Bhavani Thuraisingham,
Pallabi Parveen,
Mohammad Mehedy Masud,
Latifur Khan
e.a.
Big Data Analytics with Applications in Insider Threat Detection
Gebonden Engels 2017 1e druk 9781498705479Levertijd ± 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9781498705479
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:544
Uitgever:CRC Press
Druk:1
Hoofdrubriek:Automatisering algemeen, Computer en informatica
Lezersrecensies
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Inhoudsopgave
Supporting Technologies. Introduction. Data Mining Techniques. Cyber Security and Malware. Data Mining for Malware Detection. Conclusion. Stream-Based Novel Class Detection. Stream Mining. Novel Class Detection Problem. SNOD. Conclusion. Reactively Adaptive Malware. Reactively Adaptive Malware. RAMAL Design. RAMAL Implementation. SNODMAL. Introduction. SNODMAL Design. SNODMAL Implementation. SNODMAL FOR RAMAL. SNODMAL Extensions. Introduction. SNODMAL on the Cloud. SNODCAL. SNODMAL++. Conclusion. Summary and Directions. References. Appendix A: Data Management Systems. Appendix B: Malware Products.
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