Hardware implementation of naive bayes classifier for malware detection /

Hardware implementation of naive bayes classifier for malware detection /

Show other versions (1)

Bibliographic Details
Main Author:	Al Hussein,Yahya Khaled 1999-, author 646104
Format:	text
Language:	eng
Published:	Johor Bahru, Johor : Universiti Teknologi Malaysia, 2021
Subjects:	Malware (Computer software)

Similar Items

Hardware implementation of naive bayes classifier for malware detection /
by: Al Hussein,Yahya Khaled 1999-, author 646104, et al.
Published: (2021)

Naive bayes classification with domain knowledge for new malware variants and stateless packet level detection /
by: Ismahani Ismail, 1980-, author 557878, et al.
Published: (2013)

Hardware implementation of naive bayes classifier for malware detection
by: Al Hussein, Yahya Khaled
Published: (2021)

Machine learning approach to malware classifications / detection /
by: Fadzlie Aimi Mohd. Zain, 1986-, et al.
Published: (2011)

AN IMPROVED MALWARE DETECTION FRAMEWORK /
by: Ahmad Naim Irfan Asmawi Fadillah, author 654415, et al.
Published: (2020)

AN IMPROVED MALWARE DETECTION FRAMEWORK /
by: Ahmad Naim Irfan Asmawi Fadillah, author 654415, et al.
Published: (2020)

Machine learning approach to malware classifications / detection [electronic resource] /
by: Fadzlie Aimi Mohd. Zain, 1986-, et al.
Published: (2011)

A behaviour-based analytical malware detection framework for android smartphones
by: Damshenas, Mohsen
Published: (2014)

Malware behaviour profiling from unstructured data /
by: Chiam, Yoong Jien, 1994-, author, et al.
Published: (2019)

Malware behaviour profiling from unstructured data /
by: Chiam, Yoong Jien, 1994-, author, et al.
Published: (2019)

Android malware detection with ensemble of androidmanifest features
by: Mohammad Salehi, .
Published: (2019)

A dynamic malware detection in cloud platform
by: Lee, Nani Yer Fui
Published: (2019)

Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
by: Abdul Razak, Aina Nabila
Published: (2019)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification /
by: Howida Abubaker Al-Kaaf, 1980- author 646298, et al.
Published: (2022)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification
by: Al-Kaaf, Howida AbuBaker
Published: (2023)

Behaviour analysis and development of the detection algorithm and application prototype to detect the presence of the premium short message service(SMS) abusers malware on the android platform /
by: Syed Mohd Hazrul Syed Salim, et al.
Published: (2013)

Advances in detection and analysis of modern evasive malware
by: Barr-Smith, F
Published: (2023)

Malware Analysis Techniques: Tricks for the triage of adversarial software /
by: Barker, Dylan, author
Published: (2021)

Malware, rootkits & botnets : a beginner's guide /
by: Elisan, Christopher C. QA76.76.C68
Published: (2013)

Analyzing temporal graphs of malware distribution networks
by: Jose Andre Morales, et al.
Published: (2022-07-01)

The threat of screenshot-taking malware: analysis, detection and prevention
by: Sbai, H
Published: (2022)

Design of cloud-enabled cross-platform malware analysis systems
by: Najafabadi, Seyed Abdolrahman Mousavian
Published: (2016)

Operating system kernel malware characterization using data-centric approach
by: Mohamad Har, Harmi Armira
Published: (2018)

Malware analyst's cookbook and DVD : tools and techniques for fighting malicious code /
by: Ligh, Michael Hale
Published: (c201)

The art of memory forensics : detecting malware and threats in Windows, Linux, and Mac memory /
by: Ligh, Michael Hale, author, et al.
Published: (2014)

Malware forensics field guide for Linux systems : digital forensics field guides /
by: 196891 Malin, Cameron H., et al.
Published: (2014)

Malware analyst's cookbook and DVD [electronic resource] : tools and techniques for fighting malicious code /
by: Ligh, Michael Hale
Published: (c201)

MADRAS-NET: A deep learning approach for detecting and classifying android malware using Linknet
by: Yi Wang, et al.
Published: (2024-06-01)

String-based representation techniques for malware detection model
by: Mohammed, Gamal Abdel Nassir Awad Ali
Published: (2024)

Permission extraction framework for android malware detection
by: Ghasempour, Ali
Published: (2019)

Mastering Malware Analysis : A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks /
by: Kleymenov, Alexey, author, et al.
Published: (2022)

FEATURE SELECTIION TECHNIQUE FOR ANDROID MALWARE CLASSIFICATION ON DATA SECTION IMAGE PATTERN /
by: Fauzi Mohd Darus, author 277767, et al.
Published: (2022)

FEATURE SELECTIION TECHNIQUE FOR ANDROID MALWARE CLASSIFICATION ON DATA SECTION IMAGE PATTERN /
by: Fauzi Mohd Darus, author 277767, et al.
Published: (2022)

Evaluation of Survivability of the Automatically Obfuscated Android Malware
by: Himanshu Patel, et al.
Published: (2022-05-01)

Advances in Malware and Data-Driven Network Security /
by: Gupta, Brij B., 1982-, editor 651941, et al.
Published: (2022)

Classifying malware attacks in IaaS cloud environments
by: Noëlle Rakotondravony, et al.
Published: (2017-12-01)

A Comprehensive Review on Malware Detection Approaches
by: Omer Aslan, et al.
Published: (2020-01-01)

A Survey on Hardware-Based Malware Detection Approaches
by: Cristiano Pegoraro Chenet, et al.
Published: (2024-01-01)

Multi-computer malware detection systems with metamorphic functionality
by: Antonina Kashtalian, et al.
Published: (2024-02-01)

Malware Detection Issues, Challenges, and Future Directions: A Survey
by: Faitouri A. Aboaoja, et al.
Published: (2022-08-01)