A multimodal malware detection technique for Android IoT devices using various features
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
Forensics and deep learning mechanisms for botnets in internet of things: A survey of challenges and solutions
The constant miniaturization of hardware and an increase in power efficiency, have made
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
Machine learning-based IoT-botnet attack detection with sequential architecture
With the rapid development and popularization of Internet of Things (IoT) devices, an
increasing number of cyber-attacks are targeting such devices. It was said that most of the …
increasing number of cyber-attacks are targeting such devices. It was said that most of the …
Feature subset selection for malware detection in smart IoT platforms
Malicious software (“malware”) has become one of the serious cybersecurity issues in
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …
Iot device identification using deep learning
The growing use of IoT devices in organizations has increased the number of attack vectors
available to attackers due to the less secure nature of the devices. The widely adopted bring …
available to attackers due to the less secure nature of the devices. The widely adopted bring …
An effective self-configurable ransomware prevention technique for IOMT
Remote healthcare systems and applications are being enabled via the Internet of Medical
Things (IoMT), which is an automated system that facilitates the critical and emergency …
Things (IoMT), which is an automated system that facilitates the critical and emergency …
Analyzing CNN based behavioural malware detection techniques on cloud IaaS
Abstract Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to its
exposure to external adversaries, making it a lucrative attack vector for malicious actors. A …
exposure to external adversaries, making it a lucrative attack vector for malicious actors. A …
Robust IoT malware detection and classification using opcode category features on machine learning
H Lee, S Kim, D Baek, D Kim, D Hwang - IEEE Access, 2023 - ieeexplore.ieee.org
Technology advancements have led to the use of millions of IoT devices. However, IoT
devices are being exploited as an entry point due to security flaws by resource constraints …
devices are being exploited as an entry point due to security flaws by resource constraints …
[HTML][HTML] Enhancing smart IoT malware detection: A GhostNet-based hybrid approach
AA Almazroi, N Ayub - Systems, 2023 - mdpi.com
The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in
which objects communicate through the Internet. This innovation, coupled with 5G and …
which objects communicate through the Internet. This innovation, coupled with 5G and …
A hybrid DL-based detection mechanism for cyber threats in secure networks
The astonishing growth of sophisticated ever-evolving cyber threats and attacks throws the
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …