Results 81 to 90 of about 31,732 (193)

Mobile Microgrids: Concepts, Key Technologies, Business Models, Applications and Prospects

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
Our study explores MMG concepts, key technologies, business models and applications, illustrating their impact on improving the flexible ADN operation. This study emphasises not only the practical importance of MMGs but also their pivotal role in reshaping the future landscape of energy delivery, offering valuable insights for researchers, policymakers
Tao Ding, Chenggang Mu, Yujie Ding, Shunqi Wang, Rui Song, Mohammad Shahidehpour   +5 more
wiley   +1 more source

CERTAIN INVESTIGATIONS ON VARIOUS ALGORITHMS THAT IS USED TO CLASSIFY MALWARE AND GOODWARE IN ANDROID APPLICATIONS

ICTACT Journal on Soft Computing, 2016
In recent trends, the mobile devices play a very vital role in day to day activities of human beings. Google Android OS appeared lately i.e., in September 2008 in mobile market and gains more popularity.
B.P. Sreejith Vignesh, M. Rajesh Babu
doaj  

Review of the Mobile Malware Mitigation Approaches

Безопасность информационных технологий, 2015
Mobile devices such as smartphones and tablets are extremely widespread nowadays. These devices provide users with a wide range of applications for commercial and public use.
Anastasiia Alekseevna Skovoroda, Denis Yuryevich Gamaiunov   +1 more
doaj  

Detection of Mobile Malware in the Wild

Computer, 2012
New techniques for detecting the presence of mobile malware can help protect smartphones from potential security threats.
Chandramohan, M., Tan, H.B.K.
openaire   +2 more sources

SmartMal: A Service-Oriented Behavioral Malware Detection Framework for Mobile Devices

The Scientific World Journal, 2014
This paper presents SmartMal—a novel service-oriented behavioral malware detection framework for vehicular and mobile devices. The highlight of SmartMal is to introduce service-oriented architecture (SOA) concepts and behavior analysis into the malware ...
Chao Wang, Zhizhong Wu, Xi Li, Xuehai Zhou, Aili Wang, Patrick C. K. Hung   +5 more
doaj   +1 more source

Bioinspired artificial intelligence based android malware detection and classification for cybersecurity applications

Alexandria Engineering Journal
With the fast growth of mobile phone usage, malicious threats against Android mobile devices are enhanced. The Android system utilizes a wide range of sensitive apps like banking apps; thus, it develops the aim of malware that uses the vulnerability of ...
Shoayee Dlaim Alotaibi, Bayan Alabduallah, Yahia Said, Siwar Ben Haj Hassine, Abdulaziz A. Alzubaidi, Maha Alamri, Samah Al Zanin, Jihen Majdoubi   +7 more
doaj   +1 more source

A Railway Mobile Terminal Malware Detection Method Based on SE-ResNet

Applied Sciences
This paper proposes a residual network model integrated with an attention mechanism module for the detection and classification of malware on railway mobile terminals.
Honglei Yao, Yijie Yang, Ning Dong, Wenjia Niu   +3 more
doaj   +1 more source

AAGAN: Android Malware Generation System Based on Generative Adversarial Network

Vietnam Journal of Computer Science
With the rapid evolution of mobile malware, especially Android malware, machine learning (ML)-based Android malware detection systems have drawn massive attention. Although ML algorithms have recently led to many vital breakthroughs in malware detection,
Doan Minh Trung, Nghi Hoang Khoa, Phan The Duy, Van-Hau Pham, Nguyen Tan Cam   +4 more
doaj   +1 more source

Accurate mobile malware detection and classification in the cloud. [PDF]

Springerplus, 2015
Wang X, Yang Y, Zeng Y.
europepmc   +1 more source