IoT-Based Smart Flood Disaster Monitoring and Early Warning Alert System
Keywords:
Early Warning System, Flood Disaster Alert System, Data Analytics, Disaster Management, Track Water Levels, Flood Risk Reduction, Internet of ThingsAbstract
This paper proposes an intelligent solution for flood mitigation through continuous environmental monitoring and timely emergency alerts. Floods are among the most destructive natural disasters, causing severe damage to human life, infrastructure, agriculture, and public services. The impacts of climate change, rapid urbanisation, and unpredictable weather patterns have led to a significant increase in the number and severity of flooding events, making reliable early warning systems crucial for disaster preparedness. The project employs Internet of Things (IoT) technology, wireless sensor networks, and real-time data analytics to continuously monitor critical environmental parameters, including water level, rainfall intensity, soil moisture, temperature, and humidity. The accumulated sensor data is transmitted to a central cloud-based server for processing, where it is analysed using pre-defined threshold values or machine learning techniques to detect possible flood risks. Upon detection of hazardous conditions, the system automatically triggers instant alerts. It disseminates notifications via SMS, mobile applications, email services and public warning systems, enabling authorities and residents to take immediate preventive action. The platform also offers real-time visualisation of environmental conditions via an interactive monitoring dashboard, facilitating informed decision-making during emergencies. The proposed system automates the flood detection and notification processes to improve disaster preparedness, response time, public safety and economic losses. The architecture is scalable, reliable, and cost-effective, making it deployable in urban, rural, and flood-prone areas worldwide.
References
A. Marks, M. AL-Ali, and M. Majdalaweih, "A holistic conceptual measurement framework for assessing the effectiveness and viability of an academic program," International Journal of Educational and Pedagogical Sciences, vol. 12, no. 8, pp. 1024–1031, 2018.
G. C. Vegineni, “Sustainable tech development: Integrating AI, XR, and CI/CD pipelines for a greener future,” in Exploring the Impact of Extended Reality (XR) Technologies on Promoting Environmental Sustainability, S. K. Gupta, N. Maurya, D. N. Le, and T. Mzili, Eds., vol. 38. Cham, Switzerland: Springer, 2025.
M. M. Reddy Chinthala and M. Kalloji, “Policy-Oriented Zero Trust Microsegmentation for East-West Traffic Governance in Hybrid Cloud Architectures,” 2025 6th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, pp. 1330–1335, Sep. 24, 2025.
M. M. R. Chinthala, H. Apuri, and K. Bitra, “Behaviour-Aware Hybrid Deep Networks for Detecting Zero-Day and Ransomware Threats,” IJITEE, vol. 15, no. 5, pp. 1–10, Apr. 2026.
T. Ali et al., "Evaluating the performance of sustainable concrete made with different lengths of tyre waste steel fibers, silica fume, and rice husk ash," Journal of Natural Fibers, vol. 23, no. 1, Art. no. 2649250, 2026.
M. H. F. Rasheed, B. O. Taha, and M. M. Arbili, "A design-oriented unified equation for the torsion constant of non-prismatic (linearly tapered) rectangular beams," Buildings, vol. 15, no. 21, Art. no. 3926, 2025.
M. H. F. Rasheed, B. O. Taha, A. Z. S. Agha, M. M. Arbili, and P. I. Abdulrahman, "Shear capacity of fiber-reinforced polymer (FRP)-reinforced concrete (RC) beams without stirrups: Comparative modeling with FRP modulus, longitudinal ratio, and shear span-to-depth," Journal of Composites Science, vol. 9, no. 10, Art. no. 554, 2025.
B. Y. Mustafa, M. D. Faisal, D. W. Roeland, A. R. Ahmed, and M. M. Arbili, "Flash flood hazard mapping using analytical hierarchy process (AHP) and GIS application: In the Barzan area of Iraqi Kurdistan Region," Zanco Journal of Pure and Applied Sciences, vol. 37, no. 1, pp. 108-125, 2025.
Wirya Abdulrazaq and M. M. Arbili, "Comparison between circular sewer pipe and non-circular sewer cross sections," in IOP Conference Series: Earth and Environmental Science, vol. 1374, no. 1. IOP Publishing, Aug. 2024, Art. no. 012056.
