H. S. (2009). On the security issues in wireless body area networks. JDCTA, 3(3), 178–184.
70.
Law, Y., Doumen, J., & Hartel, P. (2004). Survey and benchmark of block ciphers for wireless sensor networks. Technical Report TR-CTIT-04–07, Centre for Telematics and Information Technology. The Netherlands: University of Twente.
71.
Sampangi, R.V., Dey, S., Urs, S.R. and Sampalli, S., (2012). A security suite for wireless body area networks. arXiv preprint arXiv:​1202.​2171
72.
Baqai, A., Umrani, F. A., & Chowdhry, B. S. (2017). A novel protocol with patient and node identification for optical WBAN with inherent security and interference rejection. Wireless Personal Communications, 95(4), 4211–4224.
73.
Baqai, A. (2014). Design, development and implementation of the IR signaling techniques for monitoring ambient and body temperature. Mehran University Research Journal of Engineering and Technology, 33(3), 365–366.
74.
Kumar, P., & Sharma, A. (2018). Data security using genetic algorithm in wireless body area network. International Journal of Advanced Studies of Scientific Research, 3(9), 5.
75.
Lin, C. H., Wu, J. X., Chen, P. Y., Li, C. M., Pai, N. S., & Kuo, C. L. (2021). Symmetric cryptography with a chaotic map and a multilayer machine learning network for physiological signal infosecurity: Case study in electrocardiogram. IEEE Access, 9, 26451–26467.
76.
Pareek, N. K., Patidar, V., & Sud, K. K. (2013). Diffusion–substitution based gray image encryption scheme. Digital Signal Processing, 23(3), 894–901.MathSciNet
77.
Norouzi, B., Seyedzadeh, S. M., Mirzakuchaki, S., & Mosavi, M. R. (2014). A novel image encryption based on hash function with only two-round diffusion process. Multimedia Systems, 20(1), 45–64.MATH
78.
Anwar, S., & Meghana, S. (2019). A pixel permutation based image encryption technique using chaotic map. Multimedia Tools and Applications, 78(19), 27569–27590.
79.
San-Um, W., & Chuayphan, N. (2014). A lossless physical-layer encryption scheme in medical picture archiving and communication systems using highly-robust chaotic signals. In: The 7th 2014 biomedical engineering international conference (pp. 1–5). IEEE.
80.
Telem, A. N. K., Segning, C. M., Kenne, G., & Fotsin, H. B. (2014). A simple and robust gray image encryption scheme using chaotic logistic map and artificial neural network. Advances in Multimedia, 2014, 19.
81.
Yang, T.-L., Lin, C.-H., Chen, W.-L., Lin, H.-Y., Chen-San, Su., & Liang, C.-K. (2019). Hash transformation and machine learning-based decision-making classifier improved the accuracy rate of automated Parkinson’s disease screening. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(1), 72–82.
82.
Yang, T. L., Kan, P. J., Lin, C. H., Lin, H. Y., Chen, W. L., & Yau, H. T. (2019). Using polar expression features and nonlinear machine learning classifier for automated Parkinson’s disease screening. IEEE Sensors Journal, 20(1), 501–514.
83.
Wu, J. X., Chen, P. Y., Li, C. M., Kuo, Y. C., Pai, N. S., & Lin, C. H. (2020). Multilayer fractional-order machine vision classifier for rapid typical lung diseases screening on digital chest X-Ray images. IEEE Access, 8, 105886–105902.
84.
Chougrad, H., Zouaki, H., & Alheyane, O. (2018). Deep convolutional neural networks for breast cancer screening. Computer Methods and Programs in Biomedicine, 157, 19–30.
85.
Li, T. H. S., Liu, C. Y., Kuo, P. H., Fang, N. C., Li, C. H., Cheng, C. W., Hsieh, C. Y., Wu, L. F., Liang, J. J., & Chen, C. Y. (2017). A three-dimensional adaptive PSO-based packing algorithm for an IoT-based automated e-fulfillment packaging system. IEEE Access, 5, 9188–9205.
86.
87.
Darwish, A., & Hassanien, A. E. (2011). Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors, 11(6), 5561–5595.
88.
He, D., & Zeadally, S. (2015). Authentication protocol for an ambient assisted living system. IEEE Communications Magazine, 53(1), 71–77.
89.
Liu, J., Zhang, Z., Chen, X., & Kwak, K. S. (2013). Certificate less remote anonymous authentication schemes for wireless body area networks. IEEE Transactions on Parallel and Distributed Systems, 25(2), 332–342.
