Framework to detect analyze and report zero-day malware with minimum false posit

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TextLanguage: English Publication details: 2018Description: xiii,151p CD-ROMSubject(s):

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Dissertation note: This dissertation belongs to Department of Computer Science & Engineering

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Item type	Current library	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Thesis & Dissertations	Central Library, NIT Jalandhar Reference	Central Library, NIT Jalandhar	Reference	006.37 KA-F (Browse shelf(Opens below))		Available		TH011164

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Previous	006.3 BH-I Impact analysis of data quality issues on software fault prediction	006.3 TH-M Modeling and analysis of qos aspects in cloud computing environment.	006.31 AA-F Fault prediction using machine learning techniques	006.37 KA-F Framework to detect analyze and report zero-day malware with minimum false posit	006.37 TA-N Novel approach for karyotype generation from chromosome images	006.42 PO-R Recognition of news ticker gurmukhi text from videos	333.794 KU-S Studies on performance of biomass cookstoves using energy approach	Next

This dissertation belongs to Department of Computer Science & Engineering