Stream Data Analytics for Network Attacks’ Prediction
نویسندگان
چکیده
منابع مشابه
Big Data Stream Analytics for Correlated Stock Price Movement Prediction
While much research work has been devoted to big data analytics in the past few years, very few studies about big data stream analytics are conducted and reported in existing Big Data literature. Empowered by recent success on automated mining of dynamic business networks, this paper illustrates the design of a novel framework named BIDSTA that leverages big data stream analytics to predict cor...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملSocial Network Data Analytics Social Network Data Analytics
The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they t...
متن کاملStream Analytics for Forecasting
The traditional approach of collecting, organising, storing, and analysing data is inadequate for applications where the reaction to events must be immediate. Filtering data streams prior to storage and analysis in order to reduce the volume of data is not efficient and degrades the information content that can be extracted. In contrast, new approaches, known as stream analytics, provide an abi...
متن کاملReal-Time Big Data Stream Analytics
Big Data is a new term used to identify datasets that we cannot manage with current methodologies or data mining software tools due to their large size and complexity. Big Data mining is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, variability, and velocity, of such data. MOA is a software fr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2020
ISSN: 1877-0509
DOI: 10.1016/j.procs.2020.02.114