H. Apuri and C. Yepuri, “Design of multi-agent autonomous workflow systems using agentic AI frameworks,” in Proc. IEEE Int. Conf. Advances in Urban Computing (ICAUC), 2026.
H. Apuri, M. Aurangabadkar, S. Goel, M. M. R. Chinthala, and C. Yepuri, “Advancing infrastructure-as-code resilience through generative AI agents for predictive remediation and autonomous security enforcement,” Int. J. Engineering and Advanced Technology (IJEAT), vol. 15, no. 4, Mar. 2026.
H. Apuri et al., “Self-healing infrastructure: Autonomous LLM agents for real-time remediation of configuration drift and security misconfigurations in IaC deployments,” Int. J. Innovative Technology and Exploring Engineering (IJITEE), vol. 15, no. 4, Mar. 2026.
H. Pandian, “AI-based capacity forecasting models for elastic cloud and hybrid enterprise systems,” Journal of Information Systems Engineering and Management, vol. 10, no. 63s, pp. 1648–1658, Dec. 2025.
H. Pandian, “AI-driven predictive performance bottleneck detection in mission-critical financial systems,” Journal of Computational Analysis and Applications, vol. 30, no. 2, pp. 1019–1033, Mar. 2022.
H. Pandian, “Architectural optimization techniques for high-volume batch processing in Hadoop ecosystems,” International Journal of Intelligent Systems and Applications in Engineering, vol. 8, no. 4, pp. 428–439, Dec. 2020.
H. Pandian, “Embedding performance engineering into CI/CD pipelines for regulated financial systems,” Journal of Computational Analysis and Applications, vol. 33, no. 8, pp. 7892–7910, Dec. 2024.
H. Pandian, “Performance engineering as a first-class cybersecurity control,” in Proc. International Conference on Cyber Security, IoT, Data & Information Technology, vol. 459, pp. 1–12, Jun. 2024.
G. V. Vasudeva, B. Gururaj, P. Y. Mallikarjun, N. M. Lutimath, and T. R. Kulkarni, “CMOS comparator design using 90 nm technology,” [Journal Name], vol. 6, pp. 291–297, 2024.
G. Vasudeva, P. Y. Mallikarjun, M. Jatkar, T. R. Kulkarni, R. R. Kulkarni, B. Gururaj, and M. P. Tejas, “Design of OPAMP based on 22 nm FinFET technology,” in Proc. Fifth Int. Conf. Trends in Computational and Cognitive Engineering, Springer, 2025, pp. 371–382.
G. Vasudeva, P. Y. Mallikarjun, S. Mahadev, T. R. Kulkarni, B. Gururaj, M. H. K. M., and J. Abhishek, “Design and development of UART communication over RSA encryption,” in Proc. 2025 Int. Conf. Electrical and Computer Engineering Researches (ICECER), 2025, pp. 1–6.
G. Vasudeva, P. Y. Mallikarjun, T. R. Kulkarni, M. Bhuvan, K. C. Gowthami, and N. Nidhi, “Design and optimisation of 3-bit flash ADC with low power double tail comparator,” in Engineering Science and Technology: Innovations for the Future, 1st ed., CRC Press, 2025.
J. D. Lakshmi and P. Y. Mallikarjun, “Design of virtual-real software-defined network for cloud,” in Intelligent Computing and Networking, Springer, 2023, pp. 367–376.
M. Jatkar and P. Y. Mallikarjun, “Optimized Cu/Fe doped boron nitride nanoribbons as nanoscale interconnect: DFT investigation,” Materials Science in Semiconductor Processing, vol. 186, 2025, Art. no. 109050.
P. Y. Mallikarjun and A. Takele, “Parallel transmission strategy for channel sensing mechanism in cognitive radio networks,” Authorea, 2023.
P. Y. Mallikarjun and Y. S. Kumarswamy, “Analysis of power transfer modeling for three-dimensional silicon chips using ThSV technologies,” in Proc. 2018 IEEE Int. Conf. System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2018, pp. 1–4.
P. Y. Mallikarjun and Y. S. Kumarswamy, “ThSV-based three-dimensional device to optimize low energy and reliable timer using MNM technique,” in Proc. 2018 3rd IEEE Int. Conf. Recent Trends in Electronics, Information & Communication Technology (RTEICT), Bangalore, India, 2018, pp. 2072–2077.
