A Computerized Information Security Communication Method Based on Deep Learning Theory

[1] Ge, M., Bangui, H., & Buhnova, B. (2018). Big data for internet of things: a survey. Future generation computer systems, 87, 601-614. Search in Google Scholar

[2] Stergiou, C., Psannis, K. E., Gupta, B. B., & Ishibashi, Y. (2018). Security, privacy & efficiency of sustainable cloud computing for big data & IoT. Sustainable Computing: Informatics and Systems, 19, 174-184. Search in Google Scholar

[3] Yin, C., Zhu, Y., Fei, J., & He, X. (2017). A deep learning approach for intrusion detection using recurrent neural networks. Ieee Access, 5, 21954-21961. Search in Google Scholar

[4] Cui, Z., Xue, F., Cai, X., Cao, Y., Wang, G. G., & Chen, J. (2018). Detection of malicious code variants based on deep learning. IEEE Transactions on Industrial Informatics, 14(7), 3187-3196. Search in Google Scholar

[5] Amanullah, M. A., Habeeb, R. A. A., Nasaruddin, F. H., Gani, A., Ahmed, E., Nainar, A. S. M., ... & Imran, M. (2020). Deep learning and big data technologies for IoT security. Computer Communications, 151, 495-517. Search in Google Scholar

[6] Berman, D. S., Buczak, A. L., Chavis, J. S., & Corbett, C. L. (2019). A survey of deep learning methods for cyber security. Information, 10(4), 122. Search in Google Scholar

[7] Nguyen, T. T., & Reddi, V. J. (2021). Deep reinforcement learning for cyber security. IEEE Transactions on Neural Networks and Learning Systems, 34(8), 3779-3795. Search in Google Scholar

[8] Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020). A survey of machine and deep learning methods for internet of things (IoT) security. IEEE communications surveys & tutorials, 22(3), 1646-1685. Search in Google Scholar

[9] Wu, Y., Wei, D., & Feng, J. (2020). Network attacks detection methods based on deep learning techniques: a survey. Security and Communication Networks, 2020(1), 8872923. Search in Google Scholar

[10] Karatas, G., Demir, O., & Sahingoz, O. K. (2018, December). Deep learning in intrusion detection systems. In 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) (pp. 113-116). IEEE. Search in Google Scholar

[11] Li, P., Li, J., Huang, Z., Li, T., Gao, C. Z., Yiu, S. M., & Chen, K. (2017). Multi-key privacy-preserving deep learning in cloud computing. Future Generation Computer Systems, 74, 76-85. Search in Google Scholar

[12] Phong, L. T., Aono, Y., Hayashi, T., Wang, L., & Moriai, S. (2017). Privacy-preserving deep learning: Revisited and enhanced. In Applications and Techniques in Information Security: 8th International Conference, ATIS 2017, Auckland, New Zealand, July 6–7, 2017, Proceedings (pp. 100-110). Springer Singapore. Search in Google Scholar

[13] Muna, A. H., Moustafa, N., & Sitnikova, E. (2018). Identification of malicious activities in industrial internet of things based on deep learning models. Journal of information security and applications, 41, 1-11. Search in Google Scholar

[14] Khan, A. R., Kashif, M., Jhaveri, R. H., Raut, R., Saba, T., & Bahaj, S. A. (2022). Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions. Security and communication networks, 2022(1), 4016073. Search in Google Scholar

[15] Parra, G. D. L. T., Rad, P., Choo, K. K. R., & Beebe, N. (2020). Detecting Internet of Things attacks using distributed deep learning. Journal of Network and Computer Applications, 163, 102662. Search in Google Scholar

[16] Tariq, M. I., Memon, N. A., Ahmed, S., Tayyaba, S., Mushtaq, M. T., Mian, N. A., ... & Ashraf, M. W. (2020). A review of deep learning security and privacy defensive techniques. Mobile Information Systems, 2020(1), 6535834. Search in Google Scholar

[17] Mahdavifar, S., & Ghorbani, A. A. (2019). Application of deep learning to cybersecurity: A survey. Neurocomputing, 347, 149-176. Search in Google Scholar

[18] Ullah, F., Naeem, H., Jabbar, S., Khalid, S., Latif, M. A., Al-Turjman, F., & Mostarda, L. (2019). Cyber security threats detection in internet of things using deep learning approach. IEEE access, 7, 124379-124389. Search in Google Scholar

[19] Roopak, M., Tian, G. Y., & Chambers, J. (2019, January). Deep learning models for cyber security in IoT networks. In 2019 IEEE 9th annual computing and communication workshop and conference (CCWC) (pp. 0452-0457). IEEE. Search in Google Scholar

[20] Chen, D., Wawrzynski, P., & Lv, Z. (2021). Cyber security in smart cities: a review of deep learning-based applications and case studies. Sustainable Cities and Society, 66, 102655. Search in Google Scholar

[21] Jiang, F., Fu, Y., Gupta, B. B., Liang, Y., Rho, S., Lou, F., ... & Tian, Z. (2018). Deep learning based multi-channel intelligent attack detection for data security. IEEE transactions on Sustainable Computing, 5(2), 204-212. Search in Google Scholar

[22] Vigneswaran, R. K., Vinayakumar, R., Soman, K. P., & Poornachandran, P. (2018, July). Evaluating shallow and deep neural networks for network intrusion detection systems in cyber security. In 2018 9th International conference on computing, communication and networking technologies (ICCCNT) (pp. 1-6). IEEE. Search in Google Scholar

[23] K. Hemalatha & M. Amanullah. (2024). Effective Hybrid Deep Learning Model of GAN and LSTM for Clustering and Data Aggregation in Wireless Sensor Networks. International Journal of Sensors, Wireless Communications and Control(2),122-133. Search in Google Scholar

[24] Chenxuan Zhang & Junlin Zhu. (2024). AML leukocyte classification method for small samples based on ACGAN.. Biomedizinische Technik. Biomedical engineering Search in Google Scholar

[25] Aroona Ayub & HyungWon Kim. (2024). GAN-Based Data Augmentation with Vehicle Color Changes to Train a Vehicle Detection CNN. Electronics(7), Search in Google Scholar

[26] Xu Xuwei, Zhou Yuan, Lu Xiechun & Chen Zhanlong. (2023). FERA-Net: A Building Change Detection Method for High-Resolution Remote Sensing Imagery Based on Residual Attention and High-Frequency Features. Remote Sensing(2),395-395. Search in Google Scholar