+2 MM articles scientifics and academics

156 Articles

1 of 17 pages | 10 records | more records»

Live Forensics Analysis Of Malware Identified Email Crimes To Increase Evidence Of Cyber Crime

Yudhi Prawira Prawira, Samsudin Samsudin

Now days Email is the most important aplplication on the internet, this make email one of the industry’s most targeted sector for commiting cyber crimes. Email phishing and spam not only harm many parties but also consumes a lot of network bandwidth... see more

Digtal Forensics | Email | Malware Emotet | Live Forensics | Digital Proof

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi , 2048

Free Access

Performance Improvement of Random Forest Algorithm for Malware Detection on Imbalanced Dataset using Random Under-Sampling Method

Fauzi Adi Rafrastara,Catur Supriyanto,Cinantya Paramita,Yani Parti Astuti,Foez Ahmed

Handling imbalanced dataset has their own challenge. Inappropriate step during the pre-processing phase with imbalanced data could bring the negative effect on prediction result. The accuracy score seems high, but actually there are many problems on recal... see more

Random forest | imbalanced dataset | random under-sampling | malware | classification.

Jurnal Informatika: Jurnal Pengembangan IT , 2023

Free Access

Deep Learning Based Malware Detection Tool Development for Android Operating System

Mahmut TOKMAK,Ecir Ugur KÜÇÜKSILLE,Utku KÖSE

In today's world that called technology age, smartphones have become indispensable for users in many areas such as internet usage, social media usage, bank transactions, e-mail, as well as communication. The Android operating system is the most popular op... see more

Android malware analysis | static analysis | dynamic analysis | hybrid analysis | deep learning

Brain: Broad Research in Artificial Intelligence and Neuroscience , 2021

Free Access

Utilizing Reverse Engineering Technique for A Malware Analysis Model

Amiruddin Amiruddin, Putri Nur Halimah Suryani, Shandika Dianaji Santoso, Muhammad Yusuf Bambang Setiadji

Purpose: Malicious software or malware is a real threat to the security of computer systems or networks. Researchers made various attempts to find information and knowledge about malware, including preventing or even eliminating it. One effort to detect i... see more

Analysis | Malware | Model | Reverse Engineering

Scientific Journal of Informatics , 2021

Free Access

Analisis dan Deteksi Malware dengan Metode Hybrid Analysis Menggunakan Framework MOBSF DOI : 10.36294/jurti.v4i2.1338| Abstract views : 509 times

Edward Tansen,Deris Wahyu Nurdiarto

Abstract - The increase in the popularity of smartphones is followed by an increase in the number of users each year. In this case, smartphones with the Android platform are still ranked number one in the percentage of the highest number of users in the w... see more

Android | Dynamic Analysis | Hybrid Analysis | Malware | Static Analysis

JURNAL TEKNOLOGI INFORMASI , 2020

Free Access

DRLDO A Novel DRL based De obfuscation System for Defence Against Metamorphic Malware

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

In this paper, we propose a novel mechanism to normalise metamorphic and obfuscated malware down at the opcode level and hence create an advanced metamorphic malware de-obfuscation and defence system. We name this system as DRLDO, for deep reinforcement l... see more

Adversarial Artificial Intelligence | Deep Reinforcement Learning | Metamorphic malware | De-obfuscation

Defence Science Journal , PP

Free Access

Optimizing Android Malware Detection Via Ensemble Learning

Abikoye Oluwakemi Christianah,Benjamin Aruwa Gyunka,Akande Noah Oluwatobi

Android operating system has become very popular, with the highest market share, amongst all other mobile operating systems due to its open source nature and users friendliness. This has brought about an uncontrolled rise in malicious applications targeti... see more

Android Malware Detection | Machine Learning Models | Base Learners | Ensemble Learner | Reverse Engineering

International Journal of Interactive Mobile Technologies (iJIM) , 2020

Free Access

Control Flow Graph Based Multiclass Malware Detection Using Bi-normal Separation

Akshay Kapoor, Sunita Dhavale

Control flow graphs (CFG) and OpCodes extracted from disassembled executable files are widely used for malware detection. Most of the research in static analysis is focused on binary class malware detection which only classifies an executable as benign or... see more

Bi normal separation | control flow graph | machine learning | malware detection

Defence Science Journal , PP

Free Access

Malware Detection Based on Permissions on Android Platform Using Data Mining

Tawfiq S. Barhoom,Mohammed I. Nasman

Due to the weak policy of submitting application to Google Play store, attackers developed malware to attack the users of the Android operating system with malware application or by including malicious code into applications. Researchers have been done in... see more

Journal of Engineering Research and Technology , 2016

Free Access

1 of 17 pages | 10 records | more records»