Dilip Singh Sisodia
Papers
9
Total Citations
73
H-Index
4
About
Dilip Singh Sisodia is a leading researcher in the field of web analytics and cybersecurity, with a primary focus on distinguishing between human and automated web traffic. His work centers on the critical challenge of identifying web robots—automated software agents that can be used for both benign indexing and malicious activities like spamming, spying, and HTTP flood attacks. Sisodia has made significant contributions by developing innovative machine learning approaches for web robot detection, including ensemble-based learners, semi-supervised self-training models, and stacked sparse autoencoders (Web-S4AE). His research has been cited over 70 times, with his most influential paper, "Agglomerative Approach for Identification and Elimination of Web Robots from Web Server Logs" (2015), receiving 34 citations. Sisodia has also conducted comprehensive comparative analyses of browsing behaviors between humans and bots, and evaluated clustering techniques for categorizing robot sessions. His work is particularly notable for addressing the practical challenges of preprocessing web logs and extracting meaningful features to combat HTTP flood attacks, making his research essential for improving web server security and understanding genuine user behavior.
Research Focus
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Top Papers
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- 9Web Access Patterns of Actual Human Visitors and Web Robots2 citations · 2018