P. Y. Mallikarjun, D. N. Rame Gowda, J. K. Trisha, M. Varshini, P. S. Shetty et al., “Atomistic insights into aluminium–boron nitride nanolayered interconnects for high-performance VLSI systems,” Computers, Materials & Continua, vol. 86, no. 3, 2026.
P. Y. Mallikarjun, K. H. Dekate, G. N. Rama Devi, A. K. Koshariya, R. Sagar, and Nikhilesh, “Factors influencing economic growth of online food ordering and delivery applications during COVID-19,” in Proc. Int. Virtual Conf. Newer Trends and Innovation in Nanotechnology Materials Science and Technology, vol. 12, no. 1, 2021, pp. 242–249.
P. Jothilingam, “Towards autonomous commissioning: Integrating digital twins, artificial intelligence and smart sensors for next-generation process control systems,” Certified Journal of International Research (CJIR), vol. 5, no. 1, pp. 1-8, Mar. 2025.
P. Jothilingam, “Edge computing for industrial automation and control: Enabling real-time processing, scalable architectures and secure operations,” Certified Journal of International Research (CJIR), vol. 5, no. 1, pp. 1–8, Mar. 2025.
P. Jothilingam, “Advancing cybersecurity in industrial control systems: Frameworks, threat modeling, and resilience strategies,” International Journal of Supportive Research (IJSR), vol. 2, no. 2, pp. 69–75, Jul. 2024.
P. Jothilingam, “Cybersecurity in water and wastewater systems: Protecting critical infrastructure from emerging threats and ensuring operational resilience,” in Proc. International Conference on Recent Advances in Science, Engineering, Technology and Management, India, Mar. 2024, pp. 550–558.
I. Ganie and S. Jagannathan, “Lifelong learning-based multilayer neural network control of nonlinear continuous-time strict-feedback systems,” Int. J. Robust Nonlinear Control, vol. 34, no. 2, pp. 1397–1416, 2023.
I. Ganie and S. Jagannathan, “Lifelong learning-based optimal trajectory tracking of constrained nonlinear affine systems using deep neural networks,” IEEE Trans. Cybern., pp. 1–14, 2024.
I. Ganie and S. Jagannathan, “Lifelong reinforcement learning tracking control of nonlinear strict-feedback systems using multilayer neural networks with constraints,” Neurocomputing, vol. 600, pp. 128–139, 2024.
I. Ganie and S. Jagannathan, “Online Continual Reinforcement Learning-Based Optimal Output Tracking Control of Nonlinear Systems Using a Multilayer Observer,” Proc. 2025 Int. Joint Conf. Neural Netw. (IJCNN), Rome, Italy, 2025, pp. 1–6.
H. Pandian, “Performance-driven development (PDD): A new software engineering paradigm,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 9, no. 12, pp. 278–286, Dec. 2021.
H. Pandian, “Quantifying business risk and financial loss from performance failures in enterprise systems,” in Proc. International Conference on Computer Science, Engineering and Applications, vol. 978, pp. 160–170, Jul. 2021.
H. Pandian, “Self-healing performance architectures for large-scale banking and payment platforms,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 11s, pp. 1019–1029, Dec. 2023.
H. Pandian, “Unified observability framework for enterprise performance, capacity, and reliability,” Journal of Electrical Systems, vol. 14, no. 4, pp. 96–106, Apr. 2018.
H. Pandian, “Workload characterization models for distributed enterprise systems,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 7, no. 12, 2019.
Qsymah et al., "Thermal properties, microstructure analysis, and environmental benefits of basalt fiber reinforced concrete," Journal of Engineered Fibers and Fabrics, vol. 18, Art. no. 15589250221146547, 2023.
J. Ahmad, M. M. Arbili, A. F. Deifalla, A. Salmi, A. M. Maglad, and F. Althoey, "Sustainable concrete with partial substitution of paper pulp ash: A review," Science and Engineering of Composite Materials, vol. 30, no. 1, 2023.
M. A. Awad, M. M. Khalaf, and M. M. Arbili, "Experimental measurement of undrained shear strength of fine grained soil-crude oil mixtures using different techniques," Journal of Engineering Science and Technology, vol. 17, no. 5, pp. 3128-3148, 2022.
F. K. Ghaffoori, M. M. Arbili, H. Çanakcı, and T. K. Ibrahim, "Triaxial compression behavior of sandy soil polluted with crude oil," in Geotechnical Engineering and Sustainable Construction: Sustainable Geotechnical Engineering. Singapore: Springer Singapore, 2022, pp. 29-39.
