Deep learning for android malware defenses: a systematic literature review
Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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
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 …
malware have become a challenge for industrial applications of Cyber-Physical System …
Ichv: A new compression approach for industrial images
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 …
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 …
encompassing various mediums like blogs, forums, online chats, and prominent social …