michalisk13's Stars
ARMmbed/mbed-os-example-cellular
This is an example based on mbed-os cellular APIs that demonstrates a TCP or UDP echo transaction with a public echo server.
vshymanskyy/TinyGSM
A small Arduino library for GSM modules, that just works
techstudio-design/SimpleNB
A simple Arduino library for communication with NB-IoT/Cat-M1 modules
MatthewKuKanich/CAN_Commander
CAN Commander is a comprehensive tool designed for the reverse engineering of CAN (Controller Area Network) bus systems. This project aims to provide a robust platform for automotive enthusiasts, engineers, and security researchers to interact with and analyze CAN networks, facilitating a deeper understanding and manipulation of communication.
CVEProject/cvelist
Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023
un4gi/fave
Search for vulnerabilities and exposures while filtering based on age, keywords, and other parameters.
msd0pe-1/cve-maker
Tool to find CVEs and Exploits.
shubhammola/NIDS
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
abhinav-bhardwaj/IoT-Network-Intrusion-Detection-System-UNSW-NB15
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
rpaudel42/IOTAnomaly
Anomaly Detection in Network Traffic of IOT Devices
Tim-101/Anomaly-Detection-For-IoT-Devices
This project is part of my capstone project at The University of Sydney
SHVleV9CYWkK/IoT-anomaly-detection
🚀 Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-constrained environments.
OliverStoll/Anomaly-Detection-IIoT
"Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things" (IEEE) - Exploring resource-efficient & data privacy enabling training at the edge
databricks-industry-solutions/iot-anomaly-detection
sassoftware/iot-anomaly-detection-hvac
Learn how to build an anomaly detection model and deploy it for real-time monitoring of malfunctioning Air Handling Units (AHUs)
Shauqi/Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
Attack and Anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Malicious Control, Malicious Operation, Scan, Spying and Wrong Setup are such attacks and anomalies which can cause an IoT system failure. In this paper, performances of several machine learning models have been compared to predict attacks and anomalies on the IoT systems accurately. The machine learning (ML) algorithms that have been used here are Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN). The evaluation metrics used in the comparison of performance are accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve. The system obtained 99.4% test accuracy for Decision Tree, Random Forest, and ANN. Though these techniques have the same accuracy, other metrics prove that Random Forest performs comparatively better.
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
kaiwaehner/ksql-udf-deep-learning-mqtt-iot
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
yliang725/Anomaly-Detection-IoT23
A research project of anomaly detection on dataset IoT-23
roglantero/IoT-AnomalyDetection
Created a dataset with statistical features for data from different sensors (ts) and did a clustering algorithm to see which of them are anomalous.
iDoka/awesome-canbus
:articulated_lorry: Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
D14bloo/OpenSource-SocasS
Deploying of infrastructure and technologies for a SOC as a Service ( SOCasS)
netlab-sapienza/android-ble-mesh
A BLE Network Library for Android
vaggelis-sudo/5G-UE-SecurityTesting
P1sec/MCC_MNC
Providing accurate JSON and Python dicts about the many public information available about MNO
Montimage/5Greplay
Tool for modifying and replaying 5G protocol network traffic
DES-Lab/AALpy
An Automata Learning Library Written in Python
LearnLib/learnlib
A free, open-source Java library for automata learning algorithms
kaist-hacking/BaseComp
BaseComp: A Comparative Analysis for Integrity Protection in Cellular Baseband Software
SyNSec-den/DIKEUE
This is the public release of the code of our paper titled "Noncompliance as Deviant Behavior: An Automated Black-box Noncompliance Checker for 4G LTE Cellular Devices" (CCS'21).