Review on security issues in RFID systems

Beqqal, Mohamed El; Azizi, Mostafa

doi:10.25046/aj020624

Cited by 16 publications

(6 citation statements)

References 22 publications

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“…Evaluations of RFID device performance within the blood supply chain were conducted, utilizing FMEA to identify departments necessitating reengineering [55]. A review of security concerns in RFID systems was presented in [56]. Furthermore, [57][58][59] outlined the issues and challenges encountered with RFID technology.…”

Section: An Overview Of the Rfid Systemmentioning

confidence: 99%

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Chnina,

Daneshvar

2024

Applied Sciences

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The failure mode causes and effects analysis (FMCEA) is a commonly used reliability approach. It identifies, predicts, and analyzes potential failure modes affecting the proper function of equipment or the process under study, along with their roots and consequences. FMCEA aims to evaluate and assess the risks resulting from their occurrence, intending to suggest corresponding repair, adjustment, and precautionary measures to be planned during the conception, instruction, or implementation stages. However, the FMCEA has been criticized in the literature for its many inherent shortcomings related to risk assessment and prioritization. Therefore, this study presents an enhanced FMCEA method to address the deficiencies of the traditional risk priority number (RPN) and improve the reliability of risk assessments and corrective actions. A data envelopment analysis (DEA), as a non-parametric method, is used to evaluate the efficiency of these failures by considering their fixing time and cost and deciding on their final priority ranks. Sub-failure modes and their interrelationships are also taken into account. The radio frequency identification (RFID) system was chosen as an example due to its core role in Industry 4.0 and the Internet of Things (IoT) to demonstrate the effectiveness and usefulness of the proposed method. A total of 67 failures related to both hardware and software parts, including the environmental impacts of this technology, have been disclosed. The results of the conventional and the suggested FMCEA methods are found to be considerably different, with ten failure modes classified as being the most efficient.

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Section: An Overview Of the Rfid Systemmentioning

confidence: 99%

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Chnina,

Daneshvar

2024

Applied Sciences

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“…It is a powerful solution to avoid interference and multi-path fading (distortion), it also decreases narrowband interference, increases signal capacity, and improves the signal to noise ratio [18]. Porambage et al [19] have discussed a pervasive authentication (PAuthKey) method which is lightweight in nature. This algorithm has been developed keeping in mind the resource scarcity at sensors end.…”

Section: Security Solution At Perception Layermentioning

confidence: 99%

Survey of DoS/DDoS attacks in IoT

Khader

Eleyan

2021

Sustainable Engineering and Innovation

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The term internet of thing (IoT) has gained much popularity in the last decade. Which can be defined as various connected devices over the internet. IoT has rapidly spread to include all aspects of our lives. For instance, smart houses, smart cities, and variant wearable devices. IoT devices work to do their desired goals, which is to develop a person life with his/her minimal involvement. At the same time, IoT devices have many weaknesses, which attackers exploit to affect these devices security. Denial of Service (DoS) and Distributed Denial of Service (DDoS) are considered the most common attacks that strike IoT security. The main aim of these attacks is to make victim systems down and inaccessible for legitimate users by malicious malware. This paper objective is to discuss and review security issues related to DoS/DDoS Attacks and their counter measures i.e. prevention based on IoT devices layers structure.

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“…The possibility that malicious objects easily access some insecure data sources because of the unavailability of encryption and other security management [102]. The distributed storage of IoT data across multiple geographical countries might enable attackers to access the data at some insecure holders [103] Security management, robust encryption algorithms, strict access controls [53,104] (continued) File integrity monitoring, logging activity, web application scanners [109] Data scavenging attacks S4, S6, S10…”

Section: S4 S6mentioning

confidence: 99%

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

Abdel‐Basset

Moustafa

Hawash

et al. 2021

Deep Learning Techniques for IoT Security and Privacy

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This chapter elaborates on different security aspects to be taken into accounts during the development and the deployments of IoT architecture. To make the reader about the security of the IoT based system, this chapter begins by defining the contemporary security requirements that should be considered to realize a reliable and trustworthy IoT environment. Then, the discussion extends to differentiate different concepts of IoT security i.e., threat, vulnerability, countermeasure, attacks, risks; and also explain how the concepts relate to each other. Later, a systematic taxonomy is presented for classifying IoT attacks according to IoT assets, where each class of IoT is further classified into more subcategories. Finally, the discussion of each elaborate different categories of IoT attack indicating their main security targets and possible IoT countermeasures.To sum up, this chapter intends to provide a comprehensive overview regarding IoT security vulnerabilities, threats, countermeasures, risks along with practices of handling them all through the following sections: • Security Requirements in Internet of Things • IoT threats, Attacks, vulnerabilities, and risks • Today's IoT attacks and Countermeasures • IoT attack surfaces • Summary and Learnt Lessons.

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Review on security issues in RFID systems

Abstract: Radio frequency Identification (RFID) is currently considered as one of the most used

Cited by 16 publications

References 22 publications

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Survey of DoS/DDoS attacks in IoT

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

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