Interactive projects
Research works
Accepted
- IEEE Transaction paper titled "A Visualized Botnet Detection System based Deep Learning for the Internet of Things Networks of Smart Cities" has been accepted to IEEE-IAS Security, Reliability, Privacy, and Quality in Industrial Automation and Control (Impact Factor 3.3,Q1, H Index:175) [Click to view paper]
- IEEE confernce paper titled "Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network" has been accepted to The Eighth International Workshop on Security and Privacy in Big Data in conjunction with IEEE INFOCOM 2020 which is a top ranked conference (CORE Rank: A* and H-index of 205) on networking.
- IEEE confernce paper titled "A Deep learning Approach for Botnet Detection in the Internet of Things Networks of Smart Cities" has been accepted to The Second International Workshop on Data Driven Intelligence for Networks in IEEE INFOCOM 2020 which is a top ranked conference (CORE Rank: A* and H-index of 205) on networking.
- IEEE confernce paper titled "Deep Convolutional Neural Network Based Image Spam Classification" has been accepted to 6th International Conference on Data Science and Machine Learning Applications (CDMA 2020)
- Springer conference paper titled "DCNN-IDS : Deep Convolutional Neural Network based Intrusion Detection System" has been accepted to PSG ICC3 2019 Conference
- Springer conference paper titled "Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment" has been accepted to SSCC-2019 Symposium
- Springer conference paper titled "Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security" has been accepted to Fifth International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS'19).
- IEEE conference paper titled ”A Deep Learning Framework for Domain Generation Algorithms Prediction Using Long Short-term Memory.” has been accpeted to 5th International Conference on Advanced Computing & Communication Systems (ICACCS) [Click to view paper]
- A book chapter titled "Musculoskeletal Radiographs Classification using Deep Learning" has been accepted for inclusion in the book "Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges" which will be published from Elsevier in 2020.
Mini-Projects
- Home automation system using Raspberry Pi via Bluetooth.
- Ultrasonic Insect Robot using Arduino.
- Voice controlled Robotic hand using Raspberry Pi.