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Future Internet
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Cyber Security in the New "Edge Computing + IoT" World
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Cyber Security in the New "Edge Computing + IoT" World

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Cybersecurity".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 10863

Special Issue Editor

Dr. Xuebin Ren

E-Mail Website
Guest Editor
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
Interests: data privacy and privacy preservation for large-scale data analytics; differential privacy; local differential privacy; federated learning; secure multiparty computation

Special Issue Information

Dear Colleagues,

The paradigm shift to the Internet of Things (IoT) has paved the way for a new surge of research on connecting objects, streamlining processes, and enabling intelligence on top of sensor networks that collect data from cyber, physical, and human worlds. Meanwhile, the emergence of the edge computing concept has led to benefits that traditional cloud computing cannot offer us sufficient data traffic elimination, in situ data intelligence, latency reduction, and fast responses. The integration of edge computing and the IoT would thus be promising for various future IoT application scenarios, such as smart homes, smart transportation, smart health, smart grids, and smart energy.

Such an emerging “edge computing + IoT” trend brings both challenges and opportunities to cybersecurity. For example, on the one hand, the distributed nature, resource constraints, and extensive data in edge computing and the IoT pose severe challenges for designing trustworthy, secure, and privacy-preserving mechanisms with effectiveness and efficiency. On the other hand, the emergence of a series of technologies like Machine Learning (ML), Artificial Intelligence (AI), and Blockchain has opened a door for new research directions and innovative opportunities at the intersection of the cybersecurity and “edge computing + IoT” paradigm.

This Special Issue aims to gather the recent advances and novel contributions made by academic researchers and industry practitioners in the vibrant field of cybersecurity for edge computing and the IoT, so that we may address the serious challenges and leverage the potential opportunities in the new world of edge computing and the IoT.

Dr. Xuebin Ren
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cybersecurity in typical edge and IoT systems, e.g., smart grid, smart transportation
  • system security in edge and fog computing
  • security and privacy issues in edge intelligence and the IoT
  • data security and privacy in edge computing and the IoT
  • privacy-enhancing technologies in edge computing and the IoT
  • adversarial attacks in edge computing and the IoT
  • defending mechanisms in edge computing and the IoT
  • blockchain and its applications in edge computing and the IoT
  • trust management in edge computing and the IoT
  • trustworthy ML algorithms in edge computing and the IoT
  • advanced privacy-enhanced technologies for edge computing and the IoT
  • advanced cryptography techniques for a resource-constrained IoT
  • large language models (LLMs) for cybersecurity in edge computing and the IoT

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Published Papers (4 papers)

