Results 41 to 50 of about 2,901,102 (167)

DroidDetector: Android Malware Characterization and Detection Using Deep Learning

Tsinghua Science and Technology, 2016
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are hidden in a large number of benign
Zhenlong Yuan, Yongqiang Lu, Yibo Xue
doaj   +1 more source

DroidEnemy: Battling adversarial example attacks for Android malware detection

Digital Communications and Networks, 2022
In recent years, we have witnessed a surge in mobile devices such as smartphones, tablets, smart watches, etc., most of which are based on the Android operating system. However, because these Android-based mobile devices are becoming increasingly popular,
Neha Bala, Aemun Ahmar, Wenjia Li, Fernanda Tovar, Arpit Battu, Prachi Bambarkar   +5 more
doaj   +1 more source

Continuous Learning for Android Malware Detection

CoRR, 2023
Machine learning methods can detect Android malware with very high accuracy. However, these classifiers have an Achilles heel, concept drift: they rapidly become out of date and ineffective, due to the evolution of malware apps and benign apps. Our research finds that, after training an Android malware classifier on one year's worth of data, the F1 ...
Yizheng Chen 0001, Zhoujie Ding, David A. Wagner 0001   +2 more
openaire   +3 more sources

Base Semantics—A Novel Approach for Minimizing Malware Detection Rules

SECURITY AND PRIVACY, Volume 9, Issue 6, November/December 2026.
ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of Things (IoT) environments, where device heterogeneity, resource constraints,
Khizar Hayat, Sadaf Hina, Fabiha Hashmat, Muhammad Husnain, Syed Ghazanfar Abbas, Ghalib A. Shah   +5 more
wiley   +1 more source

Static analysis framework for permission-based dataset generation and android malware detection using machine learning

EURASIP Journal on Information Security
Since Android is the popular mobile operating system worldwide, malicious attackers seek out Android smartphones as targets. The Android malware can be identified through a number of established detection techniques.
Amarjyoti Pathak, Th. Shanta Kumar, Utpal Barman   +2 more
doaj   +1 more source

DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection

Applied Sciences, 2023
Malicious apps specifically aimed at the Android platform have increased in tandem with the proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect.
Fatma Taher, Omar AlFandi, Mousa Al-kfairy, Hussam Al Hamadi, Saed Alrabaee   +4 more
doaj   +1 more source

An Improved Secure Blockchain‐Based Remote Patient Monitoring System With Role‐Based Access Control Using IPFS

Concurrency and Computation: Practice and Experience, Volume 38, Issue 19, October 2026.
ABSTRACTThis work presents a privacy‐preserving remote healthcare system that integrates blockchain technology with a root seed‐based pseudonymization mechanism and lightweight cryptographic controls. Addressing the privacy risks of public ledgers and the limited computational resources of medical IoT devices, the proposed system focuses strictly on ...
Hoc Minh Le, Özgür Öksüz
wiley   +1 more source

Partial Evaluation for Java Malware Detection [PDF]

, 2015
The fact that Java is platform independent gives hackers the opportunity to write exploits that can target users on any platform, which has a JVM implementation. Metasploit is a well-known source of Java exploits and to circumvent detection by Anti Virus
Andy King, King, Andy, Singh, Ranjeet, Ranjeet Singh   +3 more
core   +1 more source

Intelligent Approach for Android Malware Detection

KSII Transactions on Internet and Information Systems, 2015
As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions between malware apps and goodware apps.
Shubair Abdulla, Altyeb Altaher Altyeb
openaire   +2 more sources

Toward a Persona‐Driven Approach in Cybersecurity: Insights From a Systematic Literature Review

Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.
ABSTRACT In recent years, developing secure yet usable systems has been one of the top concerns in cybersecurity research and practice. Research indicates that many data breaches and other cybercrimes directed toward exploiting human factors could be prevented by an inclusive and human‐centered cybersecurity design.
Daria Levaniuk, Bilal Naqvi, Antti Knutas, Muhammad Azeem Akbar   +3 more
wiley   +1 more source