Sriram MuralidharanSri Sivasubramaniya Nadar College of Engineering | SSN · Department of Computer Science & Engineering
Bachelor of Engineering
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Citations since 2017
3 Research Items
Areas of Interest: Artificial Intelligence, Machine Learning, Deep Learning Currently Working on projects Clustering / Classification of UE-VBS devices.
The aim of this work is to build a network traffic monitoring application that is capable of categorizing network data traffic based on their application usage into 7 types: Browsing, Chat, Email, File Transfer, Streaming, VoIP and P2P. Flow-wise data is analyzed after the traffic stream is fed into the CICFlowmeter. Live traffic flow is fed to var...
Malware threat detection is one of the most challenging tasks in the field of Information Security and the shortage of qualified personnel makes it even harder for people to keep their information secure. Moreover, malware design has evolved continuously, making it even more difficult for people to protect themselves from malware attacks. Thus, it...