LogoSENSE: A companion HOG based logo detection scheme for phishing web page and E-mail brand recognition

AS Bozkir, M Aydos - Computers & Security, 2020 - Elsevier
With the advent of Internet and opportunities in e-commerce, a visual perception oriented
cyber-attack so-called phishing has become one of the tremendous problems of the cyber …

[HTML][HTML] Ransomware detection system for Android applications

S Alsoghyer, I Almomani - Electronics, 2019 - mdpi.com
Android ransomware is one of the most threatening attacks nowadays. Ransomware in
general encrypts or locks the files on the victim's device and requests a payment in order to …

[BOK][B] Defending cyber systems through reverse engineering of criminal malware

M Omar - 2022 - Springer
This SpringerBrief discusses underlying principles of malware reverse engineering and
introduces the major techniques and tools needed to effectively analyze malware that …

Static malware analysis using machine learning algorithms on APT1 dataset with string and PE header features

N Balram, G Hsieh, C McFall - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Static malware analysis is used to analyze executable files without executing the code to
determine whether a file is malicious or not. Data analytic and machine learning techniques …

Androidgyny: Reviewing clustering techniques for Android malware family classification

TSR Pimenta, F Ceschin, A Gregio - Digital Threats: Research and …, 2024 - dl.acm.org
Thousands of malicious applications (apps) are created daily, modified with the aid of
automation tools, and released on the World Wide Web. Several techniques have been …

Principles of Code-Level Analysis

M Omar - … Cyber Systems through Reverse Engineering of …, 2022 - Springer
Static properties analysis and behavioral analysis are excellent techniques to understand
the basic characteristics and functionality of malware; however, these techniques alone do …

Analyzing various machine learning algorithms for the classification of malwares

J Pavithra, JSF Josephin - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
Abstract Malware, brief for Malicious Software, is increasing continuously in amounts and
sophistication as our digital world continues to develop. Lately, tools for forming malware …

[HTML][HTML] Multi-class Sentiment Analysis of COVID-19 Tweets by Machine Learning and Deep Learning Approaches

M Moustafa, SA Mokhtar-Mostefaoui… - Computación y …, 2024 - scielo.org.mx
COVID-19 is a virus that has spread rapidly over the globe. The condition has repercussions
beyond the realm of public health. Twitter is one platform where people post reactions to …

Using dtrace for machine learning solutions in malware detection

AM KP, S Chandran, G Gressel… - 2020 11th …, 2020 - ieeexplore.ieee.org
Malware cannot be ignored today as evidenced by the havoc created by Wannacry
[29],[12],[23]. Every day malicious actors are writing more intelligent malware. The attacks …

Permission weighting approaches in permission based android malware detection

OE Kural, DÖ Şahin, S Akleylek… - 2019 4th International …, 2019 - ieeexplore.ieee.org
With the increasing use of mobile devices in daily life, the number of malware running on
mobile devices is increasing. Increased malware may cause material and non-pecuniary …