Search Results - (( developing based malware algorithm ) OR ( java application testing algorithm ))

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

“…This scenario caused a rising number of malware. It also caused many protections are developed to fight the malware. …”
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Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.] by Mohd Fuzi, Mohd Faris, Mohd Shahirudin, Syamir, Abd Halim, Iman Hazwam, Jamaluddin, Muhammad Nabil Fikri

“…This study's major objective is to compare the best-supervised ML algorithms for malware detection based on detection accuracy. …”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

“…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”

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

A new mobile malware classification for call log exploitation by Madihah Mohd Saudi, Nurlida Basir, Mohd N.F.

A New Mobile Malware Classification for SMS Exploitation by Zaizi, NJM, Khailani, A, Madihah Mohd Saudi

Enhancement Of Static Code Analysis Malware Detection Framework For Android Category-Based Application by Aminordin, Azmi

“…The result shows that the detection of malware within application category achieves higher accuracy compared to application with non-category based. …”
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A new mobile malware classification for SMS exploitation by Zaizi N.J.M., Khailani A., Madihah Mohd Saudi

“…This research has developed a new mobile malware classification for Android smartphone using a covering algorithm. …”

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

BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

Preliminary analysis of malware detection in opcode sequences within IoT environment by Ahmed, Firas Shihab, Mustapha, Norwati, Mustapha, Aida, Kakavand, Mohsen, Mohd Foozy, Cik Feresa

“…This paper attempts to provide a preliminary analysis for malware detection within data generated by IoT-based devices and services in the form of operational codes (Opcode) sequences. …”
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Android Mobile Malware Surveillance Exploitation via Call Logs: Proof of Concept by Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan, Nurlida Basir, Sakinah Ali Pitchay, Nabila N.F., Ahmad I.N.

Detecting Malware with Classification Machine Learning Techniques by Mohd Yusof, Mohd Azahari, Abdullah, Zubaile, Hamid Ali, Firkhan Ali, Mohamad Sukri, Khairul Amin, Shaker Hussain, Hanizan

“…Overall, this research underscores the potential of machine learning approaches for detecting malware and offers valuable guidance for the development of successful malware detection systems.…”
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Detecting Malware with Classification Machine Learning Techniques by Mohd Yusof, Mohd Azahari, Abdullah, Zubaile, Hamid Ali, Firkhan Ali, Mohamad Sukri, Khairul Amin, Shaker Hussain, Hanizan

“…Overall, this research underscores the potential of machine learning approaches for detecting malware and offers valuable guidance for the development of successful malware detection systems.…”
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

“…This research presents a mobile malware static detection method based on Naive Bayes. …”
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Malware visualizer: A web apps malware family classification with machine learning by Mohd Zamri, Osman, Ahmad Firdaus, Zainal Abidin, Rahiwan Nazar, Romli

“…Other than that, most of the solution focuses on the android apk file, instead of visualizing the apk into image-based form. The objective of this project is to build a web apps to classify malware by transforming the apk file into image-based representation. …”
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Empirical study on intelligent android malware detection based on supervised machine learning by Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

“…In recent years, several Android malware applications were developed to perform certain illegitimate activities and harmful actions on mobile devices. …”
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An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection by Shing, Chiang Tan, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Lim, Pey, Yun Goh, Chee, Peng Lim

“…In addition, DL-based malware detection methods often entail single classifiers. …”
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A deep Learning Approach to Malware detection in android platform by Corrine, Francis

“…As a matter of fact, the development of malware had begun soaring as more and more unknown malware were discovered. …”
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Android malware detection using permission based static analysis by Mohd Ariffin, Noor Afiza, Casinto, Hanna Pungo

“…There have been many studies on permission-based Android malware detection. In this study, a permission-based Android malware system is analyzed. …”
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