A comparative study of machine learning methods for android malware detection /

A comparative study of machine learning methods for android malware detection /

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fairuz Amalina Narudin (مؤلف)
التنسيق:	أطروحة كتاب
اللغة:	English
منشور في:	2015.
الموضوعات:	Androids. Malware (Computer software) Computer security. Machine learning.
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Mobile malware anomaly-based detection systems using static analysis features /
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منشور في: (2017)

Android malware detection with ensemble of androidmanifest features
بواسطة: Mohammad Salehi, .
منشور في: (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 /
بواسطة: Syed Mohd Hazrul bin Syed Salim
منشور في: (2013)

A behaviour-based analytical malware detection framework for android smartphones
بواسطة: Damshenas, Mohsen
منشور في: (2014)

Permission extraction framework for android malware detection
بواسطة: Ghasempour, Ali
منشور في: (2019)

Operating system kernel malware characterization using data-centric approach
بواسطة: Mohamad Har, Harmi Armira
منشور في: (2018)

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

A malware analysis and detection system for mobile devices /
بواسطة: Feizollah, Ali
منشور في: (2017)

A dynamic malware detection in cloud platform
بواسطة: Lee, Nani Yer Fui
منشور في: (2019)

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

Design of cloud-enabled cross-platform malware analysis systems
بواسطة: Najafabadi, Seyed Abdolrahman Mousavian
منشور في: (2016)

ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation
بواسطة: Muhammad ‘Afif Bin Husainiamer

Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
بواسطة: Intan Nurfarahin Binti Ahmad

A rooting detection system and risk assessment for android mobile devices /
بواسطة: Elsersy, Wael Farouk Mohamed
منشور في: (2022)

Anomaly detection in system log files using machine learning algorithms /
بواسطة: Zamanian, Zahedeh
منشور في: (2019)

An evaluation study of mobile Botnet detection using machine learning classifiers /
بواسطة: Feizollah, Ali
منشور في: (2014)

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

Improving malicious detection rate for Facebook application in OSN platform
بواسطة: Angamuthu, Laavanya
منشور في: (2018)

Detection on ambiguous software requirements specification written in malay using machine learning
بواسطة: Zahrin, Mohd Firdaus
منشور في: (2017)

A framework for software defect prediction using machine learning techniques /
بواسطة: Heydari, Hamed
منشور في: (2014)

Detecting Arabic terrorism messages on Twitter using machine learning /
بواسطة: Alharbi, Norah Muteb S
منشور في: (2019)

Contact tracing strategy to isolate infectious bots in mitigating iot botnet propagation and preserve object of forensic interest
بواسطة: Ibrahim, Mohammed
منشور في: (2021)

e-haruManis: A modern Harumanis plants using Android application / Nursyafiqah Nik Nadzlee
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منشور في: (2022)

Mobile tracking system on android using global positioning system / Nik Mohd Faris Nik Kamarudin
بواسطة: Nik Kamarudin, Nik Mohd Faris
منشور في: (2013)

An optimized feature set for anomaly-based intrusion detection /
بواسطة: Hassan, Wasswa
منشور في: (2019)

An HTTP-based botnet detection using machine learning techniques /
بواسطة: Meratishirazi, Hamed
منشور في: (2017)

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

Graphical user interface test case generation for android apps using Q-learning /
بواسطة: Yasin, Husam N. S.
منشور في: (2021)

Food pre-ordering system with customer feedback using android (FoPOS) / Mohamad Yusri Awang
بواسطة: Awang, Mohamad Yusri
منشور في: (2015)

Atlas Engineering Consultant (AEC) management with android application / Mohammad Zikri Ahmad Sharif
بواسطة: Ahmad Sharif, Mohammad Zikri
منشور في: (2013)

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

The effectiveness of detection methods in intrusion detection systems /
بواسطة: Hafiz Mohd Sarim
منشور في: (2002)

A forensics acquisition method of WhatsApp data on Android smartphone
بواسطة: Muzakir, Ummu Khosyatillah
منشور في: (2018)

Predicting the outcomes of football matches using machine learning techniques /
بواسطة: Haruna, Usman
منشور في: (2015)

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
بواسطة: Syed Mohd Hazrul Syed Salim,
منشور في: (2013)

Bio-inspired computing paradigms in predicting mobile malware /
بواسطة: Firdaus Afifi Md Isa
منشور في: (2017)

Object detection in 3D reconstructed environment using hierarchical growing neural gas /
بواسطة: Nooralishahi, Parham
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The effectiveness of detection methods in intrusion detection systems /
بواسطة: Hafiz Mohd Sarim
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Automated scanned receipt processing with optical character recognition and machine learning /
بواسطة: Hor, Zhang Neng
منشور في: (2022)

Pengkelasan corak perisian hasad menggunakan rangkaian neural perlingkaran berulang /
بواسطة: Mudzfirah Abdul Halim

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