M. M. Arbili, M. Karpuzcu, and F. Khalil, "Effect of slag on engineering properties of contaminated soil," in Key Engineering Materials, vol. 857. Trans Tech Publications Ltd., 2020, pp. 253-258.
G. C. Vegineni, “Intelligent UI designs for state government applications: Fostering inclusion without AI and ML,” J. Adv. Develop. Res., vol. 13, no. 1, pp. 1–13, 2022.
G. C. Vegineni, “Real-time performance optimization in modern UI applications,” in Proc. 3rd Int. Conf. Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2025, pp. 528–533.
G. C. Vegineni and V. R. Anumolu, “Sustainable supply chain practices: A teaching framework with data science,” in Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET), A. S. Azar, S. K. Gupta, H. Taherdoost, and F. Alhamaty, Eds. USA: IGI Global Scientific Publishing, 2025, pp. 245–262.
G. C. Vegineni, “Exploring anomalies in dark web activities for automated threat identification,” FMDB Trans. Sustainable Comput. Syst., vol. 2, no. 4, pp. 189–200, 2024.
A. Marks, M. AL-Ali, and M. Majdalaweih, "Projectification: Using project management methodology to manage the academic program review," presented at the International Conference on Education and Teaching Innovation (ICETI 2018), New York, NY, USA, Aug. 2018.
A. Marks, M. AL-Ali, and M. Majdalaweih, "A holistic conceptual measurement framework for assessing the effectiveness and viability of an academic program," presented at the International Conference on Education and Teaching Innovation (ICETI 2018), New York, NY, USA, Aug. 2018.
A. Marks, M. AL-Ali, and M. Majdalaweih, "Project management as a tool to manage the academic program review," presented at the 20th International Conference on Engineering and Technology Innovation, Dubai, UAE, Jan. 2018.
A. Marks, M. AL-Ali, R. Attasi, A. Abuelkishik, and Y. Rezgui, "Digital transformation in higher education: Maturity and challenges post COVID-19," in Information Technology and Systems, Á. Rocha, H. Adeli, G. Dzemyda, and F. Moreira, Eds., Lecture Notes in Networks and Systems, vol. 211. Cham, Switzerland: Springer, 2021, pp. 60–70.
A. Marks and A. Fahim, "Why customers are reluctant to buy from your website?" in Proc. 4th Int. Conf. New Trends in Information Science and Service Science (NISS), May 2010, pp. 342–347.
A. Marks, M. Majdalaweih, M. AL-Ali, and A. Bani-Hani, "Learning management systems: Improving academic decision-making through course evaluation technology," International Journal of Emerging Technologies in Learning, vol. 12, no. 5, pp. 4–18, 2017.
A. Marks and Y. Rezgui, "Security awareness in virtual communities: The case of non-collocated academic research collaborations," in Collaborative Networks for a Sustainable World, L. M. Camarinha-Matos, X. Boucher, and H. Afsarmanesh, Eds., IFIP Advances in Information and Communication Technology, vol. 336. Berlin, Germany: Springer, 2010, pp. 471–478.
A. Marks and Y. Rezgui, "Chief information officer profile in higher education," in Proc. 12th International Conference on Enterprise Information Systems (ICEIS 2010), Jun. 2010, pp. 215–221.
A. Marks and Y. Rezgui, "Sustainable construction ontology development using information retrieval techniques," presented at the American Society of Civil Engineers (ASCE) International Workshop on Computing in Civil Engineering, Miami, FL, USA, Jun. 2011.
A. Marks, K. Rietsema, and M. AL-Ali, "Landside management information systems," Intelligent Information Systems, vol. 7, no. 3, pp. 45–56, 2015.
A. Marks, K. Rietsema, and M. AL-Ali, "Learning management systems: A shift toward learning and academic analytics," International Journal of Emerging Technologies in Learning, vol. 11, no. 4, pp. 77–82, 2016.
A. Marks, K. Rietsema, and M. AL-Ali, "Learning management systems," presented at the NACADA International Conference, Dubai, UAE, Feb. 2016.
A. Marks, K. Rietsema, and A. Hudson, "Airport information systems—Airside management information systems," in Proc. 20th Annual International Conference on Industry, Engineering, and Management Systems (IEMS), Mar. 2014, pp. 112–120.
A. Marks, I. Wilson, and H. Alhajri, "Systems development methodologies in Oman," in Proc. International Conference on Business and Information (BAI 2012), Sapporo, Japan, Jul. 2012.
J. R. Rogers, Y. Wang, N. F. Khan, K. Mott, V. K. Nomula, D. Wang, P. C. Fiduccia, M. Burcu, and X. Liu, “Landscape assessment of clone-censor-weight methodology application in real-world data studies: A scoping review,” in Proceedings of the Pharmacoepidemiology and Drug Safety Conference, vol. 33, pp. 424–424, Nov. 1, 2024.
P. Prabadevi, M. Yogalakshmi, and N. Nithya, "Work from Home Situation and Work Life Balance of IT Employees During COVID-19 Pandemic Period – A Case Study Approach," Journal of Huazhong University of Science and Technology, vol. 50, no. 3, pp. 1-10, 2021.
R. Balaji, G. Gayathri, V. Rohini, P. P. Devi, S. Arul Krishnan, and K. Prakash, "Evaluating the efficacy of AI-enhanced CRM tools in enhancing user experience in Indian online shopping," International Journal of Environmental Sciences, vol. 11, no. 5, 2025.
R. R. Chandan, S. Ramaraj, P. P. Devi, S. J. Sultanuddin, and E. Indhuma, "A Novel Machine Learning-Based Early Warning Detection System for Business Customer Churn," in 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), 2024, pp. 250-254, IEEE, Apr. 9, 2024.
R. Sellappan, P. P. Devi, and C. R. Prabakar, "Service quality in retailing, banking and insurance: A comparative study," Global Management Review, vol. 7, no. 4, Aug. 1, 2013.
T. Subashini and P. P. Devi, "Navigating the balance: Unveiling the factors influencing work-life harmony among teaching professionals," Indian Journal of Natural Sciences, vol. 16, no. 91, pp. 99157–99166, Aug. 2025.
S. G. K. Peddireddy, “Advancing Threat Detection in Cybersecurity through Deep Learning Algorithms,” FMDB Transactions on Sustainable Intelligent Networks., vol.1, no. 4, pp. 190–200, 2024.
S. G. K. Peddireddy, “Integrating AI for Proactive Network Defense against Emerging Security Vulnerabilities,” FMDB Transactions on Sustainable Computer Letters., vol. 2, no. 4, pp. 232–241, 2024.
S. G. K. Peddireddy, “Optimizing Resource Allocation in Multi-Cloud Environments for Cost Efficiency and Scalability,” FMDB Transactions on Sustainable Computing Systems., vol. 2, no. 4, pp. 167–177, 2024.
V. S. A. Anala, A. R. Pothu, and S. Chintapalli, “Enhancing Preventive Healthcare with Wearable Health Technology for Early Intervention,” FMDB Transactions on Sustainable Health Science Letters., vol.2, no.4, pp. 211–220, 2024.
V. S. A. Anala and S. Chintapalli, “Scalable Data Partitioning Strategies for Efficient Query Optimization in Cloud Data Warehouses,” FMDB Transactions on Sustainable Computer Letters., vol. 2, no. 4, pp. 195–206, 2024.
V. Rajavel, "Integrating power-saving techniques into design for testability of semiconductors for power-efficient testing," The American Journal of Engineering and Technology, vol. 7, no. 3, pp. 243–251, 2025.
V. Rajavel, "Novel machine learning approach for defect detection in DFT processes," ASRJETS-Journal, vol. 101, no. 1, pp. 325–334, Apr. 2025. [Online].
V. Rajavel, "Optimizing semiconductor testing: Leveraging stuck-at fault models for efficient fault coverage," Int. J. Latest Eng. Manag. Res. (IJLEMR), vol. 10, no. 2, pp. 69–76, Feb. 2025.
Md S. Miah and Md S. Islam, "Big Data Analytics Architectural Data Cut off Tactics for Cyber Security and Its Implication in Digital forensic," in Proc. 2022 Int. Conf. Futuristic Technol. (INCOFT), Belgaum, India, 2022, pp. 1–6.
