Cyber Security and the Internet of Things: Vulnerabilities, Threats, Intruders and Attacks
By Mohamed Abomhara, Geir M. Køien. Journal of Cyber Security and Mobility, 2015
601 citations recorded by the source corpus.
Internet of Things (IoT) devices is rapidly becoming ubiquitous while IoT services are becoming pervasive. Their success has not gone unnoticed and the number of threats and attacks against IoT devices and services are on the increase as well. Cyber-attacks are not new to IoT, but as IoT will be deeply interwoven in our lives and societies, it is becoming necessary to step up and take cyber defense seriously. Hence, there is a real need to secure IoT, which has consequently resulted in a need to comprehensively understand the threats and attacks on IoT infrastructure. This paper is an attempt to classify threat types, besides, analyze and characterize intruders and attacks facing IoT devices and services.
Subfields: Computer Networks and Communications, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5236100dcf7323b945dc5d431be175469e007224
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Xiaojiang Du
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Amr M. Mohamed
- Mohsen Guizani
- Ömer Aslan
- Tarik Taleb
- Petros Spachos
In Information Systems
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Amr M. Mohamed
- Xiaojiang Du
- Mohsen Guizani
- Ömer Aslan
- Petros Spachos
- Ihsan Ali
In Signal Processing
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Amr M. Mohamed
- Xiaojiang Du
- Mohsen Guizani
- Ömer Aslan
- Petros Spachos
- Ihsan Ali
Citations in the corpus
- Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review (2022, background): “Monetary institutions are also more exposed to attacks as they exchange sensitive information [72].”
- Anomaly-based intrusion detection system for IoT networks through deep learning model (2022, unknown): “However, individual data, patient privacy, armed forces, and corporate information are unusually organized and demand to be tested against illegitimate users [16].”
- Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “IoT devices limits its computational functionality which restricts the implementation of complex security protocol [39].”
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “non-repudiation is not considered a key security property for many IoT systems [5].”
- A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems (2019, background): “These sensitive information, generated by IoT devices for specific domains, can also contain application context information which can be exploited by malicious users not only for hacking the application itself, but also for carrying out further attacks [76].”
- A Survey of Internet of Things (IoT) Authentication Schemes (2019, background): “, in smart health systems use cases it could lead to the death of the patient [29].”
- A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions (2023, background): “…to computer networks or another person’s or organization’s network to damage, disrupt, or steal data [64,65]. cyber security threat is a malicious actor that gains unauthorized access to computer networks or another person’s or organization’s network to damage, disrupt, or steal data [64,65].”