Droiddelver: An android malware detection system using deep belief network based on api call blocks
Because of the explosive growth of Android malware and due to the severity of its damages,
the detection of Android malware has become an increasing important topic in cyber …
the detection of Android malware has become an increasing important topic in cyber …
Deep neural networks for automatic android malware detection
Because of the explosive growth of Android malware and due to the severity of its damages,
the detection of Android malware has become an increasing important topic in cybersecurity …
the detection of Android malware has become an increasing important topic in cybersecurity …
DroidDeep: using Deep Belief Network to characterize and detect android malware
X Su, W Shi, X Qu, Y Zheng, X Liu - Soft Computing, 2020 - Springer
Android operating system and corresponding applications (app) are becoming increasingly
popular, because the characteristics (open source, support the third-party app markets, etc.) …
popular, because the characteristics (open source, support the third-party app markets, etc.) …
[PDF][PDF] Droidvecdeep: Android malware detection based on word2vec and deep belief network
T Chen, Q Mao, M Lv, H Cheng, Y Li - KSII Transactions on Internet …, 2019 - koreascience.kr
With the proliferation of the Android malicious applications, malware becomes more capable
of hiding or confusing its malicious intent through the use of code obfuscation, which has …
of hiding or confusing its malicious intent through the use of code obfuscation, which has …
[HTML][HTML] Deep Belief Networks-based framework for malware detection in Android systems
Malware is the umbrella term that denotes attacking any system by malicious software.
During the last few years, the popularity of Android smartphones led to the sneak of several …
During the last few years, the popularity of Android smartphones led to the sneak of several …
An image-inspired and cnn-based android malware detection approach
Until 2017, Android smartphones occupied approximately 87% of the smartphone market.
The vast market also promotes the development of Android malware. Nowadays, the …
The vast market also promotes the development of Android malware. Nowadays, the …
End-to-end malware detection for android IoT devices using deep learning
Z Ren, H Wu, Q Ning, I Hussain, B Chen - Ad Hoc Networks, 2020 - Elsevier
Abstract The Internet of Things (IoT) has grown rapidly in recent years and has become one
of the most active areas in the global market. As an open source platform with a large …
of the most active areas in the global market. As an open source platform with a large …
MAPAS: a practical deep learning-based android malware detection system
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …
surge of studies have been conducted to protect users from newly emerging malware by …
[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android
The Android operating system, with its market share leadership and open-source nature in
smartphones, has become the primary target of malware. However, detecting malicious …
smartphones, has become the primary target of malware. However, detecting malicious …
A performance-sensitive malware detection system using deep learning on mobile devices
Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …
increasing number of malware. Powerful computing resource provides more exhaustive …