rsrawat06 Goto Github PK
Name: Ramesh Singh Rawat
Type: User
Location: Dehradun, INDIA
Ramesh Singh Rawat's Projects
n-baiot-network-based-detection-of-iot-botnet-attacks-using-logistic-regression
a classification for N-BaloT which is a Anomaly Detection
netdetect
End-to-end differentiable model for botnet detection using GRUs with additive attention.
network-log-and-traffic-analysis
Identify malicious behavior and attacks using Machine Learning with Python
network_traffic_analyzer
A Python-based network traffic analyzer for PCAP files, providing insights into protocol distribution, IP communications, and potential port scanning activities.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
peershark
P2P botnet detection by tracking conversations
pixel-battle-botnet
VK Pixel Battle 2019/20 Botnet
py-botnet
Educational botnet program to perform a DDoS attack
pyrai
MIRAI botnet in python3
pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
qwtools
Python library for monitoring stream-water quality
sbbframework
Python implementation of the SBB genetic programming algorithm for reinforcement learning and classification tasks.
scikit-multiflow
A multi-output/multi-label and stream data framework. Inspired by MOA and MEKA, following scikit-learn's philosophy.
telco-customer-churn
Classification of the real time industry problem of customers churning.
telnet-iot-honeypot
Python telnet honeypot for catching botnet binaries
water_iot_1
IoT based smart fisheries and water quality monitoring system and system. This is a low cost system for real time monitoring of the water quality in IOT. The system consist of several sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, PH, turbidity, flow sensor of the water can be measured. The measured values from the sensors can be processed by the core controller. The Arduino model can be used as a core controller. Finally, the sensor data can be viewed on internet using WI-FI system. User can monitor fisheries system using web and android apps. This System will help to increase the production of fisheries system.
water_quality
water quality monitoring using SVM
yoshimi-botnet
PoC Android smart phone botnet
zeroaccess
ZeroAccess v3 toolkit
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