90.
Zhao, Z. (2014). An efficient anonymous authentication scheme for wireless body area networks using elliptic curve cryptosystem. Journal of Medical Systems, 38(2), 13.
91.
Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing (No. RFC 3561) Google Scholar.
92.
Manfredi, S. (2012). Reliable and energy-efficient cooperative routing algorithm for wireless monitoring systems. IET Wireless Sensor Systems, 2(2), 128–135.
93.
Li, X., Peng, J., Kumari, S., Wu, F., Karuppiah, M., & Choo, K. K. R. (2017). An enhanced 1-round authentication protocol for wireless body area networks with user anonymity. Computers & Electrical Engineering, 61, 238–249.
94.
Liu, J., Zhang, L., & Sun, R. (2016). 1-Raap: An efficient 1-round anonymous authentication protocol for wireless body area networks. Sensors, 16, 728.
95.
Xiong, H., & Qin, Z. (2015). Revocable and scalable certificateless remote authentication protocol with anonymity for wireless body area networks. IEEE Transactions on Information Forensics and Security, 10(7), 1442–1455.
96.
Singla, R., & Kaur, N. (2018). Compressed and secure energy efficient routing protocol for WBAN. International Journal of Computer Sciences and Engineering, 6(7), 254–260.
97.
Malmivuo, J., & Plonsey, R. (1995). Bioelectromagnetism: Principles and applications of bioelectric and biomagnetic fields. Oxford University Press.
98.
Guennoun, M., Zandi, M., & El-Khatib, K. (2008). On the use of biometrics to secure wireless biosensor networks. In: 2008 3rd International conference on information and communication technologies: From theory to applications (pp. 1–5). IEEE.
99.
Mana, M., Feham, M., & Bensaber, B. A. (2009). SEKEBAN (Secure and Efficient Key Exchange for wireless Body Area Network). International Journal of Advanced Science and Technology.
100.
Haque, M. M., Pathan, A. S. K., & Hong, C.S. (2008). Securing U-healthcare sensor networks using public key based scheme. In: 2008 10th International conference on advanced communication technology (Vol. 2, pp. 1108–1111). IEEE.
101.
Großschädl, J., Szekely, A., & Tillich, S. (2007). The energy cost of cryptographic key establishment in wireless sensor networks. In: Proceedings of the 2nd ACM symposium on information, computer and communications security (pp. 380–382).
102.
Wang, H., Fang, H., Xing, L., & Chen, M. (2011). An integrated biometric-based security framework using wavelet-domain HMM in wireless body area networks (WBAN). In: 2011 IEEE international conference on communications (ICC) (pp. 1–5). IEEE.
103.
Khan, F. A., Ali, A., Abbas, H., & Haldar, N. A. H. (2014). A cloud-based healthcare framework for security and patients’ data privacy using wireless body area networks. Procedia Computer Science, 34, 511–517.
104.
Chen, H., Ding, D., Su, S. and Yin, J., (2020). Biometrics-based cryptography scheme for E-Health systems. In: Journal of Physics: Conference Series (Vol. 1550, p. 022039). IOP Publishing.
105.
Juels, A., & Sudan, M. (2002) A fuzzy vault scheme. In: IEEE International symposium on information theory (pp. 408–415). Lausanne.
106.
Sammoud, A., Chalouf, M. A., Hamdi, O., Montavont, N., & Bouallegue, A. (2020). A new biometrics-based key establishment protocol in WBAN: Energy efficiency and security robustness analysis. Computers & Security, 96, 101838.
107.
Jammali, N., & Fourati, L.C. (2015). PFKA: A physiological feature based key agreement for wireless body area network. In 2015 International conference on wireless networks and mobile communications (WINCOM) (pp. 1–8). IEEE.
108.
Zaghouani, E. K., Jemai, A., Benzina, A. and Attia, R., (2015). ELPA: A new key agreement scheme based on linear prediction of ECG features for WBAN. In: 2015 23rd European signal processing conference (EUSIPCO) (pp. 81–85). IEEE.
109.
Bui, F. M., & Hatzinakos, D. (2007). Biometric methods for secure communications in body sensor networks: Resource-efficient key management and signal-level data scrambling. EURASIP Journal on Advances in Signal Processing, 2008, 1–16.MATH
110.
