An improved malware detection framework
The detection of malware intrusion requires the identification of its signature. However, cyber security practitioners are having difficulty to manually detect signature-based malware due to the increasing number of malware. As a consequence, malware are only detected after an incident has occurred....
Saved in:
Main Author: | Aswami Fadillah, Ahmad Naim Irfan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/108009/1/AhmadNaimIrfanAswamiFadillahMFTIR2020.pdf.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A study of generation Y attitude towards usage of internet for e-commerce in MSC landmark, Kuala Lumpur & Selangor state
by: Luthfi, Harvi Muhammad
Published: (2014) -
E-mail encryption framework for Malaysian public sector
by: Muhammad, Nur Atiqah
Published: (2016) -
A new conceptual framework of tawhidic based Islamic mobile application for developers (T-iMAD)
by: Mohd Fitri, Yusoff
Published: (2022) -
An enhanced sequential exception technique for semantic-based text anomaly detection
by: Taiye, Mohammed Ahmed
Published: (2019) -
An embedding traid-bit method to improve the performance of Arabic text steganography
by: Thabit, Reema Ahmed Abdalla
Published: (2016)