Internet of Things Security, Device Authentication and Access Control: A Review
- URL: http://arxiv.org/abs/1901.07309v4
- Date: Thu, 8 Aug 2024 01:19:03 GMT
- Title: Internet of Things Security, Device Authentication and Access Control: A Review
- Authors: Inayat Ali, Sonia Sabir, Zahid Ullah,
- Abstract summary: The Internet of Things (IoT) is one of the emerging technologies that has grabbed the attention of researchers from academia and industry.
In near future IoT is expected to be seamlessly integrated into our environment and human will be wholly dependent on this technology for comfort and easy life style.
Security and privacy of this technology is foremost important issue to resolve.
- Score: 1.6502857150914574
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Internet of Things (IoT) is one of the emerging technologies that has grabbed the attention of researchers from academia and industry. The idea behind Internet of things is the interconnection of internet enabled things or devices to each other and to humans, to achieve some common goals. In near future IoT is expected to be seamlessly integrated into our environment and human will be wholly solely dependent on this technology for comfort and easy life style. Any security compromise of the system will directly affect human life. Therefore security and privacy of this technology is foremost important issue to resolve. In this paper we present a thorough study of security problems in IoT and classify possible cyberattacks on each layer of IoT architecture. We also discuss challenges to traditional security solutions such as cryptographic solutions, authentication mechanisms and key management in IoT. Device authentication and access controls is an essential area of IoT security, which is not surveyed so far. We spent our efforts to bring the state of the art device authentication and access control techniques on a single paper.
Related papers
- Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks [55.340315838742015]
Negligence on the security of infotainment data communication in IoV networks can unintentionally open an easy access point for social engineering attacks.
In particular, we first classify data communication in the IoV network, examine the security focus of each data communication, and then develop a differentiated security architecture to provide security protection on a file-to-file basis.
arXiv Detail & Related papers (2024-03-29T12:01:31Z) - IoT in the Cloud: Exploring Security Challenges and Mitigations for a Connected World [18.36339203254509]
The Internet of Things (IoT) has seen remarkable advancements in recent years, leading to a paradigm shift in the digital landscape.
IoT devices, inherently connected to the internet, are susceptible to various forms of attacks.
IoT services often handle sensitive user data, which could be exploited by malicious actors or unauthorized service providers.
arXiv Detail & Related papers (2024-02-01T05:55:43Z) - The Security and Privacy of Mobile Edge Computing: An Artificial Intelligence Perspective [64.36680481458868]
Mobile Edge Computing (MEC) is a new computing paradigm that enables cloud computing and information technology (IT) services to be delivered at the network's edge.
This paper provides a survey of security and privacy in MEC from the perspective of Artificial Intelligence (AI)
We focus on new security and privacy issues, as well as potential solutions from the viewpoints of AI.
arXiv Detail & Related papers (2024-01-03T07:47:22Z) - Classification of cyber attacks on IoT and ubiquitous computing devices [49.1574468325115]
This paper provides a classification of IoT malware.
Major targets and used exploits for attacks are identified and referred to the specific malware.
The majority of current IoT attacks continue to be of comparably low effort and level of sophistication and could be mitigated by existing technical measures.
arXiv Detail & Related papers (2023-12-01T16:10:43Z) - Towards Artificial General Intelligence (AGI) in the Internet of Things
(IoT): Opportunities and Challenges [55.82853124625841]
Artificial General Intelligence (AGI) possesses the capacity to comprehend, learn, and execute tasks with human cognitive abilities.
This research embarks on an exploration of the opportunities and challenges towards achieving AGI in the context of the Internet of Things.
The application spectrum for AGI-infused IoT is broad, encompassing domains ranging from smart grids, residential environments, manufacturing, and transportation to environmental monitoring, agriculture, healthcare, and education.
arXiv Detail & Related papers (2023-09-14T05:43:36Z) - Navigating the IoT landscape: Unraveling forensics, security issues, applications, research challenges, and future [6.422895251217666]
This paper reviews forensic and security issues associated with IoT in different fields.
Most IoT devices are vulnerable to attacks due to a lack of standardized security measures.
To fulfil the security-conscious needs of consumers, IoT can be used to develop a smart home system.
arXiv Detail & Related papers (2023-09-06T04:41:48Z) - A Detail Study of Security and Privacy issues of Internet of Things [0.7874708385247353]
The Internet of Things refers to the billions of physical objects around the planet that are now connected to the Internet.
The main focus of this chapter is to systematically review the security and privacy of the Internet of Things in the present world.
arXiv Detail & Related papers (2020-09-14T11:58:22Z) - Smart Home, security concerns of IoT [91.3755431537592]
The IoT (Internet of Things) has become widely popular in the domestic environments.
People are renewing their homes into smart homes; however, the privacy concerns of owning many Internet connected devices with always-on environmental sensors remain insufficiently addressed.
Default and weak passwords, cheap materials and hardware, and unencrypted communication are identified as the principal threats and vulnerabilities of IoT devices.
arXiv Detail & Related papers (2020-07-06T10:36:11Z) - Scalable and Secure Architecture for Distributed IoT Systems [1.4209473797379666]
We propose to improve the IoT architecture with additional security features using Artificial Intelligence (AI) and blockchain technology.
We enhance the IoT system security with an AI-component at the gateway level to detect and classify suspected activities, malware, and cyber-attacks using machine learning techniques.
arXiv Detail & Related papers (2020-04-20T23:50:43Z) - Machine Learning Based Solutions for Security of Internet of Things
(IoT): A Survey [8.108571247838206]
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.
There are existing security measures that can be applied to protect IoT.
Traditional techniques are not as efficient with the advancement booms as well as different attack types and their severeness.
A huge technological advancement has been noticed in Machine Learning (ML) which has opened many possible research windows to address ongoing and future challenges in IoT.
arXiv Detail & Related papers (2020-04-11T03:08:24Z) - IoT Device Identification Using Deep Learning [43.0717346071013]
The growing use of IoT devices in organizations has increased the number of attack vectors available to attackers.
The widely adopted bring your own device (BYOD) policy which allows an employee to bring any IoT device into the workplace and attach it to an organization's network also increases the risk of attacks.
In this study, we applied deep learning on network traffic to automatically identify IoT devices connected to the network.
arXiv Detail & Related papers (2020-02-25T12:24:49Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.