M. A. Obaida, Md S. Miah, and Md. A. Horaira, “Random Early Discard (RED-AQM) Performance Analysis in Terms of TCP Variants and Network Parameters: Instability in High-Bandwidth-Delay Network,” Int. J. Comput. Appl., vol. 27, no. 8, pp. 40–44, Aug. 2011.
A. Ahmad, P. Potluri, A. R. Yeruva, P. Satyasriram, S. Harizan, R. Kumar, and D. M. Alsekait, "Energy Efficient Intrusion Detection in a heterogeneous environment of Wireless sensor networks," International Journal of Intellectual Property Management, vol. 20, no. 13, pp. 13–1493, 2022.
A. R. Yeruva and V. Basavegowda Ramu, "AIOps Observability and Performance Impact of AI and ML Applications for Central Nervous System Drug Discoveries," in EAI/Springer Innovations in Communication and Computing, Springer, Cham, Switzerland, pp. 239–252, 2023.
A. R. Yeruva and V. Basavegowda Ramu, "AIOps research innovations, performance impact and challenges faced," International Journal of System of Systems Engineering, vol. 13, no. 3, pp. 229–247, 2023.
D. Kodi and S. Chundru, “Unlocking new possibilities: How advanced API integration enhances green innovation and equity,” in Advances in Environmental Engineering and Green Technologies, IGI Global, 2025, pp. 437–460.
S. Panyaram, "Digital Twins & IoT: A New Era for Predictive Maintenance in Manufacturing," International Journal of Innovations in Electronic & Electrical Engineering, vol. 10, no. 1, pp. 1-9, 2024.
S. Panyaram, "Automation and Robotics: Key Trends in Smart Warehouse Ecosystems," International Numeric Journal of Machine Learning and Robots, vol. 8, no. 8, pp. 1-13, 2024.
S. Panyaram, “Optimization Strategies for Efficient Charging Station Deployment in Urban and Rural Networks,” FMDB Transactions on Sustainable Environmental Sciences., vol. 1, no. 2, pp. 69–80, 2024.
S. Panyaram, “Integrating Artificial Intelligence with Big Data for Real-Time Insights and Decision-Making in Complex Systems,” FMDB Transactions on Sustainable Intelligent Networks., vol.1, no.2, pp. 85–95, 2024.
S. Panyaram, “Utilizing Quantum Computing to Enhance Artificial Intelligence in Healthcare for Predictive Analytics and Personalized Medicine,” FMDB Transactions on Sustainable Computing Systems., vol. 2, no. 1, pp. 22–31, 2024.
S. Panyaram, "Digital Transformation of EV Battery Cell Manufacturing Leveraging AI for Supply Chain and Logistics Optimization," International Journal of Innovations in Scientific Engineering, vol. 18, no. 1, pp. 78-87, 2023.
S. Panyaram, "Connected Cars, Connected Customers: The Role of AI and ML in Automotive Engagement," International Transactions in Artificial Intelligence, vol. 7, no. 7, pp. 1-15, 2023.
L. N. R. Mudunuri and V. Attaluri, “Urban development challenges and the role of cloud AI-powered blue-green solutions,” in Advances in Public Policy and Administration, IGI Global, USA, pp. 507–522, 2024.
V. Attaluri, "Secure and Scalable Machine-to-Machine Secrets Management Solutions," Int. J. Mach. Learn. Artif. Intell., vol. 5, no. 5, pp. 1–13, Jul. 2024.
V. Attaluri, "Dynamic User Permission Locking Based on Database Role Changes," Int. J. Adv. Eng. Res., vol. 27, no. 1, pp. 1–9, 2024.
V. Attaluri, "Real-Time Monitoring and Auditing of Role Changes in Databases," Int. Numer. J. Mach. Learn. Robots, vol. 7, no. 7, pp. 1–13, Nov. 2023.
V. Attaluri, "Securing SSH Access to EC2 Instances with Privileged Access Management (PAM)," Multidiscip. Int. J., vol. 8, no. 1, pp. 252–260, Dec. 2022.
D. Kodi and B. C. C. Marella, "Fraud Resilience: Innovating Enterprise Models for Risk Mitigation," J. Inf. Syst. Eng. Manag., vol. 10, no. 12S, pp. 683–695, Jan. 2025.
B. C. C. Marella and D. Kodi, “Generative AI for fraud prevention: A new frontier in productivity and green innovation,” in Advances in Environmental Engineering and Green Technologies, IGI Global, 2025, pp. 185–200.
