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 …
A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments
S Sasikala, S Janakiraman - Wireless Personal Communications, 2023 - Springer
Abstract Internet of Things (IoT) is the recent digital trend that connects the physical and
virtual world. The strong bonding between the people, objects, machines and the web are …
virtual world. The strong bonding between the people, objects, machines and the web are …
Malware threat analysis techniques and approaches for iot applications: A review
CC Uchenna, N Jamil, R Ismail, LK Yan… - Bulletin of Electrical …, 2021 - beei.org
Internet of things (IoT) is a concept that has been widely used to improve business efficiency
and customer's experience. It involves resource constrained devices connecting to each …
and customer's experience. It involves resource constrained devices connecting to each …
Machine learning framework to analyze iot malware using elf and opcode features
Threats to devices that are part of the Internet of Things (IoT) are on the rise. Owing to the
overwhelming diversity of IoT hardware and software, as well as its variants, conventional …
overwhelming diversity of IoT hardware and software, as well as its variants, conventional …
Malware threats and detection for industrial mobile-IoT networks
Industrial IoT networks deploy heterogeneous IoT devices to meet a wide range of user
requirements. These devices are usually pooled from private or public IoT cloud providers. A …
requirements. These devices are usually pooled from private or public IoT cloud providers. A …
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 …
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 …
[HTML][HTML] A survey of IoT malware and detection methods based on static features
Due to a lack of security design as well as the specific characteristics of IoT devices such as
the heterogeneity of processor architecture, IoT malware detection has to deal with very …
the heterogeneity of processor architecture, IoT malware detection has to deal with very …
A comparison between different machine learning models for iot malware detection
S Nakhodchi, A Upadhyay, A Dehghantanha - Security of Cyber-Physical …, 2020 - Springer
The rapid expansion of IoT devices and their use in business and critical infrastructure has
made them vulnerable to threats from hackers and malwares. These malwares pose a …
made them vulnerable to threats from hackers and malwares. These malwares pose a …
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 …