A Mobile Net-Driven Deep Learning Framework for Accurate Dog Breed Classification
Keywords:
Honeypots, Cybersecurity, Malicious Activities, Automated Logging, Minimise Risks, Visualisation Techniques, Threat Detection PlatformAbstract
Honeypots are strong cybersecurity tools that are meant to draw in and study bad behaviour in a safe and regulated setting. This study shows how to set up a low-risk honeypot system using Kali Linux, Oracle VirtualBox, and Python to watch for, record, and analyse possible cyberattacks. The system combines scripted interactions and automatic logging to mimic weak services. This lets it gather extensive information on unauthorised login attempts, port scanning, and attacks that leverage exploits. When you run everything in a virtualised environment, it makes sure that everything is well-isolated, keeps things from being accidentally exposed, and lets you keep an eye on things in real time without hurting the host environment. After data is collected, Python-based methods for analysing and visualising it are used to find patterns in attacks, trends in behaviour, and possible new threats. The results show that lightweight, scripting-based honeypots are a good way to raise security awareness and find threats early on because they are cheap, easy to maintain, and effective. This method shows that even simple honeypots can greatly improve defensive capabilities by giving information about how attackers act and making the entire cybersecurity posture stronger.
References
A. Varshney, A. Katiyar, A. K. Singh, and S. S. Chauhan, “Dog breed classification using deep learning,” in 2021 International Conference on Intelligent Technologies (CONIT), Karnataka, India, 2021.
B. Valarmathi, N. S. Gupta, G. Prakash, R. H. Reddy, S. Saravanan, and P. Shanmugasundaram, “Hybrid Deep Learning Algorithms for Dog Breed Identification-A Comparative Analysis,” IEEE Access, vol. 11, no. 1, pp. 77228–77239, 2023.
C. Wang, J. Wang, Q. Du, and X. Yang, “Dog breed classification based on deep learning,” in 2020 13th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2020.
J. Du, “Understanding of object detection based on CNN family and YOLO,” J. Phys. Conf. Ser., vol. 1004, no. 2018, p. 012029, 2018.
D. Jadhav and J. Singh, “A review on web information extraction and hidden predictive information from large databases,” Multimedia Tools and Applications, May 2025.
D. Jadhav and J. Singh, “Web information extraction and fake news detection in twitter using optimized hybrid bi-gated deep learning network,” Multimedia Tools and Applications, May 2024.
E. al. Jaibir Singh, “Enhancing Cloud Data Privacy with a Scalable Hybrid Approach: HE-DP-SMC,” Journal of Electrical Systems, vol. 19, no. 4, pp. 350–375, Jan. 2024.
G. Sadineni, J. . Singh, S. . Rani, G. S. . Rao, M. J. . Pasha, and A. . Lavanya, “Blockchain-Enhanced Vehicular Ad-hoc Networks (B-VANETs): Decentralized Traffic Coordination and Anonymized Communication”, Int J Intell Syst Appl Eng, vol. 12, no. 1s, pp. 443–456, Sep. 2023.
J. Singh, S. Rani, and G. Srilakshmi, “Towards Explainable AI: Interpretable Models for Complex Decision-making,” 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), pp. 1–5, Apr. 2024.
J. Singh, S. Rani, and P. Kumar, “Blockchain and Smart Contracts: Evolution, Challenges, and Future Directions,” 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), pp. 1–5, Apr. 2024.
J. Singh, S. Rani, and S. Devi, “Comment on ‘Prediction of Metabolic Dysfunction–Associated Steatotic Liver Disease via Advanced Machine Learning Among Chinese Han Population,’” Obesity Surgery, Sep. 2025.
I. Ganie and S. Jagannathan, “Lifelong deep learning–based control of robot manipulators,” Int. J. Adapt. Control Signal Process., vol. 37, no. 12, pp. 3169–3192, 2023.
I. Ganie and S. Jagannathan, “Lifelong learning control of nonlinear systems with constraints using multilayer neural networks with application to mobile robot tracking,” Proc. 2023 IEEE Conf. Control Technol. Appl. (CCTA), Bridgetown, Barbados, 2023, pp. 727–732.
H. R. Laskar, “Adoption of fintech and digital financial services (DFS) by young professionals,” Int. J. Adv. Res. Eng. Technol., vol. 11, no. 1, pp. 537–561, 2020.
H. R. Laskar, “Factors influencing saving and investment behavior of government and private sector employees,” Indian Journal of Economics and Business, vol. 20, no. 1, pp. 1168–1192, 2021.
