On the features and challenges of security and privacy in distributed internet of things

By Rodrigo Roman, Jianying Zhou, Javier López. Comput. Networks, 2013

1,409 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9c50d15fdaca21569d46335fdd0108012a00e2a0

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In Artificial Intelligence

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges (2016, background): “A clear example of this is the Internet of Things, which is the main raison d’etre of fog computing [18] – and a major use case in all edge paradigms.”
Privacy and Security in Internet of Things and Wearable Devices (2015, methodology): “The authors in [5] tried to solve IoT security through different IoT topologies: centralized architectures [6] and distributed architectures [7], [8].”
Internet of things security: A top-down survey (2018, background): “Moreover, Roman et al. [104] discussed the main beneﬁts and also the important issues to be addressed in terms of security and privacy in decentralized architectures.”
Internet of things (IoT) security: Current status, challenges and prospective measures (2015, background): “…this process can be very challenging because of the nature of the IoT; many entities are involved (devices, people, services, service providers and processing units) and one other thing is that sometimes objects may need to interact with others for the first time (objects they do not know) [8].”
A Survey on Blockchain Technology: Evolution, Architecture and Security (2021, background): “The main reason is that the chain in this technology has been expanding at a rate of one megabyte per block every ten minutes in Bitcoin [132].”
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, background): “Authors in Roman et al. (2013) discussed the importance of security and privacy to push the IoT distributed approach into the real world.”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, background): “A partially distributed approach that allows edge intelligence that can meet the privacy requirements of IoT use cases such as eHealth services is presented in [152].”
Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors (2015, background): “Others discussed the social aspect of IoT technology, such as privacy (Roman et al., 2013) and security (Alcaraz et al.”
A Complex View of Industry 4.0 (2016, background): “Systems of protection from unauthorized intrusions will have to become much more elaborate because things will monitor certain vital functions in the care of other machines or devices (Roman, Zhou, & Lopez, 2013).”
Machine Learning Based Intrusion Detection Systems for IoT Applications (2019, background): “Denial of Service (DoS) is one of the most catastrophic attacks that prevent legitimate user to access the service it has paid for [55, 17].”
Blockchain for Internet of Things: A Survey (2019, background): “Moreover, IoT systems are also vulnerable to malicious attacks due to the failure of security firmware updates in time [16].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “[21] discussed security and privacy in the distributed IoT context.”
Security and privacy in the Internet of Things: Current status and open issues (2014, background): “resources like bandwidth, memory, disk space, or processor time, and disruption of configuration information (such as node information) [24, 34, 35].”
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? (2018, background): “tions (RFIDs), wireless sensor networks (WSNs), and cloud computing [4], IoT systems have to protect data privacy and address security issues such as spoofing attacks, intrusions, DoS attacks, distributed DoS (DDoS) attacks, jamming, eavesdropping, and malware [5], [6].”
Data Mining for Internet of Things: A Survey (2014, background): “This is where knowledge discovery in databases (KDD) and data mining technologies come into play, for these technologies provide possible solutions to find out the information hidden in the data of IoT, which can be used to enhance the performance of the system or to improve the quality of services…”
IoT Middleware: A Survey on Issues and Enabling Technologies (2017, background): “and Trust: The problem of security and privacy in the IoT systems has started to receive greater attention from researchers recently, resulting in a number of publications in this area [64]–[66].”