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sececter's Projects

lstm-anomaly-detect icon lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

macan icon macan

Message Authenticated CAN library & tools written in C

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mbe icon mbe

Course materials for Modern Binary Exploitation by RPISEC

mcpu icon mcpu

MCPU - A Minimal 8Bit CPU in a 32 Macrocell CPLD

mern-crud icon mern-crud

A simple records system using MongoDB, Express.js, React.js, and Node.js with real-time CRUD operations using Socket.io

metaphor icon metaphor

Metaphor - Stagefright with ASLR bypass

mffa icon mffa

Media Fuzzing Framework for Android

mini-mc icon mini-mc

minimal symbolic model checker & fuzzer

nafl icon nafl

A clone (of the basic core) of AFL fuzzer

network-intrusion-detection-system icon network-intrusion-detection-system

Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R. Java is used to prepare DataSets. R is used implement a neural network. Weka is used for data cleaning.

network-intrusion-detection-system-3 icon network-intrusion-detection-system-3

A network intrusion detection system that monitors bidirectional network traffic from various locations and reports statistical anomalies to a central decision making server

newfuzzer icon newfuzzer

HWP Document Fuzzer (Simple OLE Structure Parsing)

nids-1 icon nids-1

A network intrusion detection system using machine learning. Naive Bayes, Decision Tree and Random Forest machine learning algorithm are used in this project.

nomadgram icon nomadgram

Instagram Clone with Python + Django + Django Rest Framework + React + Redux

o8 icon o8

An 8-bit CPU in Verilog, for fun.

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