S. Roushon and H. R. Laskar, “Influence of Neural Behaviour on Decision Making,” IOSR Journal of Humanities and Social Science, vol. 29, no. 5, ser. 13, pp. 35–42, May 2024.
Z. Alam and H. R. Laskar, “The Influence of Neural Behavior on Individuals’ Financial Decisions,” Journal of Economics, Finance and Management Studies, vol. 7, no. 6, pp. 3298–3306, Jun. 2024.
A. Dhanai, H. S. Bagde, R. Gera, K. Mukherjee, C. Ghildiyal, and H. Yadav, “Case report on irritational fibroma,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S960–S962, Feb. 2024.
H. Bagde, A. Dhopte, F. Bukhary, N. Momenah, F. Akhter, O. Mahmoud, K. P. Shetty, M. A. Shayeb, H. Abutayyem, and M. K. Alam, “Monkeypox and oral lesions associated with its occurrence: a systematic review and meta-analysis,” F1000Research, vol. 12, p. 964, Mar. 2024.
H. Bagde, R. S. Karki, S. Husain, S. Khan, V. Haripriya, and P. Purwar, “Evaluation of microbiological flora in endo-perio lesions before and after treatment,” Journal of Pharmacy and Bioallied Sciences, vol. 17, suppl. 2, pp. S1707–S1709, Jun. 2025.
B. Shyamsukha, H. Bagde, A. Sharan, M. Choudhary, A. Duble, and A. V. Dhan, “Evaluating the potential of ChatGPT as a supplementary intelligent virtual assistant in periodontology,” Journal of Pharmacy and Bioallied Sciences, vol. 17, suppl. 2, pp. S1415–S1417, Jun. 2025.
H. S. Bagde, M. K. Alam, A. K. A. Alhamwan, H. M. H. Aljubab, F. F. A. Alrashedi, D. H. M. Aljameeli, and M. G. Sghaireen, “The effect of a low-carbohydrate diet on periodontal health and inflammation in patients with type 2 diabetes,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S641–S643, Feb. 2024.
H. S. Bagde, M. K. Alam, Y. E. M. Almohammed, S. M. M. Almaqawid, A. W. N. Alanazi, F. T. F. Alanazi, and M. G. Sghaireen, “The efficacy of platelet-rich plasma as an adjunct to bone grafting in alveolar ridge preservation following tooth extraction,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S564–S566, Feb. 2024.
S. B. Mangalekar, H. S. Bagde, M. Sale, S. V. Jambhekar, C. Patil, and C. V. Deshmukh, “Comparing laser-assisted and conventional excision in the management of oral soft lesions: a prospective clinical study,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S859–S861, Feb. 2024.
M. K. Alam, H. S. Bagde, A. K. A. Alhamwan, H. M. H. Aljubab, F. F. A. Alrashedi, D. H. M. Aljameeli, and M. G. Sghaireen, “Comparing the long-term success rates of immediate implant placement vs delayed implant placement in patients with periodontally compromised teeth,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S626–S628, Feb. 2024.
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.
I. A. Mohammed, "Artificial Intelligence in Supplier Selection and Performance Monitoring: A Framework for Supply Chain Managers," Educational Administration: Theory and Practice, vol. 29, no. 3, pp. 1186–1198, 2023.
I. A. Mohammed, "The Role of Artificial Intelligence in Enhancing Business Efficiency and Supply Chain Management," Journal of Information Systems Engineering and Management, vol. 10, no. 10s, pp. 509–518, Feb. 2025.
I. A. Mohammed, "AI-Powered Risk Management Frameworks for Ensuring Supplier Quality in Carbon Capture and Energy Storage Supply Chains," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 1, pp. 854–, Dec. 2023.
I. A. Mohammed, "Optimizing Carbon Capture Supply Chains with AI-Driven Supplier Quality Management and Predictive Analytics," Journal of Next-Generation Research 5.0, Dec. 2024.
I. A. Mohammed, "Machine Learning-Driven Predictive Models for Enhancing Supplier Reliability in Renewable Energy Storage Supply Chains," International Journal of Intelligent Systems and Applications in Engineering, pp. 767–770, 2022.
N. Gupta, M. Adawadkar, I. A. Mohammed, S. Verma, and M. Dubey, "Predictive Insights: Leveraging Artificial Intelligence for Strategic Business Decision-Making," Advances in Consumer Research, vol. 2, pp. 98–105, 2025.
K. Chitra, S. S. Priscila, E. S. Soji, R. Rajpriya, B. Gayathri, and A. Chitra, “Transforming electrical simulation and management with smart grid technologies,” International Journal of Engineering Systems Modelling and Simulation, vol. 16, no. 4, pp. 241–253, 2025.
