Robotic Cloud Automation-Enabled Attack Detection and Command Verification Using Attention-Based RNNs, ConvLSTM, and Bayesian Networks
DOI:
https://doi.org/10.46243/jst.2025.v10.i03.pp01-19Keywords:
Automated robotics, security in the cloud,, artificial intelligence,, detecting intrusions, verifying commands,, recurrent neural networks, ConvLSTM,, networks based on Bayesian statistics, identifying anomalies,, information security.Abstract
Background Information: The emergence of robotic cloud automation has brought about fresh
cybersecurity hurdles, particularly in protecting communication and control systems from
cyber threats. It is crucial to guarantee strong intrusion detection and verify commands
effectively.
Objectives: Create an AI framework by combining deep learning and probabilistic models to
improve intrusion detection and command verification in cloud-based robotic systems.
Methods: The system combines Attention-Based RNN, ConvLSTM, and Bayesian Networks
to identify abnormalities and authenticate instructions, utilizing temporal and spatial data for
instant threat identification.
References
Alagarsundaram, P. (2022). SYMMETRIC KEY-BASED DUPLICABLE STORAGE PROOF FOR ENCRYPTED DATA IN CLOUD STORAGE ENVIRONMENTS: SETTING UP AN INTEGRITY AUDITING HEARING. International Journal of Engineering Research and Science & Technology, 18(4), 128-136
Sitaraman, S. R., Alagarsundaram, P., Nagarajan, H., Gollavilli, V. S. B. H., Gattupalli, K., & Jayanthi, S. (2024). Bi-directional LSTM with regressive dropout and generic fuzzy logic along with federated learning and Edge AIenabled IoHT for predicting chronic kidney disease. Int J Eng Sci Res, 14(4), 162-183
Poovendran, A., Sitaraman, S. R., Bhavana, V. S. H. G., Kalyan, G., & Harikumar, N. (2024). Adaptive CNN-LSTM and neuro-fuzzy integration for edge AI and IoMT-enabled chronic kidney disease prediction. International Journal of Applied Science Engineering and Management, 18(3), 553-582
Gollavilli, V. S. B. H., Gattupalli, K., Nagarajan, H., Alagarsundaram, P., & Sitaraman, S. R. (2023). Innovative Cloud Computing Strategies for Automotive Supply Chain Data Security and Business Intelligence. International Journal of Information Technology and Computer Engineering, 11(4), 259-282
Kadiyala, B. (2019). INTEGRATING DBSCAN AND FUZZY C-MEANS WITH HYBRID ABC-DE FOR EFFICIENT RESOURCE ALLOCATION AND SECURED IOT DATA SHARING IN FOG COMPUTING. International Journal of HRM and Organizational Behavior, 7(4), 1-13
Alagarsundaram, P. (2020). Analyzing the covariance matrix approach for DDoS HTTP attack detection in cloud environments. International Journal of Information Technology and Computer Engineering, 8(1), 29-47
Poovendran, A. (2024). Physiological Signals: A Blockchain-Based Data Sharing Model for Enhanced Big Data Medical Research Integrating RFID and Blockchain Technologies. Journal of Current Science, 9(2), 9726-001X
Sitaraman, S. R., Alagarsundaram, P., & Kumar, V. (2024). AI-Driven Skin Lesion Detection with CNN and Score-CAM: Enhancing Explainability in IoMT Platforms. Indo-American Journal of Pharma and Bio Sciences, 22(4), 1-13. Figure 3 Comparative Analysis of AI Model Configurations for Robotic Cloud Security Purandhar. N, L Nisar Ahmed: Robotic Cloud Automation-Enabled Attack Detection and Command Verification Using Attention-Based RNNs, ConvLSTM, and Bayesian Networks
Gudivaka, B. R. (2022). Real-Time Big Data Processing and Accurate Production Analysis in Smart Job Shops Using LSTM/GRU and RPA. International Journal of Information Technology and Computer Engineering, 10(3), 63-79
Kadiyala, B., Alavilli, S. K., Nippatla, R. P., Boyapati, S., & Vasamsetty, C. (2023). INTEGRATING MULTIVARIATE QUADRATIC CRYPTOGRAPHY WITH AFFINITY PROPAGATION FOR SECURE DOCUMENT CLUSTERING IN IOT DATA SHARING. International Journal of Information Technology and Computer Engineering, 11(3), 163-178
Alagarsundaram, P. (2019). Implementing AES Encryption Algorithm to Enhance Data Security in Cloud Computing. International Journal of Information Technology and Computer Engineering, 7(2), 18-31
Gudivaka, B. R. (2024). Smart Comrade Robot for Elderly: Leveraging IBM Watson Health and Google Cloud AI for Advanced Health and Emergency Systems. International Journal of Engineering Research and Science & Technology, 20(3), 334-352
Alagarsundaram, P. (2023). AI-powered data processing for advanced case investigation technology. J Sci Technol, 8(8), 18-34
Surendar, R. S., Alagarsundaram, P., & Thanjaivadivel, M. (2024). AI-driven robotic automation and IoMT-based chronic kidney disease prediction utilizing attention-based LSTM and ANFIS. International Journal of Multidisciplinary Educational Research, 13(8[1])
Sitaraman, S. R., Alagarsundaram, P., Gattupalli, K., Gollavilli, V. S. B. H., Nagarajan, H., & Ajao, L. A. (2024). Advanced IoMT-enabled chronic kidney disease prediction leveraging robotic automation with autoencoder-LSTM and fuzzy cognitive maps. International Journal of Mechanical Engineering and Computer Applications, 12(3)
Alagarsundaram, P. (2023). A systematic literature review of the Elliptic Curve Cryptography (ECC) algorithm for encrypting data sharing in cloud computing. International Journal of Engineering and Science Research, 13(2)
Nagarajan, H., Gollavilli, V. S. B. H., Gattupalli, K., Alagarsundaram, P., & Sitaraman, S. R. (2023). Advanced Database Management and Cloud Solutions for Enhanced Financial Budgeting in the Banking Sector. International Journal of HRM and Organizational Behavior, 11(4), 74-96
Gattupalli, K., Gollavilli, V. S. B. H., Nagarajan, H., Alagarsundaram, P., & Sitaraman, S. R. (2023). Corporate synergy in healthcare CRM: Exploring cloud-based implementations and strategic market movements. International Journal of Engineering and Techniques, 9(4)
Alagarsundaram, P., Gattupalli, K., Gollavilli, V. S. B. H., Nagarajan, H., & Sitaraman, S. R. (2023). Integrating blockchain, AI, and machine learning for secure employee data management: Advanced control algorithms and sparse matrix techniques. International Journal of Computer Science Engineering Techniques, 7(1)
Chinnasamy, P., Ayyasamy, R. K., Alagarsundaram, P., Dhanasekaran, S., Kumar, B. S., & Kiran, A. (2024, April). Blockchain Enabled Privacy-Preserved Secure e-voting System for Smart Cities. In 2024 International Conference on Science Technology Engineering and Management (ICSTEM) (pp. 1-6). IEEE
Alagarsundaram, P., Sitaraman, S. R., & Gattupalli, K. (2024). Artificial Intelligencebased Healthcare Observation System. Pothi
Gudivaka, R. K., Gudivaka, R. L., Gudivaka, B. R., Basani, D. K. R., Grandhi, S. H., & khan, F. (2025). Diabetic foot ulcer classification assessment employing an improved machine learning algorithm. Technology and Health Care, 09287329241296417
Kadiyala, B., & Kaur, H. (2023). Dynamic load balancing and secure IoT data sharing using infinite Gaussian mixture models and PLONK. International Journal of Research in Engineering Technology, 7(2)
Shnain, A. H., Gattupalli, K., Nalini, C., Alagarsundaram, P., & Patil, R. (2024, July). Faster Recurrent Convolutional Neural Network with Edge Computing Based Malware Detection in Industrial Internet of Things. In 2024 International Conference on Data Science and Network Security (ICDSNS) (pp. 1-4). IEEE
Hussein, L., Kalshetty, J. N., Harish, V. S. B., Alagarsundaram, P., & Soni, M. (2024, August). Levy distribution-based Dung Beetle Optimization with Support Vector Machine Purandhar. N, L Nisar Ahmed: Robotic Cloud Automation-Enabled Attack Detection and Command Verification Using Attention-Based RNNs, ConvLSTM, and Bayesian Networks for Sentiment Analysis of Social Media. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-5). IEEE
Alagarsundaram, P., Ramamoorthy, S. K., Mazumder, D., Malathy, V., & Soni, M. (2024, August). A Short-Term Load Forecasting model using Restricted Boltzmann Machines and Bi-directional Gated Recurrent Unit. In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) (pp. 1-5). IEEE
Tamilarasan, B., Gollavilli, V. S. B. H., Alagarsundaram, P., & Muthu, B. (2024). Agile Practices for Software Development for Numerical Computing. In Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods (pp. 1-31). IGI Global
Alagarsundaram, P., Sitaraman, S. R., & Gattupalli, K. (2024). IoT and AI-based Notification on Cloud Technologies in Healthcare. Pothi
Gudivaka, B. R. (2024). Leveraging PCA, LASSO, and ESSANN for advanced robotic process automation and IoT systems. International Journal of Engineering & Science Research, 14(3), 718-731
Alagarsundaram, P., Sitaraman, S. R., Gattupalli, K., & Khan, F. (2024). Implementing transfer learning and domain adaptation in IoT analytics. In RADemics (Chapter 16)
Gudivaka, B. R. (2021). Designing AI-assisted music teaching with big data analysis. Journal of Current Science & Humanities, 9(4), 1–14
Basava, R. G. (2021). AI-powered smart comrade robot for elderly healthcare with integrated emergency rescue system. World Journal of Advanced Engineering Technology and Sciences, 2(1), 122-131
Gudivaka, B. R. (2019). BIG DATA-DRIVEN SILICON CONTENT PREDICTION IN HOT METAL USING HADOOP IN BLAST FURNACE SMELTING. International Journal of Information Technology and Computer Engineering, 7(2), 32-49
Basani, D. K. R., Gudivaka, B. R., Gudivaka, R. L., & Gudivaka, R. K. (2024). Enhanced Fault Diagnosis in IoT: Uniting Data Fusion with Deep Multi-Scale Fusion Neural Network. Internet of Things, 101361
Grandhi, S. H., Gudivaka, B. R., Gudivaka, R. L., Gudivaka, R. K., Basani, D. K. R., & Kamruzzaman, M. M. (2025). Detection and Diagnosis of ECH Signal Wearable System for Sportsperson using Improved Monkey-based Search Support Vector Machine. International Journal of High Speed Electronics and Systems, 2540149
Gudivaka, B. R., Almusawi, M., Priyanka, M. S., Dhanda, M. R., & Thanjaivadivel, M. (2024, May). An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection. In 2024 Second International Conference on Data Science and Information System (ICDSIS) (pp. 1-4). IEEE
Kumaresan, V., Gudivaka, B. R., Gudivaka, R. L., Al-Farouni, M., & Palanivel, R. (2024, July). Machine Learning Based Chi-Square Improved Binary Cuckoo Search Algorithm for Condition Monitoring System in IIoT. In 2024 International Conference on Data Science and Network Security (ICDSNS) (pp. 1-5). IEEE
Palanivel, R., Basani, D. K. R., Gudivaka, B. R., Fallah, M. H., & Hindumathy, N. (2024, August). Support Vector Machine with Tunicate Swarm Optimization Algorithm for Emotion Recognition in Human-Robot Interaction. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-4). IEEE
Mohammed, B. H., Abbas, Y. K., Gudivaka, B. R., & Grandhi, S. H. (2024). Validation and Verification of Numerical Models. In Coding Dimensions and the Power of Finite Element, Volume, and Difference Methods (pp. 248-273). IGI Global
Kadiyala, B. (2020). Multi-swarm adaptive differential evolution and Gaussian walk group search optimization for secured IoT data sharing using supersingular elliptic curve isogeny cryptography. International Journal of Modern Electronics and Communication Engineering, 8(3), 109–115
Nippatla, R. P., Alavilli, S. K., Kadiyala, B., Boyapati, S., & Vasamsetty, C. (2023). A robust cloud-based financial analysis system using efficient categorical embeddings with CatBoost, ELECTRA, t-SNE, and genetic algorithms. International Journal of Engineering & Science Research, 13(3), 166–184. Purandhar. N, L Nisar Ahmed: Robotic Cloud Automation-Enabled Attack Detection and Command Verification Using Attention-Based RNNs, ConvLSTM, and Bayesian Networks
Kadiyala, B., & Kaur, H. (2021). Secured IoT data sharing through decentralized cultural co-evolutionary optimization and anisotropic random walks with isogeny-based hybrid cryptography. Journal of Science & Technology, 6(6), 231–245
Alavilli, S. K., Kadiyala, B., Nippatla, R. P., Boyapati, S., & Vasamsetty, C. (2023). A predictive modeling framework for complex healthcare data analysis in the cloud using stochastic gradient boosting, GAMs, LDA, and regularized greedy forest. International Journal of Multidisciplinary Educational Research, 12(6), 22
Kadiyala, B., Alavilli, S. K., Nippatla, R. P., Boyapati, S., Vasamsetty, C., & Kaur, H. (2024, December). An IoMT-Based Surgical Monitoring System for Automated Image Synthesis and Segmentation Using Reinforcement Learning and DCGANs. In 2024 International Conference on Emerging Research in Computational Science (ICERCS) (pp. 1-6). IEEE
Prabhakaran, V., & Kulandasamy, A. (2021). Integration of recurrent convolutional neural network and optimal encryption scheme for intrusion detection with secure data storage in the cloud. Computational Intelligence, 37(1), 344-370
Wressnegger, C. (2020). Efficient machine learning for attack detection. it-Information Technology, 62(5-6), 279-286
Singh, P., & Ranga, V. (2021). Attack and intrusion detection in cloud computing using an ensemble learning approach. International Journal of Information Technology, 13(2), 565-
Ibrahim, O. J., & Bhaya, W. S. (2021, February). Intrusion detection system for cloud based software-defined networks. In Journal of Physics: Conference Series (Vol. 1804, No. 1, p. 012007). IOP Publishing
Published
How to Cite
Issue
Section
