Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat

Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat

Currently, the size of malware grows faster each year and poses a thoughtful global security threat. The number of malware developed is increasing as computers became interconnected, at an alarming rate in the 1990s. This scenario caused a rising number of malware. It also caused many protections ar...

Saved in:

书目详细资料
主要作者:	Selamat, Nur Syuhada
格式:	Thesis
语言:	English
出版:	2021
主题:	Electronic Computers Computer Science
在线阅读:	https://ir.uitm.edu.my/id/eprint/59811/1/59811.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

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

A comparative study of machine learning methods for android malware detection /
由: Fairuz Amalina Narudin
出版: (2015)

Supervised machine learning approach for detection of malicious executables
由: Ahmed, Yahye Abukar
出版: (2013)

MalSketch - A machine learning-based malware behaviour analysis framework
由: Chanderan, Navein
出版: (2019)

Metamorphic malware detection using machine learning
由: Ahmed Ali, Mohammed Hasan Ali
出版: (2020)

A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features
由: Keshkeh, Kinan
出版: (2022)

Intelligent web proxy caching based on supervised machine learning
由: Ali Ahmed, Waleed
出版: (2012)

Permission extraction framework for android malware detection
由: Ghasempour, Ali
出版: (2019)

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

A malware analysis and detection system for mobile devices /
由: Feizollah, Ali
出版: (2017)

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

A visually-verifiable malware classification framework using malware behaviour image
由: Mohd. Shaid, Syed Zainudeen
出版: (2014)

An adaptive intrusion detection model for dynamic network traffic patterns using machine learning techniques
由: Zainal, Anazida
出版: (2011)

Enhanced cuckoo malware analysis performance using cloud computing
由: Barakat, Osamah Lutf Hamood
出版: (2013)

Facial emotion detection using supervised neural networks /
由: Soltani, Fereshteh
出版: (2009)

Obstacle detection for visually impaired people using machine learning /
由: Nabilah Syuhada Ishak
出版: (2020)

Mobile malware anomaly-based detection systems using static analysis features /
由: Ahmad Firdaus Zainal Abidin
出版: (2017)

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

Cross-lingual sentiment classification using semi-supervised learning
由: Hajmohammadi, Mohammad Sadegh
出版: (2015)

Android mobile malware detection model based on permission features using machine learning approach
由: Sharfah Ratibah, Tuan Mat
出版: (2022)

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

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

Factors that influence economic growth in Vietnam / Nur Syuhada Rosli
由: Rosli, Nur Syuhada
出版: (2022)

Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
由: Abdul Wahit, Mohamad Aizat
出版: (2019)

Behavior 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 /
由: Syed Mohd Hazrul bin Syed Salim
出版: (2013)

A malware risk analysis and detection system for mobile devices using permission-based features /
由: Mohd Faizal Ab Razak
出版: (2018)

A framework for malware identification based on behavior
由: Mohamad Fadli, Zolkipli
出版: (2012)

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
由: Syed Mohd Hazrul Syed Salim,
出版: (2013)

Supervised optimal decision machine learning approach to class and method-level data preprocessing towards effective software defect prediction /
由: Felix, Ebubeogu Amarachukwu
出版: (2020)

An HTTP-based botnet detection using machine learning techniques /
由: Meratishirazi, Hamed
出版: (2017)

Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
由: Mazlan, Nurul Hidayah
出版: (2019)

An improved malware detection framework
由: Aswami Fadillah, Ahmad Naim Irfan
出版: (2020)

An artificial co-stimulation classifier for malicious API calls classification in portable executable malwares /
由: Abdulla, Saman Mirza
出版: (2013)

Computer aided instruction for three phase induction machine / Mohd Supian Selamat
由: Selamat, Mohd Supian
出版: (1999)

Analyzing malware log files for internet access investigation using Hadoop
由: Mat Deli, Mohd. Sharudin
出版: (2017)

Fraudulent detection model using machine learning techniques for unstructured supplementary service data
由: Olugbenga, Akinje Ayorinde
出版: (2021)

Antecedent factors of knowledge sharing in research supervision
由: Khosravi, Arash
出版: (2013)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification
由: Howida AbuBaker, Al-Kaaf
出版: (2022)

An Innovative Signature Detection System for Polymorphic and Monomorphic Internet Worms Detection and Containment
由: Rasheed, Mohammad M.
出版: (2012)

An evaluation study of mobile Botnet detection using machine learning classifiers /
由: Feizollah, Ali
出版: (2014)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group