Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Analysis of IoT security challenges and its solutions using artificial intelligence
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
areas, including connections, work, healthcare, and the economy. IoT has the potential to …
[HTML][HTML] A Bayesian probability model for Android malware detection
The unprecedented growth of mobile technology has generated an increase in malware and
raised concerns over malware threats. Different approaches have been adopted to …
raised concerns over malware threats. Different approaches have been adopted to …
Botnets unveiled: A comprehensive survey on evolving threats and defense strategies
Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …
compromised computers under the control of command and control (C&C) servers. These …
E-sfd: Explainable sensor fault detection in the ics anomaly detection system
C Hwang, T Lee - IEEE Access, 2021 - ieeexplore.ieee.org
Industrial Control Systems (ICS) are evolving into smart environments with increased
interconnectivity by being connected to the Internet. These changes increase the likelihood …
interconnectivity by being connected to the Internet. These changes increase the likelihood …
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 …
On the use of artificial intelligence to deal with privacy in IoT systems: A systematic literature review
Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …
make different operations, like sensing, communicating, and reacting to changes arising in …
HADES-IoT: A practical host-based anomaly detection system for IoT devices
Internet of Things (IoT) devices have become ubiquitous and spread across many
application domains including the industry, transportation, healthcare, and households …
application domains including the industry, transportation, healthcare, and households …
Towards a systematic description of the field using bibliometric analysis: malware evolution
Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are
purposely created to harm computers, mobile devices, or computer networks. Malware …
purposely created to harm computers, mobile devices, or computer networks. Malware …
A novel approach to detect IoT malware by system calls using Deep learning techniques
Recently, IoT devices or smart objects widely utilized in all kinds of fields such as medical,
defense, automobile industry etc. Due to its intelligence and popularity, attacker seeks its …
defense, automobile industry etc. Due to its intelligence and popularity, attacker seeks its …