[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
Machine learning based solutions for security of Internet of Things (IoT): A survey
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …
aspect of our daily lives by advancing human life with its unaccountable smart services …
[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
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 …
Network intrusion detection for IoT security based on learning techniques
Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in
smart city. Recently, the research community in the field of IoT Security endeavor hard to …
smart city. Recently, the research community in the field of IoT Security endeavor hard to …
[HTML][HTML] Intrusion detection systems for IoT-based smart environments: a survey
One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …
lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …
A smart city idea necessitates the integration of information and communication …
Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …
stage for future technology where industrial use cases like smart cities and smart houses will …