Poon, C. C., Zhang, Y. T., & Bao, S. D. (2006). A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health. IEEE Communications Magazine, 44(4), 73–81.
111.
Venkatasubramanian, K.K., Banerjee, A. and Gupta, S.K., (2008). EKG-based key agreement in body sensor networks. In: IEEE Infocom Workshops 2008 (pp. 1–6). IEEE.
112.
Farooq, S., Prashar, D., & Jyoti, K. (2018). Hybrid encryption algorithm in wireless body area networks (WBAN). In R. Singh, S. Choudhury, & A. Gehlot (Eds.), Intelligent communication, control and devices (pp. 401–410). Springer.
113.
Pan, J., Li, S., & Xu, Z. (2012). Security mechanism for a wireless-sensor-network-based healthcare monitoring system. IET Communications, 6(18), 3274–3280.
114.
Liu, J., & Kwak, K. S. (2010). Hybrid security mechanisms for wireless body area networks. In: Ubiquitous and future networks (ICUFN), 2010 Second international conference on (pp. 98–103). IEEE.
115.
Barua, M., Alam, M. S., Liang, X., & Shen, X. (2011, March). Secure and quality of service assurance scheduling scheme for wban with application to ehealth. In 2011 IEEE Wireless Communications and Networking Conference (pp. 1102–1106). IEEE.
116.
Drira, W., Renault, E. and Zeghlache, D., (2012). A hybrid authentication and key establishment scheme for wban. In: Trust, security and privacy in computing and communications (TrustCom), 2012 IEEE 11th international conference on (pp. 78–83). IEEE.
117.
Irum, S., Ali, A., Khan, F. A., & Abbas, H. (2013). A hybrid security mechanism for intra-WBAN and inter-WBAN communications. International Journal of Distributed Sensor Networks, 9(8), 842608.
118.
Muhammad, K.-U.R.S., Lee, H., Lee, S., & Lee, Y.-K. (2010). BARI+: A biometric based distributed key management approach for wireless body area networks. Sensors, 10(4), 3911–3933.
119.
He, D., Zeadally, S., Kumar, N., & Lee, J. H. (2016). Anonymous authentication for wireless body area networks with provable security. IEEE Systems Journal, 11(4), 2590–2601.
120.
Amin, R., Islam, S. H., Biswas, G. P., Khan, M. K., & Li, X. (2015). Cryptanalysis and enhancement of anonymity preserving remote user mutual authentication and session key agreement scheme for e-health care systems. Journal of Medical Systems, 39(11), 140.
121.
Hercigonja, Z. (2016). Comparative analysis of cryptographic algorithms. International Journal of Digital Technology & Economy, 1(2), 127–134.
122.
Priya, C. L., & Visalakshi, U. S. (2017). Secure and efficient communication using ECC algorithm in wireless body area network. International Journal of Engineering Science, 7, 10073.
123.
Harba, E. S. I. (2017). Secure data encryption through a combination of AES, RSA and HMAC. Engineering, Technology & Applied Science Research, 7(4), 1781–1785.
124.
Basnet, A., Alsadoon, A., Prasad, P. W. C., Alsadoon, O. H., Pham, L., & Elchouemi, A. (2019). A novel secure patient data transmission through wireless body area network: Health tele-monitoring. International Journal of Communication Networks and Information Security, 11(1), 93–104.
Metadaten
Titel
Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis
verfasst von
Ripty Singla
Navneet Kaur
Deepika Koundal
Anuj Bharadwaj
Publikationsdatum
22.08.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08969-0

Weitere Artikel der Ausgabe 2/2022

Wireless Personal Communications 2/2022 Zur Ausgabe

OriginalPaper

An Efficient Modified Dragonfly Optimization Based MIMO-OFDM for Enhancing QoS in Wireless Multimedia Communication

OriginalPaper

A Feature Reduced Intrusion Detection System with Optimized SVM Using Big Bang Big Crunch Optimization

OriginalPaper

A Fuzzy Logic-Based Method for Replica Placement in the Peer to Peer Cloud Using an Optimization Algorithm

OriginalPaper

Adaptive Group Teaching Based Clustering and Data Aggregation with Routing in Wireless Sensor Network

OriginalPaper

A Meta-Heuristic Based Approach with Modified Mutation Operation For Heterogeneous Networks

OriginalPaper

Smart City Healthcare Cyber Physical System: Characteristics, Technologies  and Challenges

Neuer Inhalt

    Bildnachweise