Big Data Analytics with Applications in Insider Threat Detection
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A01=Bhavani Thuraisingham
A01=Latifur Khan
A01=Mohammad Mehedy Masud
A01=Pallabi Parveen
adaptive malware analysis
advanced malware detection techniques
anomaly detection methods
Author_Bhavani Thuraisingham
Author_Latifur Khan
Author_Mohammad Mehedy Masud
Author_Pallabi Parveen
Big Data
Big Data Management
Big Data Systems
Category=UBL
Category=UNF
Category=UR
Category=UY
Chunk Size
Class Detection Technique
Classifying Concept Drifting Data Streams
cloud computing security
Cloud Storage
concept
Concept Drift
cybersecurity analytics
Data Chunks
Data Stream Classification
Data Stream Classification Problem
Data Stream Mining
Data Streams
drift
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
graduate research resource
Inference Controller
Insider Threat
Insider Threat Detection
Latifur Khan
Malware Detection
MapReduce Jobs
Mohammad Mehedy Masud
Pallabi Parveen
QD
RDF Data
RDF Graph
RDF Triple
semantic
Semantic Web
Semantic Web Technologies
SPARQL Query
stream mining algorithms
web
Product details
- ISBN 9781498705479
- Weight: 1200g
- Dimensions: 178 x 254mm
- Publication Date: 01 Dec 2017
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. Distinguished Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute (CSI) at the University of Texas at Dallas.
Dr. Kevin W. Hamlen is an Assistant Professor in CS at UTD where he directs the Software Security Lab.
Dr. Latifur R. Khan is currently an Associate Professor in CS at UTD.
Dr. Mehedy Masud is an associate professor at the College of Information Technology, United Arab Emirates University.
