Deep learning for android malware defenses: a systematic literature review

Y Liu, C Tantithamthavorn, L Li, Y Liu - ACM Computing Surveys, 2022 - dl.acm.org
Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning

P Bhat, S Behal, K Dutta - Computers & Security, 2023 - Elsevier
The enormous popularity of Android in the smartphone market has gained the attention of
malicious actors as well. Also, considering its open system architecture, malicious attacks …

IADF-CPS: Intelligent anomaly detection framework towards cyber physical systems

SM Nagarajan, GG Deverajan, AK Bashir… - Computer …, 2022 - Elsevier
Abstract Cyber–Physical Systems (CPSs) becoming one of the most complex, intelligent,
and sophisticated system. Ensuring security is an important aspect towards CPSs. However …

A dynamic robust DL-based model for android malware detection

IU Haq, TA Khan, A Akhunzada - IEEE Access, 2021 - ieeexplore.ieee.org
The dramatic increase in Android-based smart devices has brought technological revolution
to improve the overall quality of life and thus making it worth a billion-dollar market. Despite …

[HTML][HTML] A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain

P Bhat, K Dutta - Journal of King Saud University-Computer and …, 2022 - Elsevier
With the rise in popularity and its open system architecture, Android has become vulnerable
to malicious attacks. There are several malware detection approaches available to fortify the …

Recent advances in video analytics for rail network surveillance for security, trespass and suicide prevention—A survey

T Zhang, W Aftab, L Mihaylova, C Langran-Wheeler… - Sensors, 2022 - mdpi.com
Railway networks systems are by design open and accessible to people, but this presents
challenges in the prevention of events such as terrorism, trespass, and suicide fatalities …

Optimal feature selection for malware detection in cyber physical systems using graph convolutional network

A Daniel, R Deebalakshmi, R Thilagavathy… - Computers and …, 2023 - Elsevier
Due to the fast growth of Internet of Things (IoT) technology, the detection and analysis of
malware have become a challenge for industrial applications of Cyber-Physical System …

Ichv: A new compression approach for industrial images

X Yuan, Z Cai - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
The rapid development of the Industrial Internet of Things and artificial intelligence has
brought new pressures to the compression and storage of image information. Thus, efficient …

[PDF][PDF] Deep Learning and Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications.

H Zhang, H Zhang, Y Lei, P Li… - Computers, Materials & …, 2024 - cdn.techscience.cn
The study delves into the expanding role of network platforms in our daily lives,
encompassing various mediums like blogs, forums, online chats, and prominent social …