Article Details
An Efficient Intrusion Detection Framework for Software-Defined Networks Using Chaotic Panda Optimization and Multi-Scale Transformer Attention Network
Author(s)
, P. Kavitha
Abstract
Keywords
Software-Defined Networks, Intrusion Detection, Chaotic Panda Optimization, Multi-Scale Transformer Attention Network
References
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[1] Sasi Rekha Sankar; B. Jothi., Year: 2026, “EGOA-DL-IDS: explainable intrusion detection in SDN-based industrial cyber physical system with optimized deep learning techniques,” Cluster Computing, Vol: 29, No: 4, pp. 242.
-
[2] USMAN Ahmed; Muhammad Tariq Sadiq, Year: 2026, “Enhancing SDN Intrusion Detection via Multi-Hybrid Deep Learning Fusion and Explainable AI,” Mathematics, Vol: 14, No: 9, pp. 1498.
-
[3] Sheikh Abdul Wahab; Saira Sultana; Noshina Tariq; Maleeha Mujahid; Javed Ali Khan; Alexios Mylonas, Year: 2025, “A multi-class intrusion detection system for DDoS attacks in IoT networks using deep learning and transformers,” Sensors 25, No: 15,pp. 4845.
-
[4] K. Sivakumar; Kakoli Banerjee; R. Vibin; B. Saravanan; Satyajee Srivastava; R. Anand; V. Bhoopathy, Year: 2024, “AI-driven green network management for future Internet and software-defined networking (SDN),”.
-
[5] Ayşe Okutan Kara; Aytuğ Boyacı, Year: 2026, “Transformer–DDQN-Based Explainable and Active Intrusion Detection Architecture for Network Traffic Analysis,”Applied Sciences, Vol: 16, No: 12, pp. 5912.
-
[6] Laraib Sana; Muhammad Mohsin Nazir; Jing Yang; Lal Hussain; Yen-Lin Chen; Chin Soon Ku; Mohammed Alatiyyah, Sulaiman Abdullah Alateyah, and Lip Yee Por, Year: 2024, “Securing the IoT cyber environment: Enhancing intrusion anomaly detection with vision transformers,” IEEE Access, Vol: 12, pp. 82443-82468.
-
[7] Zhenyue Long; Huiru Yan; Guiquan Shen; Xiaolu Zhang; Haoyang He; Long Cheng, Year: 2024, “A Transformer-based network intrusion detection approach for cloud security,” Journal of Cloud Computing, Vol: 13, No: 1, pp. 5.
-
[8] Mohammed N Swileh; Shengli Zhang, Year: 2025, “Unseen attack detection in software-defined networking using a BERT-based large language model,”AI, Vol: 6, No: 7, pp. 154.
-
[9] Sirajudeen Ameer John; Senthilnathan Palaniappan P; Gopichand G; Ganesan G, Year: 2026, “Advanced IoT intrusion detection using hybrid attention-based deep learning with DenseNet-ViT and AlexNet-BERT,” Journal of Cloud Computing.
-
[10] Jamal Alotaibi, Year: 2025, “A hybrid software-defined networking approach for enhancing IoT cybersecurity with deep learning and blockchain in smart cities,” Peer-to-Peer networking and Applications, Vol: 18, No: 3, pp. 123.
-
[11] Majid H Alsulami, Year: 2024, “Residual dense optimization-based multi-attention transformer to detect network intrusion against cyber-attacks,” Applied Sciences, Vol: 14, No: 17, pp. 7763.
-
[12] G. B Veeresh; Vanita Jaitly; V. Lokeswara Reddy, Year: 2025, “Swish-Optimized trident fusion network for precise attack classification in software-defined networks,” Knowledge-Based Systems, pp. 114860.