Author:
Naz Naila,Khan Muazzam A.,Khan Muhammad Asad,Khan Muhammad Almas,Jan Sana Ullah,Shah Syed Aziz,Arshad ,Abbasi Qammer H.,Ahmad Jawad
Publisher
Springer International Publishing
Reference33 articles.
1. Raghuvanshi, A., Singh, U.K., Joshi, C.: A review of various security and privacy innovations for IoT applications in healthcare. In: Advanced Healthcare Systems: Empowering Physicians with IoT-Enabled Technologies, pp. 43–58 (2022)
2. Isaac Abiodun, O., et al.: A review on the security of the internet of things: challenges and solutions. Wireless Personal Commun. 1–35 (2021)
3. Al-A’araji, N.H., Al-Mamory, S.O., Al-Shakarchi, A.H.: Classification and clustering based ensemble techniques for intrusion detection systems: a survey. J. Phys. Conf. Ser. 1818, 012106 (2021)
4. Zarpelao, B.B., Miani, R.S., Kawakani, C.T., Carlisto de Alvarenga, S.: A survey of intrusion detection in internet of things. J. Netw. Comput. Appl. 84, 25–37 (2017)
5. Bhati, B.S., Chugh, G., Al-Turjman, F., Bhati, N.S.: An improved ensemble based intrusion detection technique using XGboost. Trans. Emerg. Telecommun. Technol. 32(6), e4076 (2021)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Feasibility Study of Semi-supervised Intrusion Detection Systems for Industrial Control Systems;2024 10th International Conference on Applied System Innovation (ICASI);2024-04-17
2. Enhancing IoT Attack Detection Through Ensemble-Based Multiclass Attacks Classification;2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET);2023-12-04