Journal ArticleDOI
Big Data Analytics for Security
Alvaro A. Cardenas,Pratyusa K. Manadhata,Sreeranga P. Rajan +2 more
- Vol. 11, Iss: 6, pp 74-76
TLDR
Big data is changing the landscape of security tools for network monitoring, security information and event management, and forensics; however, in the eternal arms race of attack and defense, security researchers must keep exploring novel ways to mitigate and contain sophisticated attackers.Abstract:
Big data is changing the landscape of security tools for network monitoring, security information and event management, and forensics; however, in the eternal arms race of attack and defense, security researchers must keep exploring novel ways to mitigate and contain sophisticated attackers.read more
Citations
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Big Data in Distributed Analytics, Cybersecurity, Cyber Warfare and Digital Forensics
Lidong Wang,Cheryl Ann Alexander +1 more
TL;DR: Big Data applications in distributed analytics, general cybersecurity, general cyber threats, cyber attacks, and cyber security in cloud computing, etc., cyber warfare, cyber defense, and digital forensics are introduced.
Proceedings ArticleDOI
Feature Cultivation in Privileged Information-augmented Detection
TL;DR: Evaluation shows that use of privileged information leads to up to 8.2% relative decrease in detection error for fast-flux bot detection over a system with no privileged information, and 5% for malware classification.
Journal ArticleDOI
Data science for oceanography: from small data to big data
TL;DR: The rapid development of ocean observation technology has resulted in the accumulation of a large amount of data and this is pushing ocean science towards being data-driven, according to the types of data collected.
A Review of Issues in Healthcare Information Management Systems and Blockchain Solutions
Alan T. Litchfield,Arshad Khan +1 more
TL;DR: Issues such as security, privacy, data transparency, interoperability, data accessibility, user interface issues in healthcare information management systems are presented and blockchain technology related studies in Healthcare information systems are discussed with the aim to find what issues in Healthcare system present research opportunities using blockchains.
References
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Proceedings ArticleDOI
Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks
Ting-Fang Yen,Alina Oprea,Kaan Onarlioglu,Todd Leetham,William Robertson,Ari Juels,Engin Kirda +6 more
TL;DR: A novel system, Beehive, that attacks the problem of automatically mining and extracting knowledge from the dirty log data produced by a wide variety of security products in a large enterprise, and is able to identify malicious events and policy violations which would otherwise go undetected.
Proceedings ArticleDOI
Toward a standard benchmark for computer security research: the worldwide intelligence network environment (WINE)
Tudor Dumitras,Darren Shou +1 more
TL;DR: The unique characteristics of the WINE data are reviewed, why rigorous benchmarking will provide fresh insights on the security arms race is discussed, and a research agenda for this area is proposed.
Proceedings ArticleDOI
BotCloud: Detecting botnets using MapReduce
TL;DR: This paper proposes a distributed computing framework that leverages a host dependency model and an adapted PageRank algorithm and reports experimental results from an open-source based Hadoop cluster and highlights the performance benefits when using real network traces from an Internet operator.
Journal Article
Using Large Scale Distributed Computing to Unveil Advanced Persistent Threats
Paul Giura,Wei Wang +1 more
TL;DR: This paper proposes a model of the APT detection problem as well as a methodology to implement it on a generic organization network and shows that this approach is feasible to process very large data sets and is flexible enough to accommodate any context processing algorithm, even to detect sophisticated attacks such as APT.