Popularity and openness have made the Android platform a potential target of malware
attacks. The hackers continuously evolve and improve attacking strategies to identify …

A Survey of Machine Learning Algorithms and Their Application in Information Security |
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Profile hidden Markov models (pHMMs) are widely employed in various bioinformatics
applications to identify similarities between biological sequences, such as DNA or protein …

The prevalence of malware on the Internet makes malware detection vital as an early
warning system for organizations' security. This paper presents a novel approach to linking …

Early detection is crucial to mitigate the impact of emerging threats. This work proposes four
innovative frameworks that build machine learning and deterministic epidemiological …

The prevalence of malware attacks that target IoT systems has raised an alarm and
highlighted the need for efficient mechanisms to detect and defeat them. However, detecting …

In recent years the number of new malware threats has increased significantly, causing a
damage of billions of dollars globally. To counter this aggressive malware attack, the anti …

There exist different methods of malware identification, while the most common is signature-
based used by anti-virus vendors that includes one-way cryptographic hash sums to …

The phenomenon of information security threats increases every day. The statistical reports
from antivirus companies show that attackers use malicious applications as one of the major …

Profile Hidden Markov Models (PHMM) have been used to detect malware samples based
on their behavior on the host system and obtained promising results. Since PHMMs are a …