M. V. Soosaimariyan, H. L. Allasi, K. Chitra, and J. B. Gnanadurai, “Enhanced EMG-based hand gesture recognition by using generalized deep infomax networks,” Journal of Sensors, vol. 2025, no. 1, p. 9496890, 2025.
K. Lakshmi and K. Chitra, “Stress Net: Multimodal stress detection using ECG and EEG signals,” Journal of Data Science, vol. 2024, no. 59, pp. 1–8, 2024.
S. Rishabh, K. Chitra, and C. S. Yap, “A study on non-fungible tokens marketplace for secure management,” INTI Journal, vol. 2024, no. 18, pp. 1–8, 2024.
S. Shreyash, S. Gaur, K. Chitra, and M. Y. N. Zuhaili, “EasyLearnify – A student study portal,” INTI Journal, vol. 2024, no. 17, pp. 1–6, 2024.
S. K. R. Padur, “Intelligent Resource Management: AI Methods for Predictive Workload Forecasting in Cloud Data Centers,” J. Artif. Intell. Mach. Learn. & Data Sci., vol. 1, no. 1, pp. 2936–2941, 2022.
S. K. R. Padur, “Online Patching and Beyond: A Practical Blueprint for Oracle EBS R12.2 Upgrades,” Int. J. Sci. Res. Sci. Eng. Technol., vol. 2, no. 3, pp. 75–87, 2016.
S. K. R. Padur, “Engineering Resilient Datacenter Migrations: Automation, Governance, and Hybrid Cloud Strategies,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 2, no. 1, pp. 340–348, 2017.
S. K. R. Padur, “From Centralized Control to Democratized Insights: Migrating Enterprise Reporting from IBM Cognos to Microsoft Power BI,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 6, no. 1, pp. 218–225, 2020.
S. K. Somayajula, "Enterprise Data Migration Success Patterns: Lessons from Large-Scale Transformations," International Journal of Research in Computer Applications and Information Technology (IJRCAIT), vol. 8, no. 1, pp. 757-776, Jan.-Feb. 2025.
S. K. Somayajula, "Demystifying Modern Data Warehousing: From Traditional to Cloud-Native Solutions," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025.
S. K. Somayajula, "Building a Career in Enterprise Data Architecture: A Practical Guide," International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), vol. 7, no. 1, Jan. 2025.
S. K. Somayajula, "Advanced ETL Optimization: A Framework for Next-Generation Data Integration," International Journal of Computer Engineering and Technology (IJCET), vol. 16, no. 1, pp. 381-406, Jan.-Feb. 2025.
S. Somayajula and A. Orlovsky, "Proof, Truth and Contradiction in the System and Meta-System: Comprehensive Mathematical Solutions and Implementation Framework," 2025.
H. S. Bagde, M. K. Alam, Y. E. M. Almohammed, S. M. M. Almaqawid, K. K. Ganji, and M. G. Sghaireen, “Comparing the clinical and radiographic outcomes of two different surgical approaches for treating infrabony defects in chronic periodontitis patients,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 1, pp. S567–S569, Feb. 2024.
A. Sharan, B. Pawar, H. Bagde, T. K. Chawla, A. V. Dhan, B. Shyamsukha, and S. Sharma, “Comparative evaluation of dentin hypersensitivity reduction over one month after a single topical application of three different materials: a prospective experimental study,” Journal of Pharmacy and Bioallied Sciences, vol. 16, suppl. 4, pp. S3405–S3407, Dec. 2024.
J. Prakash, T. Sinha, H. Bagde, N. Rajegowda, S. Bhat, A. Dhopte, M. Cicciù, and G. Minervini, “Evidence-based assessment of temporomandibular disorders in complete denture versus partial denture users: a systematic review,” Minerva Dental and Oral Science, Sep. 2025.
S. Laskar, H. R. Laskar, and M. N. I. Barbhuyan, “Perception of Women Entrepreneurs Regarding Social Media Marketing,” Bangladesh Journal of Multidisciplinary Scientific Research, vol. 9, no. 5, pp. 10–18, Nov. 2024.
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.
J. Singh, S. Rani, and V. Kumar, “Role-Based Access Control (RBAC) Enabled Secure and Efficient Data Processing Framework for IoT Networks,” International Journal of Communication Networks and Information Security (IJCNIS), Aug. 2024.
