ugnoeyh,김현구,secure_9,github

android_packages_apps_settings

Settings Package

blockchain-enabled-crowdfunding

Demonstrate the use of Hyperledger Fabric for building a collaboration platform for Crowdfunding

blockchain_want_react_web

Demo : https://dreamy-wilson-64bdc9.netlify.app/

capstondesign

[졸업작품] 2019년 03월 ~ 2019년 07월 경일대학교 사이버보안학과 캡스톤디자인 완성작

car_auction_react

React Native & HyperLedger Composer_DApp

coding-study

C, JAVA, Python, Js, HTML, Solidity... Lang Study

creditcard-company-search

신용(체크)카드 번호만으로 (Visa, Master, China, Amex 등...)해외 회사 분류 및 국내 (KB, 신한, BC, 롯데, 현대 등) 분류

In today’s era, microblogging platforms serve as the source for a plethora of sensitive and diverse information. We describe “Cyber Semantic Web” a system to discover and analyze cybersecurity intelligence on Twitter and serve as an intelligence source. Real-time information in the form of tweets is extracted about various cyber threats. The intelligence gathered will be represented by the semantic web and then extracted to be used for security analysis. In this implementation, we extract a vast amount of raw data from Twitter. After extraction of data, this data is preprocessed to a form that consists of only the tweet, the data, and the URL. The preprocessed data is then stored within a processed data store. The processed data store is then converted to a cross-platform independent data store that is fed to the Open Calais API created by Thomson Reuters. With the help of the Open Calais API, a series of categories are generated with the help of Natural Language Processing (NLP). We have now obtained data with context. This context can help inform users on a specific cybersecurity category in which a tweet may best fit. This procedure has proven to be a successful implementation which allows us to input a cybersecurity category, and a series of tweets which fall under the inputted category are retrieved. These retrieved tweets can now serve as tools for cyber security analysis and as a daily insight into the world of cybersecurity.