Pankaj Chandre
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A Hybrid Heuristic-Machine Learning Framework for Phishing Detection Using Multi-Domain Feature Analysis Open
This study introduces a hybrid phishing detection framework that combines machine learning with heuristic rule-based techniques to provide accurate, scalable, and policy-compliant detection across a variety of phishing types. The proposed …
Survey and comparative analysis of phishing detection techniques: current trends, challenges, and future directions Open
In the age of digital communication, scams such as phishing continue to be a problem, necessitating the need for ever-more-advanced detection techniques to safeguard sensitive data. Examining several methods now in use, this review article…
Big Data Analytics Platform for Urban Environmental Monitoring and Optimization Open
Environmental monitoring in the city demands the solution which will enable to work with the huge volumes of data of different kinds and utilize the resources in the most effective way. The presented work proposes Big Data Analytics Platfo…
Comparative analysis of explainable AI models for predicting lung cancer using diverse datasets Open
Lung cancer prediction is crucial for early detec-tion and treatment, and explainable AI models have gained attention for their interpretability. This study aims to compare various explainable AI models using diverse datasets for lung canc…
Predicting lung cancer risk using explainable artificial intelligence Open
Lung cancer is a lethal disease that claims numerous lives annually, and early detection is essential for improving survival rates. Machine learning has shown promise in predicting lung cancer risk, but the lack of transparency and interpr…
Machine Learning-Enhanced Advancements in Quantum Cryptography: A Comprehensive Review and Future Prospects Open
Quantum cryptography has emerged as a promising paradigm for secure communication, leveraging the fundamental principles of quantum mechanics to guarantee information confidentiality and integrity. In recent years, the field of quantum cry…
The Rise of Crypto Malware: Leveraging Machine Learning Techniques to Understand the Evolution, Impact, and Detection of Cryptocurrency-Related Threats Open
Crypto malware has become a major threat to the security of cryptocurrency holders and exchanges. As the popularity of cryptocurrency continues to rise, so too does the number and sophistication of crypto malware attacks. This paper levera…
Prevention in Healthcare: An Explainable AI Approach Open
Intrusion prevention is a critical aspect of maintaining the security of healthcare systems, especially in the context of sensitive patient data. Explainable AI can provide a way to improve the effectiveness of intrusion prevention by usin…
Intrusion prevention system using convolutional neural network for wireless sensor network Open
Now-a-days, there is exponential growth in the field of wireless sensor network. In wireless sensor networks (WSN’s), most of communication happen through wireless media hence probability of attacks increases drastically. With the help of …
Trust Based Energy Efficient Relay Selection in Multihop Wireless Network Open
We will consider the two important aspects of the OR 1. Candidate node selection and 2. Prioritization of the selected nodes in the candidate set.In proposed work we consider the residual energy of the nodes as well as the security paramet…