An Optimized Deep Learning Based Malicious Nodes Detection in Intelligent Sensor-Based Systems Using Blockchain Swathi Darla, C. Naveena Journal of Advances in Information Technology, 2023 —In this research work, a blockchain-based secure routing model is proposed for Internet of Sensor Things (IoST), with the assistance acquired from deep learning-based hybrid meta-heuristic optimization model. The proposed model includes three major phases: (a) optimal cluster head selection, (b) lightweight blockchain-based registration and authentication mechanism, (c) optimized deep learning based malicious node identification and (d) optimal path identification. Initially, the network is constructed with N number of nodes. Among those nodes certain count of nodes is selected as optimal cluster head based on the two-fold objectives (energy consumption and delay) based hybrid optimization model. The proposed Chimp social incentive-based Mutated Poor Rich Optimization (CMPRO) Algorithm is the conceptual amalgamation of the standard Chimp Optimization Algorithm (ChOA) and Poor and Rich Optimization (PRO) approach. Moreover, blockchain is deployed on the optimal CHs and base station because they have sufficient storage and computational resources. Subsequently, a lightweight blockchain-based registration and authentication mechanism is undergone. After the authentication of the network, the presence of malicious nodes in the network is detected using the new Optimized Deep Belief Network. To enhance the detection accuracy of the model, the hidden layers of Deep Belief Network (DBN) is optimized using the new hybrid optimization model (CMPRO). After the detection of malicious nodes, the source node selects the shortest path to the destination and performs secure routing in the absence of malicious node. In the proposed model, the optimal path for routing the data is identified using the Dijkstra algorithm. As a whole the network becomes secured. Finally, the performance of the model is validated to manifest its efficiency over the existing models
Survey on Securing Internet of Things through Block chain Technology Swathi Darla, C Naveena Proceedings of the International Conference on Electronics and Renewable Systems Icears 2022, 2022 Internet of Things (IoT) has found wider acceptance due to its real-time and high efficient collaboration; Wireless Sensor Network aka WSN is core component for supporting the IoT operation. The security issue is one of the major concerns and several research works have been considered. This research review aims to conduct a critical review of the Blockchain-based WSN) domain. Blockchain-WSN aims to focus on the different aspects of security concerns in a wireless sensor network.. Moreover, the novelty of this research review lies in critical analysis of the adoption of blockchain in WSN in comparison with other research reviews. At first, this paper discusses the WSN and its challenges, especially from the security perspective through exposing the vulnerabilities in WSN. Further, this research review work introduces a blockchain approach review and its integration with conventional WSNs. Furthermore, several existing blockchain-WSN mechanism is reviewed and analyzed. At last limitation and restriction of blockchain-WSN is highlighted that open the research gap for designing the new mechanism for WSN security with blockchain
RECENT SCHOLAR PUBLICATIONS
Advanced Persistent Threat Detection Through Machine Learning S Darla, A Shanmukha, DSS Suhas, HA Kalahal 2026 Contemporary Computing Innovations Conference (CCIC), 1-5 , 2026 2026
Detecting Insider Threats Using Unsupervised Machine Learning S Darla, Y Nag, VV Gaonkar, MG DK 2026 Contemporary Computing Innovations Conference (CCIC), 1-6 , 2026 2026
AI-Based Encrypted Traffic Analysis for IoT Forensics S Darla, J Vishesh, B Chandra, PP Saranya, P Tanmayee 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Deepfake Image Detection System S Darla, Y Nag, A Kapoor, H Ranjan, S Kumar 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Automated vehicle collision detection: multi-model computer vision framework S Darla, P Kiran, U Kumar, BR Purnesh, D Vamshi 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026 Citations: 1
An optimized Bi-LSTM with deep learning-based intrusion detection system in healthcare using Blockchain S Darla, N C, BN Ajay, M Ahmed Information Security Journal: A Global Perspective 35 (1), 140-153 , 2026 2026 Citations: 1
Privacy-Preserving Machine Learning Framework for Secure Healthcare Applications S Darla, K Purushotham, G Pranathi, DN Navya 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
Improved adaptive spiral seagull optimizer for intrusion detection and mitigation in wireless sensor network S Darla, C Naveena SN Computer Science 5 (4), 394 , 2024 2024 Citations: 11
An optimized deep learning based malicious nodes detection in intelligent Sensor-Based systems using blockchain S Darla, C Naveena J. Adv. Inform. Technol 14 (5) , 2023 2023 Citations: 5
Survey on securing internet of things through block chain technology S Darla, C Naveena 2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022 2022 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Improved adaptive spiral seagull optimizer for intrusion detection and mitigation in wireless sensor network S Darla, C Naveena SN Computer Science 5 (4), 394 , 2024 2024 Citations: 11
Survey on securing internet of things through block chain technology S Darla, C Naveena 2022 International Conference on Electronics and Renewable Systems (ICEARS … , 2022 2022 Citations: 6
An optimized deep learning based malicious nodes detection in intelligent Sensor-Based systems using blockchain S Darla, C Naveena J. Adv. Inform. Technol 14 (5) , 2023 2023 Citations: 5
Automated vehicle collision detection: multi-model computer vision framework S Darla, P Kiran, U Kumar, BR Purnesh, D Vamshi 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026 Citations: 1
An optimized Bi-LSTM with deep learning-based intrusion detection system in healthcare using Blockchain S Darla, N C, BN Ajay, M Ahmed Information Security Journal: A Global Perspective 35 (1), 140-153 , 2026 2026 Citations: 1
Advanced Persistent Threat Detection Through Machine Learning S Darla, A Shanmukha, DSS Suhas, HA Kalahal 2026 Contemporary Computing Innovations Conference (CCIC), 1-5 , 2026 2026
Detecting Insider Threats Using Unsupervised Machine Learning S Darla, Y Nag, VV Gaonkar, MG DK 2026 Contemporary Computing Innovations Conference (CCIC), 1-6 , 2026 2026
AI-Based Encrypted Traffic Analysis for IoT Forensics S Darla, J Vishesh, B Chandra, PP Saranya, P Tanmayee 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Deepfake Image Detection System S Darla, Y Nag, A Kapoor, H Ranjan, S Kumar 2026 International Conference on Intelligent and Innovative Technologies in … , 2026 2026
Privacy-Preserving Machine Learning Framework for Secure Healthcare Applications S Darla, K Purushotham, G Pranathi, DN Navya 2025 5th International Conference on Mobile Networks and Wireless … , 2025 2025
