ravibabacs Goto Github PK
Name: Ravi Prakash Pandey
Type: User
Company: MNNIT Allahabad
Bio: M.tech(software engineering) Student @MNNIT Allahabad
Location: Allahabad
Name: Ravi Prakash Pandey
Type: User
Company: MNNIT Allahabad
Bio: M.tech(software engineering) Student @MNNIT Allahabad
Location: Allahabad
The demo source code for our Swift, iOS, and macOS tutorials
Software-Defined Networking has been proven advantageous in terms of performance, manageability, and scaling for data centers. Still, when it comes to security, there is a loophole in the design of this new paradigm, which is its centralized structure. SDNcontroller is vulnerable to mainly Distributed Denial of Service (DDoS) attacks. If the controller becomes the victim of DDoS attack, it can become a severe problem to the whole network as it keeps entertaining the false requests coming from the attacker. Asa result, the controller becomes overloaded and will not be able to respond to genuine requests. Also, it will produce so many false flows that will be filled in the SDN switches, and as a result, the switches will be overloaded. Thus detection of DDoS attack becomes important for the security of Software Defined Networking. In this project, DistributedDenial of Service (DDoS) attacks have been detected using machine learning models. The datasets have been created using the sFlow-rt tool both for the normal traffic and the attack traffic, and then using these datasets, various machine learning models have been trained. The datasets were trained and tested with Multilayer Perceptron (MLP) and K-Nearest Neighbors (KNN) classifiers. From the results, we can conclude that machine learning methods can show better results in the detection of DDoS attack.
Paytm-customuisdk integration with react native
scikit-learn: machine learning in Python
This is demonstration of semaphore in swift/ios, where we can limit the number of request for an instance
This project presents a modification to a fuzzy based segmentation algorithm proposed by Krindis and Chatzis known as fuzzy local information c-means (FLICM) which has a variation of fuzzy c-means (FCM) algorithm. In project work, we have proposed a modification to energy function of FLICM.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.