Digital Twin Enabled Cognitive Id Using Hybrid CNN-BiLSTM For Autonomous Threat Prediction In Smart IoT Ecosystems | Journal of Engineering Strategy and Innovation | JESI
Digital Twin Enabled Cognitive Id Using Hybrid CNN-BiLSTM For Autonomous Threat Prediction In Smart IoT Ecosystems
Author(s) RegistryV. Hemamalini, S. Banupriya, A.Vijayasri
Volume & IssueVol 1, Iss 01
Acceptance Date26 Jun 2026
Publication Date17 Jul 2026
Digital DOI Handle*
Abstract
Smart IoT systems become susceptible to advanced attacks owing to their fast proliferation. Hence, intelligent and adaptive security measures are essential. Traditional intrusion detection systems often suffer from poor context awareness, inadequate attack response time, and lack of adaptation to dynamic IoT environment. In order to overcome these challenges, in this paper we propose a Hybrid Attention-Driven Deep Learning (DL) based Cognitive intrusion detection (ID) and Autonomous Threat Prediction scheme for Digital Twin (DT)-based IoT ecosystem. Our proposed approach generates a virtual representation of IoT systems and its behavior to continuously monitor the status of the system. In order to enhance intrusion detection efficiency and analyze spatialtemporal attack characteristics, a hybrid DL approach incorporates CNN, BiLSTM networks and attention mechanism. Also, in order to predict attacks beforehand using behavioral patterns, a Threat Prediction Module is designed.
Afaq, Syed Adnan, Mohd Shahid Husain, Almustapha Bello, and Halima Sadia. "A critical analysis of cyber threats and their global impact." In Computational intelligent security in wireless communications, pp. 201-220. CRC Press, 2023.
Serpanos, Dimitrios, and Marilyn Wolf. "Internet-of-Things (IoT) Systems." Architectures, Algorithms,
Methodologies (2018).
Chai, Yuqing. "Understanding the power of connection: An analysis of the Internet of Things." In 2025 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), pp. 1-5. IEEE, 2025.
Gubbi, Jayavardhana, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. "Internet of Things (IoT): A vision, architectural elements, and future directions." Future generation computer systems 29, no. 7 (2013): 1645-1660. Journal of Engineering Strategy and Innovation, 01(1), 33-40, 2026 8
Rakas, Slavica V. Boštjančič, Mirjana D. Stojanović, and Jasna D. Marković-Petrović. "A review of research work on network-based scada IDSs." IEEE Access 8 (2020): 93083-
Hozouri, Ali, Abbas Mirzaei, and Mehdi Effatparvar. "A comprehensive survey on IDSs with advances in machine learning, DL and emerging cybersecurity challenges." Discover Artificial Intelligence 5, no. 1 (2025):
Mohamed, Nachaat. "Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms." Knowledge and
Information Systems 67, no. 8 (2025): 6969-7055.
Iranshahi, Kamran, Joshua Brun, Tim Arnold, Thomas Sergi, and Ulf Christian Müller. "DTs: Recent advances and future directions in engineering fields." Intelligent Systems with
Applications 26 (2025): 200516.
Maria Priska A, Dr.K.Madhan Kumar, Mrs.X.M.Binisha, &
Ms.K.Sneha. (2025). Novel And Hybrid Frameworks for Attack Detection And Secure Transmission in Manet. International Journal of Advanced Engineering and Management System, 1(3), 204 -213. https://doi.org/10.65379/tpsn2013/ijaemsv01i03p3
Hassija, Vikas, Vinay Chamola, Rajdipta De, Soham Das, Arjab Chakrabarti, Kuldip Singh Sangwan, and Amit Pandey. "A survey on DTs: enabling technologies, use cases, application, open issues, and more." IEEE Journal of Selected
Areas in Sensors 2 (2024): 84-107.
Aldallal, Isam Bahaa, Abdullahi Abdu Ibrahim, and Saadaldeen Rashid Ahmed. "An Intelligent Multi-Stage GA– SVM Hybrid Optimization Framework for Attribute Engineering and IDin Internet of Things Networks." Computers, Materials, & Continua 87, no. 1 (2026).
