Zobrazeno 1 - 10
of 526
pro vyhledávání: '"android malware detection"'
Autor:
Naif Almakayeel
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract With the growing popularity of autonomous vehicles (AVs), confirming their safety has become a significant concern. Vehicle manufacturers have combined the Android operating system into AVs to improve consumer comfort. However, the diversity
Externí odkaz:
https://doaj.org/article/2ab16e75a48d43ada447b709dc1d4adb
Publikováno v:
EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-12 (2024)
Abstract 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. However, the issues pres
Externí odkaz:
https://doaj.org/article/335c67178cc94b919af15c829baeba12
Autor:
Kaithal Praveen Kumar, Sharma Varsha
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 2, Pp 142-155 (2024)
Malware remains a big threat to cyber security, calling for machine learning-based malware detection. Malware variations exhibit common behavioral patterns indicative of their source and intended use to enhance the existing framework’s usefulness.
Externí odkaz:
https://doaj.org/article/f54bd2c983354aecae730e646b76c9e0
Autor:
Ali Raza, Zahid Hussain Qaisar, Naeem Aslam, Muhammad Faheem, Muhammad Waqar Ashraf, Muhammad Naman Chaudhry
Publikováno v:
Applied AI Letters, Vol 5, Iss 3, Pp n/a-n/a (2024)
ABSTRACT Malware growth has accelerated due to the widespread use of Android applications. Android smartphone attacks have increased due to the widespread use of these devices. While deep learning models offer high efficiency and accuracy, training t
Externí odkaz:
https://doaj.org/article/10bc7096e7104866b1144ee68f0d13cc
Publikováno v:
Telematics and Informatics Reports, Vol 14, Iss , Pp 100130- (2024)
The ever-increasing growth of online services and smart connectivity of devices have posed the threat of malware to computer system, android-based smart phones, Internet of Things (IoT)-based systems. The anti-malware software plays an important role
Externí odkaz:
https://doaj.org/article/60a5c76bc9714abea0914b825801eb67
Publikováno v:
IEEE Access, Vol 12, Pp 134779-134808 (2024)
To mitigate the rising threat of Android malware, researchers have been actively looking for mechanisms that will enable rapid and accurate malware detection. Recently, attention has been paid to the use of audio-based features derived through the us
Externí odkaz:
https://doaj.org/article/e35aee208f314910a054d8a689d8064b
Autor:
Nahier Aldhafferi
Publikováno v:
Information, Vol 15, Iss 10, p 658 (2024)
Mobile devices face significant security challenges due to the increasing proliferation of Android malware. This study introduces an innovative approach to Android malware detection, combining Support Vector Regression (SVR) and dynamic feature analy
Externí odkaz:
https://doaj.org/article/173818c870f8405db59e3442be24acb3
Publikováno v:
Sensors, Vol 24, Iss 18, p 5975 (2024)
With the increasing popularity of Android smartphones, malware targeting the Android platform is showing explosive growth. Currently, mainstream detection methods use static analysis methods to extract features of the software and apply machine learn
Externí odkaz:
https://doaj.org/article/89fecb1dd62246d894739e1003905465
Autor:
Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Soumyabrata Dev
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 5, Pp 102642- (2024)
The Internet of Things (IoT) has experienced significant growth in recent years and has emerged as a very dynamic sector in the worldwide market. Being an open-source platform with a substantial user base, Android has not only been a driving force in
Externí odkaz:
https://doaj.org/article/0f3a3b6b6c4347edbfd34013ff727ecc
Achieving High Accuracy in Android Malware Detection through Genetic Programming Symbolic Classifier
Autor:
Nikola Anđelić, Sandi Baressi Šegota
Publikováno v:
Computers, Vol 13, Iss 8, p 197 (2024)
The detection of Android malware is of paramount importance for safeguarding users’ personal and financial data from theft and misuse. It plays a critical role in ensuring the security and privacy of sensitive information on mobile devices, thereby
Externí odkaz:
https://doaj.org/article/079338f1714b46ff9a18845b0a22bc82