J. Singh, S. Rani, S. Devi, and J. Kaur, “A Systematic Study on Recommendation System for E-Commerce Applications,” 2025 Seventh International Conference on Computational Intelligence and Communication Technologies (CCICT), pp. 221–226, Apr. 2025.
K. V. Deshpande and J. Singh, “A Systematic Review on Website Phishing Attack Detection for Online Users,” International Journal of Image and Graphics, Jan. 2025.
P. Nutalapati, "Automated Incident Response Using AI in Cloud Security," Journal of Artificial Intelligence, Machine Learning and Data Science, vol. 2, no. 1, pp. 1301–1311, 2024
P. Nutalapati, "Data Leakage Prevention Strategies in Cloud Computing," European Journal of Advances in Engineering and Technology, vol. 8, no. 9, pp. 118–123, 2025.
P. Nutalapati, "Security Considerations for Hybrid Cloud Deployments in Fintech Using Blockchain," Journal of Artificial Intelligence, Machine Learning and Data Science, vol. 1, no. 1, URF Publishers, 2025.
P. Nutalapati, "Zero Trust Architecture in Cloud-Based Fintech Applications," Journal of Artificial Intelligence & Cloud Computing, vol. 2, no. 1, pp. 1–8, 2023.
S. Arul Krishnan, V. P. Rameshkumaar, K. Prakash, and D. Sugandaran, "Impact of celebrity endorsement on cause-related marketing and purchase intention of FMCG consumers in Chennai," Journal of Statistics & Management Systems, vol. 26, no. 7, pp. 1627–1641, 2023.
S. Arul Krishnan, V. P. Rameshkumaar, R. Sathya Aarthi, and S. Karthikeyan, "Role of job design on institutional support and work-life equilibrium of women teachers in Chennai," Journal of Statistics & Management Systems, vol. 26, no. 7, pp. 1549–1563, 2023.
S. Karthikeyan, V. P. Rameshkumaar, and B. Balaji, "Subscribers of Indian Mobile Telecom: Satisfaction with Experience and Loyalty," International Journal of Management, vol. 11, no. 9, Oct. 15, 2020.
S. Pundir, V. G. Murugan, P. Raman, V. P. Rameshkumaar, and P. Sudharsan, "Automatic Stock Price Prediction and Classification Based on Hybrid with AI Feature Selection Method," in Proc. 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), pp. 149–154, Apr. 9, 2024. IEEE.
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.
P. Nutalapati, J. R. Vummadi, S. Dodda and N. Kamuni, "Advancing Network Intrusion Detection: A Comparative Study of Clustering and Classification on NSL-KDD Data," 2025 International Conference on Data Science and Its Applications (ICoDSA), Jakarta, Indonesia, 2025, pp. 880-885.
P. Nutalapati, S. M. Dhavale, A. Shrivastava, R. V. S. Praveen, H. K. Vemuri and R. RiadHwsein, "IoT and Machine Learning-Enhanced Energy Management in Enabled Smart Grids for Predictive Load Balancing," 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS), Indore, India, 2025.
P. Nutralapati, “Disaster Recovery and Business Continuity Planning in Cloud-Blockchain Infrastructures,” SSRN Electron. J., Jun. 2020. Available: https://ssrn.com/abstract=5219038.
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. Hiremath, “Quantum Networking: Strategic Imperatives for Enterprises and Service Providers in the Emerging Quantum Era,” Journal of Computational Analysis and Applications (JoCAAA), vol. 31, no. 3, pp. 617–631, Dec. 2023.
V. Hiremath, "AI-Optimized Adaptive Routing for High-Performance Data Centers: A Predictive Framework for Dynamic Network Optimization," 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India, 2025, pp. 152-157.
V. Hiremath, "Optimizing SDN Controller Placement for Enhanced Performance and Scalability in Large-Scale Networks," 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025.
D. K. Arora et al., “An in vitro assessment of microleakage of pit and fissure sealants and restorative materials using dye penetration method,” Journal of Pharmacy and Bioallied Sciences, Feb. 2025.
R. Nagar et al., “In vitro analysis of compressive strength of three different aesthetic restorative materials,” Journal of Pharmacy and Bioallied Sciences, Feb. 2025.
N. Maiti et al., “Assessment of the efficacy of photobiomodulation (PBM) therapy in periodontal treatment: a longitudinal study,” Journal of Pharmacy and Bioallied Sciences, vol. 16, no. Suppl 3, pp. S2449–S2451, Jul. 2024.
D. Sumathi and P. Poongodi, "Scheduling Based on Hybrid Particle Swarm Optimization with Cuckoo Search Algorithm in Cloud Environment," IIOAB Journal, vol. 7, no. 9, pp. 358-366, 2016.
D. Sumathi and P. Poongodi, "Secure medical information processing in cloud: Trust with swarm based scheduling," Journal of Medical Imaging and Health Informatics, vol. 6, no. 7, pp. 1636-1640, 2016.
D. Sumathi and P. Poongodi, "An improved scheduling strategy in cloud using trust based mechanism," Int. J. Comput. Electr. Autom. Control Inf. Eng, vol. 9, no. 2, pp. 637-641, 2015.
D. Sumathi, B. Melinamath, and R. Goyal, "Iov Traffic Prediction Utilizing Bidirectional Memory and Spatiotemporal Constraints with Local Search and NonLinear Analysis," Journal of Computational Analysis & Applications, vol. 33, no. 2, 2024.
D. Sumathi, A. Singh, A. Sinha, D. Aditya, and M. R. KF, "The Deepfake Dilemma: Enhancing Deepfake Detection with Vision Transformers," in 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, Jan. 2025.
V. B. Gowda, M. T. Gopalakrishna, J. Megha, and S. Mohankumar, “Foreground segmentation network using transposed convolutional neural networks and up sampling for multiscale feature encoding,” Neural Netw., vol. 170, pp. 167–175, 2024.
V. B. Gowda, G. M. Thimmaiah, M. Jaishankar, and C. Y. Lokkondra, “Background-foreground segmentation using Multi-scale Attention Net (MA-Net): A deep learning approach,” Rev. Intell. Artif., vol. 37, no. 3, pp. 557–565, 2023.
V. B. Gowda, M. G. Krishna, and J. Megha, “Dynamic Background Modeling and Foreground Detection using Orthogonal Projection onto the Subspace of Moving Objects,” in Proc. IC3, 2023.
V. B. Gowda, M. T. Gopalakrishna, J. Megha, and S. Mohankumar, “Background initialization in video data using singular value decomposition and robust principal component analysis,” Int. J. Comput. Appl., vol. 45, no. 9, pp. 600–609, 2023.
A. K. Joshi and S. B. Kulkarni, “Flow analysis of vehicles on a lane using deep learning techniques,” J. Adv. Inf. Technol., vol. 14, no. 6, pp. 1354–1364, 2023.
A. K. Joshi, V. Shirol, S. Jogar, P. Naik, and A. Yaligar, “Credit card fraud detection using machine learning techniques,” Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol., vol. 6, no. 3, pp. 436–442, 2020.
A. K. Joshi and S. B. Kulkarni, “Multi-modal information fusion for localization of emergency vehicles,” Int. J. Image Graph., vol. 24, no. 1, Art. no. 2550050, 2024.
A. K. Joshi and S. B. Kulkarni, “Multimodal deep learning information fusion for fine-grained traffic state estimation and intelligent traffic control,” Int. J. Intell. Syst. Appl. Eng., vol. 11, no. 3, pp. 1020–1029, 2023.
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.
S. N. Akhter, R. Kumari, and A. Kumar, “Fertility booster effect of Asparagus recemosus against arsenic induced reproductive toxicity in Charles Foster rats,” J. Adv. Zool., vol. 45, no. 5, 2024. [Online]. Available: http://jazindia.com.
Z. Hashmi, R. Kumari, and A. Kumar, “Antidote effect of Bacopa Koneru against arsenic induced toxicity in rats,” J. Adv. Zool., vol. 45, no. 5, 2024. [Online]. Available: http://jazindia.com.
Z. Hashmi, R. Kumari, and A. Kumar, “Phytoremedial effect of Ocimum sanctum against arsenic induced toxicity in Charles Foster rats,” J. Adv. Zool., vol. 45, no. 5, 2024. [Online]. Available: http://jazindia.com. ISSN: 0253-7214.
B. Kumari, P. Das, and R. Kumari, “Accelerated processing of solitary and clustered abasic site DNA damage lesion by APE1 in the presence of aqueous extract of Ganoderma lucidum,” J. Biosci., vol. 41, pp. 265–275, 2016.
R. Kumari, R. K. Singh, N. Kumar, and R. Kumari, “Preparation of superfine Bael leaf nanopowder, physical properties measurements and its antimicrobial activities,” Egypt. Chem. Bull., vol. 12, no. 4, pp. 284–297, 2023.
M. K. Sinha, R. Kumari, and A. Kumar, “Ameliorative effect of Ganoderma lucidum on sodium arsenite induced toxicity in Charles Foster rats,” J. Adv. Zool., vol. 45, no. 5, 2024. [Online]. Available: http://jazindia.com.
