Search Results - (( java implication based algorithm ) OR ( programming based malware algorithm ))

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.

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

Empirical study on intelligent android malware detection based on supervised machine learning by Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

“…In response, specific tools and anti-virus programs used conventional signature-based methods in order to detect such Android malware applications. …”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Coordinated Malware Eradication And Remediation Project (CMERP) by Abdollah, Mohd Faizal, S.M.M Yassin, S.M.Warusia Mohamed, Mas’ud, Mohd Zaki, Selamat, Siti Rahayu, Yusof, Robiah, Ahmad, Rabiah, Shahrin @ Sahibuddin, Shahrin

“…Therefore, integrated machine learning techniques comprises J48 and JRip are proposed as a solution in distinguish malware behaviour more accurately. This integrated classifier algorithm applied to analyse, classify and generate rules of the pattern and program behaviour of system call information in which the legal and illegal behaviours could identified. …”
Get full text
Get full text
Get full text

A Preemptive behaviour-based malware detection through analysis of API calls sequence inspired by Human Immune System by Mohd Fadzli Marhusin, Lokan C.J.

Scrutinized System Calls Information Using J48 And Jrip For Malware Behaviour Detection by Abdollah, Mohd Faizal, S. M. M Yassin, S. M. Warusia Mohamed, Mohd Saudi, Nur Hidayah

“…Therefore, integrated machine learning techniques comprise J48 and Jrip are proposed as a solution to distinguish malware behaviour more accurately. This integrated classifier algorithm applied to analyse, classify and generate rules of the pattern and program behaviour of system call information in which, the legal and illegal behaviours could identify. …”
Get full text
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush