A survey on encrypted network traffic analysis applications, techniques, and countermeasures

E Papadogiannaki, S Ioannidis - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The adoption of network traffic encryption is continually growing. Popular applications use
encryption protocols to secure communications and protect the privacy of users. In addition …

A comprehensive survey on machine learning techniques for android malware detection

V Kouliaridis, G Kambourakis - Information, 2021 - mdpi.com
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the
open source Android platform continues to dominate the market, malware writers consider it …

Evaluation of machine learning classifiers for mobile malware detection

FA Narudin, A Feizollah, NB Anuar, A Gani - Soft Computing, 2016 - Springer
Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

PermPair: Android Malware Detection Using Permission Pairs

A Arora, SK Peddoju, M Conti - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The Android smartphones are highly prone to spreading the malware due to intrinsic
feebleness that permits an application to access the internal resources when the user grants …

Mobile malware attacks: Review, taxonomy & future directions

A Qamar, A Karim, V Chang - Future Generation Computer Systems, 2019 - Elsevier
A pervasive increase in the adoption rate of smartphones with Android OS is noted in recent
years. Android's popular and attractive environment not only captured the attention of users …

Androdialysis: Analysis of android intent effectiveness in malware detection

A Feizollah, NB Anuar, R Salleh, G Suarez-Tangil… - computers & …, 2017 - Elsevier
The wide popularity of Android systems has been accompanied by increase in the number
of malware targeting these systems. This is largely due to the open nature of the Android …

Recurrent neural network model for IoT and networking malware threat detection

M Woźniak, J Siłka, M Wieczorek… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Security of networking in cyber-physical systems is an important feature in recent computing.
Information that comes to the network needs preevaluation. Our solution presented in this …

A review on feature selection in mobile malware detection

A Feizollah, NB Anuar, R Salleh, AWA Wahab - Digital investigation, 2015 - Elsevier
The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

Machine learning based mobile malware detection using highly imbalanced network traffic

Z Chen, Q Yan, H Han, S Wang, L Peng, L Wang… - Information …, 2018 - Elsevier
In recent years, the number and variety of malicious mobile apps have increased drastically,
especially on Android platform, which brings insurmountable challenges for malicious app …

Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …