Big data technologies for cybersecurity
Big data analytics for intrusion detection in Internet of Things (IoT) systems. Big data analytics for cloud systems security. Malware detection using big data analytics. Cyber threat intelligence using big data analytics. Big data processing architectures for threat detection.
Big data technologies for cybersecurity
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The article presents variants for building a cognitive early warning system about a computer attack on the information resources of the Russian Federation on the basis of Big Data technologies. The essence of Big Data technologies is considered in the context of its
Big data and predictive analytics: on the cybersecurity front line
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The cybersecurity environment is shifting. Firms and government agencies are faced with larger and broader changes to their industries and organizations than ever before. Most of this change comes from the ways we create, collect, store, and share information. This
Problem solving hands-on labware for teaching big data cybersecurity analysis
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The rapid growth of big data analysis needs has resulted in a shortage of professionals in this area. Despite such great need, big data analytics and data science is not well represented in current academic programs. Although a few schools have offered new
Big Data in Distributed Analytics, Cybersecurity , Cyber Warfare and Digital Forensics
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Big Data can reduce the processing time of large volumes of data in the distributed computing environment using Hadoop. It also can predict potential cybersecurity breaches, help stop cyber attacks, and facilitate post-breach digital forensic analysis. This paper
Fostering Cybersecurity Big Data Research: A Case Study of the AZSecure Data System
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Current estimates place the global economic cost of cybercrime at $450 billion annually. Since 200 the international Intelligence and Security Informatics (ISI) community ( 500+ members) has been recognized as leading experts in computationally collection and
Application of Big Data Analytic in Cybersecurity
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The technological and social changes in the current information age pose new challenges for security analysts. To overcome these challenges, new strategies and security solutions are sought to improve security operations concerning the detection and analysis of threats
Big Data Analytics and Cybersecurity for Advanced Manufacturing
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Many advanced manufacturing systems are based on industrial control systems (ICSs). Manufacturing systems are being facilitated by Internet of Things (IoT), cyber-physical systems (CPSs), and cloud platforms; however, the security risks due to these advanced
Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review
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Abstract Context: Big Data Cybersecurity Analytics (BDCA) systems encompass a breed of systems that leverage big data technologies for analyzing security events data to protect organizational networks, computers, and data from cyber attacks. Given the growing
Solving Cyber Security Challenges using Big Data
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Cybersecurity has become a Big Data problem as the size and complexity of security related data has grown too big to be handled by traditional security tools. In this paper the authors have described the categories of cybersecurity threats and challenges posed by them. They
Cyber Security and Big Data Analytics
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This research report examines the differences between the traditional methods of cyber security with the Big Data analytics. Since Internet is growing at a fast pace, the need for cyber security measure is essential in almost every aspect of our lives. This growing network
Big Data Analytics for Cyber Security
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Copyright 2019 Pelin Angin et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. e era of Internet of
BIG DATA AND CYBER SECURITY : CONTEMPORARY ISSUES
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Maintaining electronic data security at the highest level is an imperative in the modern business environment. In the exploration of new ways to improve defence, through making reports from analysis of attacks and defence strategies, the new idea was born to use big
Big Data Analytics in Cyber Security
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Big data analytics in security involves the ability to gather massive amounts of digital information to analyze, visualize and draw insights that can make it possible to predict and stop cyber attacks. Along with security technologies, it gives us stronger cyber defence
An Ensemble approach to Big Data Security ( Cyber Security )
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In the past, information safety was centered on event correlation designed for observing and spotting previously identified attacks. Due to the dynamic nature of multidimensional cyber – attacks, these models are no more acceptable. Specifically, these attacks use different
How Big Data Can Improve Cyber Security
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The research presented in this paper offers how Big Data can improve cybersecurity. Cybersecurity concerns affect organizations across virtually all industries, including retail, financial, communications and transportation. Big Data and analytics are some of the most
Big Data Cyber Security Threats for Mutual Detection
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In the time of big data , it is a difficulty to be solved for encouraging the strong growth of the Internet and the Internet+, caring the information protection of individuals, institutions and countries. Therefore, this manuscript creates a mutual finding system of cyber security
Big Data and Deep Models Applied to Cyber Security Data Analysis
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We present initial work that applies big data and deep models to a cyber security data analysis with a use case approach. We explored new technologies such as BDP ( Big Data Platform) as a service on the Amazon AWS system and Lexical Link Analysis (LLA). BDP
Big Data Computing Application in Digital Forensics Investigation and Cyber Security
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The potential advances and applications of Digital Information Technology (DIT) in several areas of business, engineering, medical and scientific studies are resulting in information/ data explosion. The demanding and growing reliance on digital media and
Big Data Analytics for Cyber Security
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The Cypher Physical Power Systems (CPPS) became vital targets for intruders because of the large volume of high speed heterogeneous data provided from the Wide Area Measurement Systems (WAMS). The Nonnested Generalized Exemplars (NNGE) algorithm
Designing a collaborative detection system for detecting the threats to the cyber security in big data
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In the season of big data , it is a trouble to be unraveled for empowering the solid development of the Internet and the Internet+, mindful the data security of people, foundations and nations. Along these lines, this manuscript makes a shared discovering
A Hyper Meta-Heuristic Cascaded Support Vector Machines for Big Data Cyber – Security
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At an incredible speed, cyber security evolves in the ever-changing setting of attacks. Organisation processing of information inward and outward is huge in quantity and determining a threat amidst of information is challengeable. Late discovery of such instance
THE QUALITY ATTRIBUTE BASED ARCHITECTURAL TACTIC DESIGN STRATEGY ON BIG DATA CYBER SECURITY
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Cloud computing useful for sharing information among the users with unlimited storage space. Data deduplication is method for eliminating duplicate copies of data , to reduce storage space and upload bandwidth in cloud. To achieve secure duplication in cloud