Abstract- In current digital world, Security has become the major issue for the organization. Every day the amount of data is growing in the world. Processing and analyzing of the data is becoming the new challenge for the analyzers. For this purpose, big data is useful to process the high volume of data in less time. Current security tools like existing firewalls and Intrusion Detection Systems are still not able to detect and prevent the attacks and intrusions in full proof manner and giving many false alarms. Big Data analytics concept could be very useful for analyzing, detection and providing full security to the organization because of the ability of handling the large amount of data. In this paper, we have described the concept and t...
An Intrusion Detection Model (IDM) using a Machine Learning (ML) algorithm on a Big Data environment...
Since the turn of the millennium, the volume of data has increased significantly in both industries ...
Big-data is loosely distributed processing applications that operate large amount of knowledge. The ...
Abstract: Network-based Intrusion Detection System is a threat caused by the explosion of computer n...
Nowadays threat of previously unknown cyber- attacks are increasing because existing security system...
Ever since the invention of the Internet, more and more computers are connected throughout the world...
The technological and social changes in the cur- rent information age pose new challenges for secur...
Abstract — Recently, threat of previously unknown cyber-attacks are increasing because existing secu...
Submitted in partial fulfillment of the requirements for the Degree of Masters of Science in Informa...
In recent years, a considerable amount of effort has been devoted to cyber-threat protection of comp...
Abstract: Big Data describes data sets that are too large, to unstructured or too fast changing for ...
Attacks on critical information infrastructure are increasing in volume and sophistication with dest...
Currently, with the rapid developments communication technologies, large number of trustworthy onlin...
Cybersecurity is seen as a major player in the protection of Internet-connected systems, including h...
This book presents the latest advances in machine intelligence and big data analytics to improve ear...
An Intrusion Detection Model (IDM) using a Machine Learning (ML) algorithm on a Big Data environment...
Since the turn of the millennium, the volume of data has increased significantly in both industries ...
Big-data is loosely distributed processing applications that operate large amount of knowledge. The ...
Abstract: Network-based Intrusion Detection System is a threat caused by the explosion of computer n...
Nowadays threat of previously unknown cyber- attacks are increasing because existing security system...
Ever since the invention of the Internet, more and more computers are connected throughout the world...
The technological and social changes in the cur- rent information age pose new challenges for secur...
Abstract — Recently, threat of previously unknown cyber-attacks are increasing because existing secu...
Submitted in partial fulfillment of the requirements for the Degree of Masters of Science in Informa...
In recent years, a considerable amount of effort has been devoted to cyber-threat protection of comp...
Abstract: Big Data describes data sets that are too large, to unstructured or too fast changing for ...
Attacks on critical information infrastructure are increasing in volume and sophistication with dest...
Currently, with the rapid developments communication technologies, large number of trustworthy onlin...
Cybersecurity is seen as a major player in the protection of Internet-connected systems, including h...
This book presents the latest advances in machine intelligence and big data analytics to improve ear...
An Intrusion Detection Model (IDM) using a Machine Learning (ML) algorithm on a Big Data environment...
Since the turn of the millennium, the volume of data has increased significantly in both industries ...
Big-data is loosely distributed processing applications that operate large amount of knowledge. The ...