Root exploit detection and features optimization: mobile device and blockchain based medical data management
The increasing demand for Android mobile devices and blockchain has motivated malware
creators to develop mobile malware to compromise the blockchain. Although the blockchain …
creators to develop mobile malware to compromise the blockchain. Although the blockchain …
[PDF][PDF] Checking more and alerting less: detecting privacy leakages via enhanced data-flow analysis and peer voting.
Serious concerns have been raised about stealthy disclosures of private user data in
smartphone apps, and recent research efforts in mobile security have studied various …
smartphone apps, and recent research efforts in mobile security have studied various …
An android malware detection approach using weight-adjusted deep learning
Smartphones recently become an indispensable part of our daily lives. Among various
smartphones, Android-based smartphone has become a most popular choice because of …
smartphones, Android-based smartphone has become a most popular choice because of …
[PDF][PDF] Anomaly detection in computer networks: A state-of-the-art review.
SWAH Baddar, A Merlo, M Migliardi - J. Wirel. Mob. Networks …, 2014 - jowua.com
The ever-lasting challenge of detecting and mitigating failures in computer networks has
become more essential than ever; especially with the enormous number of smart devices …
become more essential than ever; especially with the enormous number of smart devices …
Malscan: Fast market-wide mobile malware scanning by social-network centrality analysis
Malware scanning of an app market is expected to be scalable and effective. However,
existing approaches use either syntax-based features which can be evaded by …
existing approaches use either syntax-based features which can be evaded by …
Riskmon: Continuous and automated risk assessment of mobile applications
Mobile operating systems, such as Apple's iOS and Google's Android, have supported a
ballooning market of feature-rich mobile applications. However, helping users understand …
ballooning market of feature-rich mobile applications. However, helping users understand …
Identifying cyber threats to mobile-IoT applications in edge computing paradigm
The malware has become an increasing problem for Mobile-Internet of Things applications
in edge computing platform. Variants of malware can be identified once their general …
in edge computing platform. Variants of malware can be identified once their general …
RThreatDroid: A ransomware detection approach to secure IoT based healthcare systems
MJ Iqbal, S Aurangzeb, M Aleem… - … on Network Science …, 2022 - ieeexplore.ieee.org
The use of smartphone devices in healthcare has increased manifold due to their
widespread use and ease of integration with Internet of Things (IoT) based medical devices …
widespread use and ease of integration with Internet of Things (IoT) based medical devices …
Towards predictive analysis of android vulnerability using statistical codes and machine learning for IoT applications
J Cui, L Wang, X Zhao, H Zhang - Computer Communications, 2020 - Elsevier
Abstract Recently, the Internet of Things (IoT) technology is used for several applications for
exchanging information among various devices. The intelligent IoT based system utilizes an …
exchanging information among various devices. The intelligent IoT based system utilizes an …
AdDroid: rule-based machine learning framework for android malware analysis
Recent years have witnessed huge growth in Android malware development. Colossal
reliance on Android applications for day to day working and their massive development …
reliance on Android applications for day to day working and their massive development …