تشخیص بات‌نت‌ها با استفاده از فنون یادگیری عمیق

[1]    M. La Polla, F. Martinelli, and D. Sgandurra, "A survey on security for mobile devices," IEEE communications surveys & tutorials, vol. 15, no. 1, pp. 446-471, 2012.

[2]    Y. Zeng, K. G. Shin, and X. Hu, "Design of SMS commanded-and-controlled and P2P-structured mobile botnets," in Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks, 2012, pp. 137-148.

[3]    A. Ezzatneshan, S. Kamel Tabbakh Farizani, M. Kheirabadi, and R. Ghaemi, "Providing a new solution to botnet detection in a Markov chain-based network," Electronic and Cyber Defense, vol. 9, no. 3, pp. 59-71, 2021.(in Persian)

[4]    H. Akbari and S. Safavi, "Estimate botnet using vicarious servers in distributed denial of service attacks," Journal of Electronical & Cyber Defence, pp. 95-109.(in Persian)

[5]    A. Flo and A. Josang, "Consequences of botnets spreading to mobile devices," in Short-Paper Proceedings of the 14th Nordic Conference on Secure IT Systems (NordSec 2009), 2009, pp. 37-43: Citeseer.

[6]    N. Sakthipriya, V. Govindasamy, and V. Akila, "Review of Deep Learning Approaches for IoT Botnet Detection," in Proceedings of International Conference on Communication and Computational Technologies, 2023, pp. 521-533: Springer.

[7]    M. Gopinath and S. C. Sethuraman, "A comprehensive survey on deep learning based malware detection techniques," Computer Science Review, vol. 47, p. 100529, 2023.

[8]    S. Hamzenejadi, M. Ghazvini, and S. Hosseini, "Mobile botnet detection: a comprehensive survey," International Journal of Information Security, pp. 1-39, 2022.

[9]    M. Moodi, M. Ghazvini, and H. Moodi, "A hybrid intelligent approach to detect android botnet using smart self-adaptive learning-based PSO-SVM," Knowledge-Based Systems, vol. 222, p. 106988, 2021.

[10] X. Meng and G. Spanoudakis, "MBotCS: A mobile botnet detection system based on machine learning," in International Conference on Risks and Security of Internet and Systems, 2015, pp. 274-291: Springer.

[11] Z. Abdullah, M. M. Saudi, and N. B. Anuar, "ABC: android botnet classification using feature selection and classification algorithms," Advanced Science Letters, vol. 23, no. 5, pp. 4717-4720, 2017.

[12] C. Tansettanakorn, S. Thongprasit, S. Thamkongka, and V. Visoottiviseth, "ABIS: a prototype of android botnet identification system," in 2016 Fifth ICT International Student Project Conference (ICT-ISPC), 2016, pp. 1-5: IEEE.

[13] S. Anwar, J. M. Zain, Z. Inayat, R. U. Haq, A. Karim, and A. N. Jabir, "A static approach towards mobile botnet detection," in 2016 3rd International Conference on Electronic Design (ICED), 2016, pp. 563-567: IEEE.

[14] J. f. Alqatawna and H. Faris, "Toward a detection framework for android botnet," in 2017 International Conference on New Trends in Computing Sciences (ICTCS), 2017, pp. 197-202: IEEE.

[15] S. Hojjatinia, S. Hamzenejadi, and H. Mohseni, "Android botnet detection using convolutional neural networks," in 2020 28th Iranian Conference on Electrical Engineering (ICEE), 2020, pp. 1-6: IEEE.

[16] S. Y. Yerima and M. K. Alzaylaee, "Mobile botnet detection: a deep learning approach using convolutional neural networks," in 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2020, pp. 1-8: IEEE.

[17] S. Y. Yerima and Y. To, "A deep learning-enhanced botnet detection system based on Android manifest text mining," in 2022 10th International Symposium on Digital Forensics and Security (ISDFS), 2022, pp. 1-6: IEEE.

[18] S. Balasunthar and Z. Abdullah, "Comparison of Convolutional Neural Network and Artificial Neural Network for Android Botnet Attack Detection," Applied Information Technology And Computer Science, vol. 3, no. 2, pp. 32-49, 2022.

[19] M. Faghihniya, R. Jalaei, and H. Shojaee Yas, "Kavosh: Offering an Analysis Method and the Impact of Normal Network Traffic on Selection and Extraction Based on the Minkowski Distance," Electronic and Cyber Defense, vol. 9, no. 1, pp. 137-147, 2021.(in Persian)

[20] A. M. Almuhaideb and D. Y. Alynanbaawi, "Applications of artificial intelligence to detect android botnets: A Survey," IEEE Access, vol. 10, pp. 71737-71748, 2022.

[21] R. Mishra and S. K. Jha, "Survey on Botnet Detection Techniques," in Internet of Things and Its Applications: Springer, 2022, pp. 441-449.