Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version)
As Android has become increasingly popular, so has malware targeting it, thus motivating
the research community to propose different detection techniques. However, the constant …
the research community to propose different detection techniques. However, the constant …
Android malware familial classification and representative sample selection via frequent subgraph analysis
The rapid increase in the number of Android malware poses great challenges to anti-
malware systems, because the sheer number of malware samples overwhelms malware …
malware systems, because the sheer number of malware samples overwhelms malware …
Gsdroid: Graph signal based compact feature representation for android malware detection
R Surendran, T Thomas, S Emmanuel - Expert Systems with Applications, 2020 - Elsevier
Android malwares have evolved in sophistications and intelligence to become more and
more evasive to existing detection systems especially those that are signature-based …
more evasive to existing detection systems especially those that are signature-based …
A qualitative analysis of android taint-analysis results
In the past, researchers have developed a number of popular taint-analysis approaches,
particularly in the context of Android applications. Numerous studies have shown that …
particularly in the context of Android applications. Numerous studies have shown that …
Andrensemble: Leveraging api ensembles to characterize android malware families
Assigning family labels to malicious apps is a common practice for grouping together
malware with identical behavior. However, recent studies show that apps labeled as …
malware with identical behavior. However, recent studies show that apps labeled as …
AppSpear: Automating the hidden-code extraction and reassembling of packed android malware
Code packing is one of the most frequently used protection techniques for malware to evade
detection. Particularly, Android packers originally designed to protect intellectual property …
detection. Particularly, Android packers originally designed to protect intellectual property …
TriDroid: a triage and classification framework for fast detection of mobile threats in android markets
The Android platform is highly targeted by malware developers, which aim to infect the
maximum number of mobile devices by uploading their malicious applications to different …
maximum number of mobile devices by uploading their malicious applications to different …
[PDF][PDF] Blockchain-based Deep Learning Algorithm for Detecting Malware.
D Denysiuk, O Geidarova, M Kapustian, S Lysenko… - IntelITSIS, 2023 - ceur-ws.org
Nowadays malware detection is a very important task in information security. Criminals are
constantly looking for new ways to attack computer networks and systems, so it is important …
constantly looking for new ways to attack computer networks and systems, so it is important …
FloVasion: towards detection of non-sensitive variable based evasive information-flow in android apps
B Buddhadev, P Faruki, MS Gaur… - IETE Journal of …, 2022 - Taylor & Francis
Smartphones are enriched by applications (apps) available through the mobile ecosystem.
Various studies have reported that apps leaking sensitive user and device information are …
Various studies have reported that apps leaking sensitive user and device information are …
SVM-based technique for mobile malware detection
S Lysenko, K Bobrovnikova, A Nicheporuk… - CEUR Workshop …, 2019 - elibrary.ru
A paper presents a new technique for the mobile malware detection based on the malware's
network features analysis is proposed. It uses SVM for malicious programs detection. The …
network features analysis is proposed. It uses SVM for malicious programs detection. The …