Results 141 to 150 of about 5,547 (215)

Malware Classification Based on Image Segmentation

Executable programs are highly structured files that can be recognized by operating systems and loaded into memory, analyzed for their dependencies, allocated resources, and ultimately executed.
Nie, Wanhu
core  

Evaluation of Malware Classification Models for Heterogeneous Data. [PDF]

Sensors (Basel)
Bae H.
europepmc   +1 more source

Analysis and Classification of Android Malware

, 2016
With the integration of mobile devices into our daily lives, smartphones are privy to increasing amounts of sensitive information. As of 2016, Android is the leading smartphone in popularity with sophisticated mobile malware targeting its data and ...
Tam, Kimberly
core  

Malware Detection based on Graph Classification

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017
Khanh-Huu-The Dam, Tayssir Touili
openaire   +1 more source

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]

PLoS One
Minh Manh V, Do Xuan C, Van NTK.
europepmc   +1 more source

RNN-based detection of IoT malware using diverse feature engineering methods. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source

OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]

Sci Rep
Das K, Borah BB, Bhattacharyya DK, Kalita J.   +3 more
europepmc   +1 more source

Self-Organizing Neural Grove for Malware Detection in IoT Edge Devices. [PDF]

Sensors (Basel)
Inoue H, Komura T, Hashimoto I.
europepmc   +1 more source

A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]

Sci Rep
Xia L, Chen Y, Han L.
europepmc   +1 more source

Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]

Sci Rep
Abd-Ellah MK, Alsayed NA, Elkomy OM, El-Hady WM.   +3 more
europepmc   +1 more source