Al Abdulwahid, Abdulwahid, Saad Said Alqahtany, Darakhshan Syed, Mana Saleh Al Reshan, Khairan Rajab, and Asadullah Shaikh. "A hybrid improved binary GWO-PSO with random forest (IBGWO-PSO-RF) based IDmodel for large- scale attacks in IoT environment." Scientific Reports (2026).
Pourbasirat, Mehdi, Majid IranPour Mobarakeh, and Behzad Soleimani Neysiani. "FlowSense: InterpreTABLE Micro- Temporal Flow-Based IDfor IoT Networks Using Gradient- Regularized Decision Trees on RT-IoT2022 Dataset." In 2026 12th International Conference on Web Research (ICWR), pp. 383-389. IEEE, 2026.
Nourildean, Shayma Wail, Wafa Mefteh, and Ali Mohsen Frihida. "IDS-based ensemble machine learning to improve IoT network against cyber attacks." The Journal of
Supercomputing 82, no. 6 (2026): 370.
Sahoo, Jyoti Prakash, Binayak Kar, Ahmed M. Abdelmoniem, and Dimitris Chatzopoulos. "Choir-IDS: A federated learning framework for fidelity-calibrated explainable IDS for edge-IoT networks." Information Fusion 125 (2026): 103473.
Sagu, Amit, Nasib Singh Gill, Preeti Gulia, Piyush Kumar Shukla, Ayman Sabry, and Mohamed M. Hassan. "Scalable and InterpreTABLE DL‐Based IDFramework for Secure Internet of Things Networks." Security and Privacy 9, no. 1 (2026): e70179.
Zayed, Samar M., Samah Alshathri, and Walid El-Shafai. "Firefly Algorithm Optimized Hybrid DL Framework for IDin IoT Environments." International Journal of Computational
Intelligence Systems 19, no. 1 (2026): 158.
Darla, Swathi, Naveena C, B. N. Ajay, and Muzameel Ahmed. "An optimized Bi-LSTM with DL-based IDS in healthcare using Blockchain." Information Security Journal: A Global
Perspective 35, no. 1 (2026): 140-153.
Qais Baig, Mirza, Ali Turab, and Farhan Ullah. "TIDE‐Net: A Two‐Stage Temporal DL Framework for Multi‐Granular IoT Intrusion Detection." Concurrency and Computation: Practice and Experience 38, no. 4 (2026): e70604.
Liu, Tianhao, and Omar Dib. "Advanced IDfor IoT devices using federated DL: T. Liu, O. Dib." International Journal of
Information Security 25, no. 1 (2026): 19.
Nasir N and Al Hamadi H (2025) Towards the neuromorphic Cyber-Twin: an architecture for cognitive defense in DT ecosystems. Front. Big Data 8:1659757. doi:
3389/fdata.2025.1659757
Liu, Chang, Yurong Zhang, Zheng Xue, Zhengguo Sheng, Jiawen Kang, and Guojun Han. "CATwin-IDS: Context-Aware IDS for Both In-Vehicle and External-Vehicle Networks via DT." IEEE Transactions on Intelligent Transportation
Systems (2026).
Mishra, Shailendra, Tariq Saleh M. Aldafas, and Naif S. Alshammari. "A zero-trust DT framework for privacy- preserving multi-dataset IDin industrial IoT with lightweight blockchain auditing." Scientific Reports (2026).
Deepa, M. "A Privacy-Preserving Self-Adaptive Federated IDFramework for DT Environments." In 2026 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), pp. 1-7. IEEE, 2026.
Dutta, Ashit Kumar, Mohd Anjum, Hong Min, Yousef Ibrahim Daradkeh, Jung Taek Seo, and Sana Shahab. "DT-assisted blockchain IoT security model using contrastive and causal learning techniques." Scientific Reports (2026).
Digital Twin Enabled Cognitive Id Using Hybrid CNN-BiLSTM For Autonomous Threat Prediction In Smart IoT Ecosystems
[1] V. Hemamalini, S. Banupriya, A.Vijayasri, "Digital Twin Enabled Cognitive Id Using Hybrid CNN-BiLSTM For Autonomous Threat Prediction In Smart IoT Ecosystems," *Journal of Engineering Strategy and Innovation (JESI)*, vol. 1, no. 1, pp. 32-39, 2026.
