Intelligent and behavioral-based detection of malware in IoT spectrum sensors
AH Celdrán, PMS Sánchez, MA Castillo… - International Journal of …, 2023 - Springer
Abstract The number of Cyber-Physical Systems (CPS) available in industrial environments
is growing mainly due to the evolution of the Internet-of-Things (IoT) paradigm. In such a …
is growing mainly due to the evolution of the Internet-of-Things (IoT) paradigm. In such a …
[HTML][HTML] Behavioral fingerprinting to detect ransomware in resource-constrained devices
Abstract The Internet of Things (IoT), a network of interconnected devices, has grown and
gained traction over the last few years. This paradigm can impact our lives while also …
gained traction over the last few years. This paradigm can impact our lives while also …
E-spion: A system-level intrusion detection system for iot devices
As the Internet of Things (IoT) grows at a rapid pace, there is a need for an effective and
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
Harnessing the power of decision trees to detect IoT malware
M Omar - arXiv preprint arXiv:2301.12039, 2023 - arxiv.org
Due to its simple installation and connectivity, the Internet of Things (IoT) is susceptible to
malware attacks. Being able to operate autonomously. As IoT devices have become more …
malware attacks. Being able to operate autonomously. As IoT devices have become more …
Identifying cyber threats to mobile-IoT applications in edge computing paradigm
The malware has become an increasing problem for Mobile-Internet of Things applications
in edge computing platform. Variants of malware can be identified once their general …
in edge computing platform. Variants of malware can be identified once their general …
[HTML][HTML] MalInsight: A systematic profiling based malware detection framework
W Han, J Xue, Y Wang, Z Liu, Z Kong - Journal of Network and Computer …, 2019 - Elsevier
To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …
due to the ever-lasting increase of malware, the security researchers increasingly rely on …
IoTDS: A one-class classification approach to detect botnets in Internet of Things devices
Internet of Things (IoT) devices have become increasingly widespread. Despite their
potential of improving multiple application domains, these devices have poor security, which …
potential of improving multiple application domains, these devices have poor security, which …
Distributed deep neural-network-based middleware for cyber-attacks detection in smart IoT ecosystem: a novel framework and performance evaluation approach
Cyberattacks always remain the major threats and challenging issues in the modern digital
world. With the increase in the number of internet of things (IoT) devices, security challenges …
world. With the increase in the number of internet of things (IoT) devices, security challenges …
A deep recurrent neural network based approach for internet of things malware threat hunting
Abstract Internet of Things (IoT) devices are increasingly deployed in different industries and
for different purposes (eg sensing/collecting of environmental data in both civilian and …
for different purposes (eg sensing/collecting of environmental data in both civilian and …