Shauqi / Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-ApproachesView on GitHub
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, Spyin…
☆52May 21, 2019Updated 7 years ago
Alternatives and similar repositories for Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches
Users that are interested in Attack-and-Anomaly-Detection-in-IoT-Sensors-in-IoT-Sites-Using-Machine-Learning-Approaches are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆80Apr 3, 2021Updated 5 years ago
- A research project of anomaly detection on dataset IoT-23☆111Feb 22, 2026Updated 3 months ago
- Whale Optimization Algorithm used to train Neural Network☆19Nov 28, 2016Updated 9 years ago
- Attention Model for Network Intrusion Detection☆19Jul 24, 2019Updated 6 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Jan 19, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This Network Intrusion Detection System (IDS) is network-based, and it will receive suspicious packet capture files from a network monito…☆14Apr 21, 2023Updated 3 years ago
- ☆13Sep 11, 2022Updated 3 years ago
- Deep Learning techniques can be implemented in the field of cybersecurity to handle the issues related to intrusion just as they have bee…☆23Jan 11, 2021Updated 5 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆30Oct 30, 2018Updated 7 years ago
- Try Openmax with MNIST Fashion dataset☆11Jul 22, 2018Updated 7 years ago
- ☆21Sep 21, 2020Updated 5 years ago
- User anomaly detector based on logs generated by Osquery framework and machine learning to process those logs.☆33Jul 10, 2017Updated 8 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆74Mar 25, 2023Updated 3 years ago
- ☆21Jan 14, 2023Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 2020 was a roller coaster of major, world-shaking events. We all couldn't wait for the year to end. But just as 2020 was about to close, …☆20Mar 26, 2022Updated 4 years ago
- A rewrite of the Assembly Line Game made in Unity☆12Dec 27, 2022Updated 3 years ago
- The continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆60Apr 30, 2021Updated 5 years ago
- an app that makes your personalized newsletter based on your bookmarks☆11Oct 15, 2017Updated 8 years ago
- Cyber Attack Detection thanks to Machine Learning Algorithms☆108Jan 20, 2020Updated 6 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆46Jun 3, 2019Updated 7 years ago
- Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This proj…☆44Jul 10, 2019Updated 6 years ago
- In this repository, I have used ARIMA,SARIMA,AutoArima,ANN,CNN and LSTMs for time series modelling and Anomaly detection has been done us…☆12Feb 8, 2021Updated 5 years ago
- Code for the paper "FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications" [NDSS '21]☆39Jan 16, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- This work aims at using different machine learning techniques in detecting anomalies (including hardware failures, sabotage and cyber-at…☆38Sep 11, 2020Updated 5 years ago
- ☆17Aug 6, 2025Updated 10 months ago
- An Interpretable Self-Attention Network with block-attention and attention-attribution.☆12Sep 22, 2023Updated 2 years ago
- ☆16Nov 22, 2022Updated 3 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Sep 14, 2020Updated 5 years ago
- Correlate NVD datasets wIth CWE/CAPEC/CVSS labels for customised usage. Plus static analysis and data visualisation.☆13Nov 17, 2023Updated 2 years ago
- The official codes for the paper Supervised Anomaly Detection via a Class-Balanced Generative Adversarial Network☆10Sep 7, 2023Updated 2 years ago
- Analysis and data notes for the August 20, 2014 BuzzFeed News article, "The Ferguson Area Is Even More Segregated Than You Probably Guess…☆25Aug 20, 2014Updated 11 years ago
- A system which has a real-time & light-weight anomaly detection algorithm based on streaming data from UAV sensors in to order to get the…☆14Jan 3, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The original code for SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization (VLDB 2022) and Scalable Decoupling Graph …☆13Mar 8, 2024Updated 2 years ago
- A multi-access (edge) fog computing mobile crowd-sensing simulator. Given a place as input, the current version creates a user movements …☆11Sep 18, 2025Updated 8 months ago
- ☆20Dec 19, 2025Updated 5 months ago
- Introduction to Programming using Python☆19Jul 12, 2020Updated 5 years ago
- Training an LSTM-based autoencoder to detect anomalies in the KDD99 network traffic dataset.☆15Oct 17, 2020Updated 5 years ago
- Small Python-based web application honeypot with built-in analysis tools.☆12Sep 15, 2019Updated 6 years ago
- Code for NDSS' 19 paper: A Systematic Framework to Generate Invariants for Anomaly Detection in Industrial Control Systems☆13Jun 21, 2021Updated 4 years ago