IDSpoof: intrusion detection to detect malware / Muhammad Khairie Ismail
Nowadays, people all over the world like to store their data over the Internet because it is easy for them to retrieve and store it. Unfortunately, they are exposed to the cyber-crime like data theft because of the lack of security in their device. People usually did not have a security tool for the...
Saved in:
Main Author: | Ismail, Muhammad Khairie |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/107904/1/107904.pdf https://ir.uitm.edu.my/id/eprint/107904/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A score based malware classification approach for mobile forensic analysis
by: Gobi, Ramyaa
Published: (2019) -
Computer Crimes Act 1997 v Computer Misuse Act 1993: the effectiveness in curbing hackers / Effa Suzieana Zainal, Nor Haslina Ismail and Nur Asyikin Mansoor.
by: Zainal, Effa Suzieana, et al.
Published: (2007) -
Cybercrime through love scams: what women should know? / Farah Safura Muhammud and Hamizah Muhammad
by: Muhammud, Farah Safura, et al.
Published: (2022) -
Machine Learning Malware Detection For Android
by: Amir Muhammad Hafiz, Othman
Published: (2022) -
Improvising Intrusion Detection for Malware
Activities on Dual-Stack Network Environment
by: Muslim, Z., et al.
Published: (2012)