Search Results for "intrusion detection system matlab code"
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Showing 9 open source projects for "intrusion detection system matlab code"
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EHS Software and Management SystemERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
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Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
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ByteHook
ByteHook is an Android PLT hook library
ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system... -
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CNVMM
CNVMM performs copy number variations detection
CNVMM specializes in identifying copy number variations (CNVs) when there are repeated sequences in the reference genome. The input file is a single short read mapping result from any short read aligners. However, NNmapper or Bowtie2, which detect all mapping results for multi-reads, are recommended. To use the code, MATLAB installation is required. Mac or Linus system is required. -
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Facial Expression Recognition
Facial Expression Recognition System - Matlab source code
We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important"... -
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GoIFISH
for the semi-automated analysis of IFISH images
GoIFISH has been developed for the analysis of IFISH (Immunofluorescence + Fluorescence in situ Hybridisation) images, performing nuclear, membrane and spot detection. Users can manually edit segmentation results, perform background adjustments, construct heatmaps, topology maps, and perform cell classification. All results can be exported for further analysis. GoIFISH has been developed in MATLAB, however binaries are provided to run the program outside of the MATLAB environment. Source code is also available for download. ... -
Enterprise AI Agents for Every Customer MomentFrom chat to voice to SMS, every conversation gets a smart, personalized response powered by your policies, tone, and data.
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VOC-DPM
Object detection system using deformable part models (DPMs)
The VOC-DPM repository is an implementation of an object detection system built on deformable part models (DPMs) and latent SVM learning, specifically packaged as “voc-release5.” It is the companion code for Ross Girshick’s dissertation, and extends earlier work on discriminatively trained DPMs. The system supports a grammar-based representation for object models, allowing structures such as mixtures and hierarchies to represent parts and whole objects. It implements both latent SVM training... -
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Cellular-IDS
Cellular IDS based on Samsung's Network Extender
The source code LMG Security used to turn a Samsung-Verizon Network Extender into a Cellular Intrusion Detection System for less than $300. The project was demonstrated at Blackhat 2013 and DEFCON 21. The CIDS project can provide direct access to cellular traffic, allowing for analysis of mobile malware behavior in ways never before possible. For more information, see our blog post and whitepaper at http://lmgsecurity.com/blog/2013/07/26/diy-cellula . -
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RIDSystem
capturing packet and detecting intruders with their signature
Introduction: This project has been developed to detecting intruder activity in your network according to the existing signature of intrusion attacks,Anomalous behaviour etc... Scope: Government authorities has lot of information about defence,revenue,income tax and many informations. Intrusion Detection System will certainly minimize the unauthorized access and take immediate response to stop such illegal works. MNCs manages their whole information system using application software over their network.It will be helpful to monitor all the activity in the network. ... -
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The Kernel Intrusion Detection System-KIDS, is a Network IDS, where the main part, packets grab/string match, is running at kernelspace, with a hook of Netfilter Framework. The project is not ready for use, then incomplete pieces of code may be found.
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Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.Bright Data is a leading data collection platform, enabling businesses to collect crucial structured and unstructured data from millions of websites through our proprietary technology. Our proxy networks give you access to sophisticated target sites using precise geo-targeting. You can also use our tools to unblock tough target sites, accomplish SERP-specific data collection tasks, manage and optimize your proxy performance as well as automating all of your data collection needs.
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