A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
Challenges and opportunities in securing the industrial internet of things
Given the tremendous success of the Internet of Things in interconnecting consumer
devices, we observe a natural trend to likewise interconnect devices in industrial settings …
devices, we observe a natural trend to likewise interconnect devices in industrial settings …
Survey on smart homes: Vulnerabilities, risks, and countermeasures
Over the last few years, the explosive growth of Internet of Things (IoT) has revolutionized
the way we live and interact with each other as well as with various types of systems and …
the way we live and interact with each other as well as with various types of systems and …
Detecting Internet of Things attacks using distributed deep learning
The reliability of Internet of Things (IoT) connected devices is heavily dependent on the
security model employed to protect user data and prevent devices from engaging in …
security model employed to protect user data and prevent devices from engaging in …
Security threats, countermeasures, and challenges of digital supply chains
The rapid growth of Information Communication Technologies (ICT) has impacted many
fields. In this context, the supply chain has also quickly evolved toward the digital supply …
fields. In this context, the supply chain has also quickly evolved toward the digital supply …
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 …
Distributed denial of service attack prediction: Challenges, open issues and opportunities
Abstract Distributed Denial of Service (DDoS) attack is one of the biggest cyber threats.
DDoS attacks have evolved in quantity and volume to evade detection and increase …
DDoS attacks have evolved in quantity and volume to evade detection and increase …
Botnet Attack Detection by Using CNN‐LSTM Model for Internet of Things Applications
H Alkahtani, THH Aldhyani - Security and Communication …, 2021 - Wiley Online Library
The Internet of Things (IoT) has grown rapidly, and nowadays, it is exploited by cyber attacks
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
on IoT devices. An accurate system to identify malicious attacks on the IoT environment has …
Smart detection: an online approach for DoS/DDoS attack detection using machine learning
FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …
(DoS) attacks. This cyber threat continues to grow even with the development of new …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …