Enhancing Accuracy of DPI Traffic Classifier Using SSLi
Abstract & Details
Research Area
Network Security
Keywords
Traffic analysis
deep packet inspection
network monitoring
SSLi
traffic classification
Abstract
Deep Packet Inspection (DPI) techniques are considered extremely expensive in terms of accuracy and processing costs and therefore are usually deployed in edge networks, where the amount of data to be processed is limited. This paper demonstrates that, in case the application can’t tolerate any compromises in terms of accuracy, the processing cost can be reduced while even improving the classification precision, making DPI suitable with SSLi for high-speed networks.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pooja Mehta | GTU PG School, Gandhinagar |
| 2 | Shivi Shukla | C-DAC, Pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mehta, Pooja & Shukla, Shivi (2017). Enhancing Accuracy of DPI Traffic Classifier Using SSLi. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 4219-4230.
MLA Style
Mehta, Pooja, and Shivi Shukla. "Enhancing Accuracy of DPI Traffic Classifier Using SSLi." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 4219-4230.
IEEE Style
Pooja Mehta and Shivi Shukla, "Enhancing Accuracy of DPI Traffic Classifier Using SSLi," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 4219-4230, 2017.
Vancouver Style
Mehta Pooja, Shukla Shivi. Enhancing Accuracy of DPI Traffic Classifier Using SSLi. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):4219-4230.
Harvard Style
Mehta, Pooja & Shukla, Shivi (2017) 'Enhancing Accuracy of DPI Traffic Classifier Using SSLi', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 4219-4230.
Chicago Style
Mehta, Pooja and Shivi Shukla. "Enhancing Accuracy of DPI Traffic Classifier Using SSLi." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4219-4230.
Turabian Style
Mehta, Pooja and Shivi Shukla. "Enhancing Accuracy of DPI Traffic Classifier Using SSLi." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 4219-4230.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable