Pinned Repositories
Attendant-QR-Scanner-using-ML-Kit
BirthCertificate
A blockchain project to create Birth Certificate
CICIDS-2017-intrution-detection-
Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated and ever-growing network attacks. Due to the lack of reliable test and validation datasets, anomaly-based intrusion detection approaches are suffering from consistent and accurate performance evolutions. Our evaluations of the existing eleven datasets since 1998 show that most are out of date and unreliable. Some of these datasets suffer from the lack of traffic diversity and volumes, some do not cover the variety of known attacks, while others anonymize packet payload data, which cannot reflect the current trends. Some are also lacking feature set and metadata. CICIDS2017 dataset contains benign and the most up-to-date common attacks, which resembles the true real-world data (PCAPs). It also includes the results of the network traffic analysis using CICFlowMeter with labeled flows based on the time stamp, source, and destination IPs, source and destination ports, protocols and attack (CSV files). Also available is the extracted features definition. Generating realistic background traffic was our top priority in building this dataset. We have used our proposed B-Profile system (Sharafaldin, et al. 2016) to profile the abstract behavior of human interactions and generates naturalistic benign background traffic. For this dataset, we built the abstract behaviour of 25 users based on the HTTP, HTTPS, FTP, SSH, and email protocols. The data capturing period started at 9 a.m., Monday, July 3, 2017 and ended at 5 p.m. on Friday July 7, 2017, for a total of 5 days. Monday is the normal day and only includes the benign traffic. The implemented attacks include Brute Force FTP, Brute Force SSH, DoS, Heartbleed, Web Attack, Infiltration, Botnet and DDoS. They have been executed both morning and afternoon on Tuesday, Wednesday, Thursday and Friday.
code-examples
A collection of code examples from blog posts etc.
cordapp-loan-project-java
cordapp-tax-project-java
CSELINGUA
Config files for my GitHub profile.
exercise-app
fi
first commit
fintech
initial commit
CSELINGUA's Repositories
CSELINGUA/Attendant-QR-Scanner-using-ML-Kit
CSELINGUA/BirthCertificate
A blockchain project to create Birth Certificate
CSELINGUA/CICIDS-2017-intrution-detection-
Intrusion Detection Systems (IDSs) and Intrusion Prevention Systems (IPSs) are the most important defense tools against the sophisticated and ever-growing network attacks. Due to the lack of reliable test and validation datasets, anomaly-based intrusion detection approaches are suffering from consistent and accurate performance evolutions. Our evaluations of the existing eleven datasets since 1998 show that most are out of date and unreliable. Some of these datasets suffer from the lack of traffic diversity and volumes, some do not cover the variety of known attacks, while others anonymize packet payload data, which cannot reflect the current trends. Some are also lacking feature set and metadata. CICIDS2017 dataset contains benign and the most up-to-date common attacks, which resembles the true real-world data (PCAPs). It also includes the results of the network traffic analysis using CICFlowMeter with labeled flows based on the time stamp, source, and destination IPs, source and destination ports, protocols and attack (CSV files). Also available is the extracted features definition. Generating realistic background traffic was our top priority in building this dataset. We have used our proposed B-Profile system (Sharafaldin, et al. 2016) to profile the abstract behavior of human interactions and generates naturalistic benign background traffic. For this dataset, we built the abstract behaviour of 25 users based on the HTTP, HTTPS, FTP, SSH, and email protocols. The data capturing period started at 9 a.m., Monday, July 3, 2017 and ended at 5 p.m. on Friday July 7, 2017, for a total of 5 days. Monday is the normal day and only includes the benign traffic. The implemented attacks include Brute Force FTP, Brute Force SSH, DoS, Heartbleed, Web Attack, Infiltration, Botnet and DDoS. They have been executed both morning and afternoon on Tuesday, Wednesday, Thursday and Friday.
CSELINGUA/code-examples
A collection of code examples from blog posts etc.
CSELINGUA/cordapp-loan-project-java
CSELINGUA/cordapp-tax-project-java
CSELINGUA/CSELINGUA
Config files for my GitHub profile.
CSELINGUA/exercise-app
CSELINGUA/fi
first commit
CSELINGUA/fintech
initial commit
CSELINGUA/interview-questions
CSELINGUA/JavaFX-Poker
Poker game developed in JavaFX
CSELINGUA/jonablock
Birth certificate powered by blockchain
CSELINGUA/openmrs-core
OpenMRS API and web application code
CSELINGUA/openmrs-module-legacyui
The legacy user interface for OpenMRS Platform 2.x is chiefly comprised of administrative functions and the patient dashboard. Apparently, a new and more contemporary UI has been introduced via a UI framework and the legacy UI is kept around for administrative functions that are not yet implemented in the new UI. To retire the Legacy UI as planned, it is required to move the implementations and modules that still rely on it in order to maintain backwards compatibility. The main idea behind this project is to move legacy UI functions into an OpenMRS module that these implementations can install until they are able to migrate away from it, since most of the implementations of OpenMRS around the world are running OpenMRS 1.9.
CSELINGUA/openmrs-module-spa
The OpenMRS Java module that allows Tomcat to serve a Single-SPA
CSELINGUA/qrscanner
CSELINGUA/RoughSets
RoughSets package for R System
CSELINGUA/samples
This repository has been deprecated. Please use the links in the README to access the new repositories.
CSELINGUA/samples-java
This repository contains multiple sample apps, from CorDapps that help you get started, all the way to demonstrating specific features and advanced usage.
CSELINGUA/Signin-Signup-UI-design-2019
Signin / Signup UI design 2019
CSELINGUA/speechsynthesis
CSELINGUA/SpeechToText
This repo shows how top implement the Speech to Text functionality using the SpeechRecognizer class.
CSELINGUA/spring-boot-react-fullstack
CSELINGUA/SurveyKit
Android library to create beautiful surveys (aligned with ResearchKit on iOS)
CSELINGUA/test
CSELINGUA/testes
CSELINGUA/TMSReaderCopy
TMS reader application
CSELINGUA/tutorials
Just Announced - "Learn Spring Security OAuth":
CSELINGUA/VacationTourApp