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Research

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27 pages, 4818 KiB  
Article
Beat the Heat: Syscall Attack Detection via Thermal Side Channel
by Teodora Vasilas, Claudiu Bacila and Remus Brad
Future Internet 2024, 16(8), 301; https://doi.org/10.3390/fi16080301 - 21 Aug 2024
Viewed by 509
Abstract
As the complexity and integration of electronic devices increase, understanding and mitigating side-channel vulnerabilities will remain a critical area of cybersecurity research. The new and intriguing software-based thermal side-channel attacks and countermeasures use thermal emissions from a device to extract or defend sensitive [...] Read more.
As the complexity and integration of electronic devices increase, understanding and mitigating side-channel vulnerabilities will remain a critical area of cybersecurity research. The new and intriguing software-based thermal side-channel attacks and countermeasures use thermal emissions from a device to extract or defend sensitive information, by reading information from the built-in thermal sensors via software. This work extends the Hot-n-Cold anomaly detection technique, applying it in circumstances much closer to the real-world computational environments by detecting irregularities in the Linux command behavior through CPU temperature monitoring. The novelty of this approach lies in the introduction of five types of noise across the CPU, including moving files, performing extended math computations, playing songs, and browsing the web while the attack detector is running. We employed Hot-n-Cold to monitor core temperatures on three types of CPUs utilizing two commonly used Linux terminal commands, ls and chmod. The results show a high correlation, approaching 0.96, between the original Linux command and a crafted command, augmented with vulnerable system calls. Additionally, a Machine Learning algorithm was used to classify whether a thermal trace is augmented or not, with an accuracy of up to 88%. This research demonstrates the potential for detecting attacks through thermal sensors even when there are different types of noise in the CPU, simulating a real-world scenario. Full article
(This article belongs to the Special Issue Cyber Security in the New "Edge Computing + IoT" World)
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15 pages, 8609 KiB  
Article
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
by Mohsin Khan, Håvard Dagenborg and Dag Johansen
Future Internet 2024, 16(8), 261; https://doi.org/10.3390/fi16080261 - 25 Jul 2024
Viewed by 669
Abstract
In resource-intensive Internet of Things applications, Lightweight Stream Ciphers (LWSCs) play a vital role in influencing both the security and performance of the system. Numerous LWSCs have been proposed, each offering certain properties and trade-offs that carefully balance security and performance requirements. This [...] Read more.
In resource-intensive Internet of Things applications, Lightweight Stream Ciphers (LWSCs) play a vital role in influencing both the security and performance of the system. Numerous LWSCs have been proposed, each offering certain properties and trade-offs that carefully balance security and performance requirements. This paper presents a comprehensive evaluation of prominent LWSCs, with a focus on their performance and resource consumption, providing insights into efficiency, efficacy, and suitability in the real-world application of resource-intensive live video feed encryption on an ARM processor. The study involves the development of a benchmarking tool designed to evaluate key metrics, including encryption frame rate, throughput, processing cycles, memory footprint, ROM utilization, and energy consumption. In addition, we apply the E−Rank metric, which combines key performance and resource metrics to derive a unified comparative measure for overall software performance. Full article
(This article belongs to the Special Issue Cyber Security in the New "Edge Computing + IoT" World)
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19 pages, 1639 KiB  
Article
Security Threats and Promising Solutions Arising from the Intersection of AI and IoT: A Study of IoMT and IoET Applications
by Hadeel Alrubayyi, Moudy Sharaf Alshareef, Zunaira Nadeem, Ahmed M. Abdelmoniem and Mona Jaber
Future Internet 2024, 16(3), 85; https://doi.org/10.3390/fi16030085 - 29 Feb 2024
Cited by 5 | Viewed by 1802
Abstract
The hype of the Internet of Things as an enabler for intelligent applications and related promise for ushering accessibility, efficiency, and quality of service is met with hindering security and data privacy concerns. It follows that such IoT systems, which are empowered by [...] Read more.
The hype of the Internet of Things as an enabler for intelligent applications and related promise for ushering accessibility, efficiency, and quality of service is met with hindering security and data privacy concerns. It follows that such IoT systems, which are empowered by artificial intelligence, need to be investigated with cognisance of security threats and mitigation schemes that are tailored to their specific constraints and requirements. In this work, we present a comprehensive review of security threats in IoT and emerging countermeasures with a particular focus on malware and man-in-the-middle attacks. Next, we elaborate on two use cases: the Internet of Energy Things and the Internet of Medical Things. Innovative artificial intelligence methods for automating energy theft detection and stress levels are first detailed, followed by an examination of contextual security threats and privacy breach concerns. An artificial immune system is employed to mitigate the risk of malware attacks, differential privacy is proposed for data protection, and federated learning is harnessed to reduce data exposure. Full article
(This article belongs to the Special Issue Cyber Security in the New "Edge Computing + IoT" World)
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Review

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57 pages, 2070 KiB  
Review
A Holistic Analysis of Internet of Things (IoT) Security: Principles, Practices, and New Perspectives
by Mahmud Hossain, Golam Kayas, Ragib Hasan, Anthony Skjellum, Shahid Noor and S. M. Riazul Islam
Future Internet 2024, 16(2), 40; https://doi.org/10.3390/fi16020040 - 24 Jan 2024
Cited by 6 | Viewed by 7155
Abstract
Driven by the rapid escalation of its utilization, as well as ramping commercialization, Internet of Things (IoT) devices increasingly face security threats. Apart from denial of service, privacy, and safety concerns, compromised devices can be used as enablers for committing a variety of [...] Read more.
Driven by the rapid escalation of its utilization, as well as ramping commercialization, Internet of Things (IoT) devices increasingly face security threats. Apart from denial of service, privacy, and safety concerns, compromised devices can be used as enablers for committing a variety of crime and e-crime. Despite ongoing research and study, there remains a significant gap in the thorough analysis of security challenges, feasible solutions, and open secure problems for IoT. To bridge this gap, we provide a comprehensive overview of the state of the art in IoT security with a critical investigation-based approach. This includes a detailed analysis of vulnerabilities in IoT-based systems and potential attacks. We present a holistic review of the security properties required to be adopted by IoT devices, applications, and services to mitigate IoT vulnerabilities and, thus, successful attacks. Moreover, we identify challenges to the design of security protocols for IoT systems in which constituent devices vary markedly in capability (such as storage, computation speed, hardware architecture, and communication interfaces). Next, we review existing research and feasible solutions for IoT security. We highlight a set of open problems not yet addressed among existing security solutions. We provide a set of new perspectives for future research on such issues including secure service discovery, on-device credential security, and network anomaly detection. We also provide directions for designing a forensic investigation framework for IoT infrastructures to inspect relevant criminal cases, execute a cyber forensic process, and determine the facts about a given incident. This framework offers a means to better capture information on successful attacks as part of a feedback mechanism to thwart future vulnerabilities and threats. This systematic holistic review will both inform on current challenges in IoT security and ideally motivate their future resolution. Full article
(This article belongs to the Special Issue Cyber Security in the New "Edge Computing + IoT" World)
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