Attack Classification Schema for Smart City WSNs

Garcia-Font, Víctor; Garrigues, Carles; Rifà-Pous, Helena

doi:10.3390/s17040771

Cited by 37 publications

(12 citation statements)

References 18 publications

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“…1) There is a need to analyze diverse scenarios (e.g., healthcare [86], smart city [87], military [88], and IoE) and derive additional security requirements for each scenario. Security requirements depend on specific environment and WSNs can be applied in myriad environments.…”

Section: Evaluation and Discussionmentioning

confidence: 99%

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Lee

et al. 2020

IEEE Access

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As WSNs combine with a diversity of next-generation technologies, wireless sensor networks (WSNs) have gained considerable attention as a promising ubiquitous technology. Even though several studies on WSNs are being undertaken, few systematically analyze the security issues relating to them. Moreover, recent systems tend to be implemented without sufficient consideration about owns security requirements, which can lead to lethal threats. Systems that do not consider security requirements may provide attackers the opportunity to reduce the overall efficiency and performance of the system. This means that inadequately applied security requirements can result in defective security of systems. Therefore, in this study, we emphasized the importance of security requirements to raise awareness regarding them. In addition, we analyzed literature that could be improved by including WSNs security requirements such as characteristics, constraints, and threats. Furthermore, we adopted a systematic methodology by referring to reliable literature and performed a different analysis from previous studies. We derived and mapped the different security factors based on the literature and illustrated the relationships of each security factor. Finally, our research compared with studies of a similar type to evaluate whether it provided a significant contribution. In other words, in this study, we analyzed various factors related to WSNs security based on reviewing the literature and show our contribution, such as a systematic analysis framework and factor mapping compared with traditional studies. Though there are some considerations, we expect that this research derived the essential security requirements in any WSNs environments. INDEX TERMS Wireless sensor network, security requirement, next-generation technologies.

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Section: Evaluation and Discussionmentioning

confidence: 99%

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Lee

et al. 2020

IEEE Access

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“…Smart city administrators must be aware that there is no black box technique that can detect any kind of attack and the affected equipment in a scenario such as the smart city. In fact, a complex procedure and a framework are proposed in [ 25 ] in order to assist smart city administrators to select the most probable attack, and delimit corrupted data and affected devices in case of incident.…”

Section: Discussionmentioning

confidence: 99%

“…The current state of the art reviewed above clearly shows that data analysis and anomaly detection cannot be based on statistical or rule-based approaches alone. These approaches should be combined with sophisticated techniques based on machine learning, as suggested in [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Difficulties and Challenges of Anomaly Detection in Smart Cities: A Laboratory Analysis

Garcia-Font

Garrigues

Rifà-Pous

2018

Sensors

Self Cite

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Smart cities work with large volumes of data from sensor networks and other sources. To prevent data from being compromised by attacks or errors, smart city IT administrators need to apply attack detection techniques to evaluate possible incidents as quickly as possible. Machine learning has proven to be effective in many fields and, in the context of wireless sensor networks (WSNs), it has proven adequate to detect attacks. However, a smart city poses a much more complex scenario than a WSN, and it has to be evaluated whether these techniques are equally valid and effective. In this work, we evaluate two machine learning algorithms (support vector machines (SVM) and isolation forests) to detect anomalies in a laboratory that reproduces a real smart city use case with heterogeneous devices, algorithms, protocols, and network configurations. The experience has allowed us to show that, although these techniques are of great value for smart cities, additional considerations must be taken into account to effectively detect attacks. Thus, through this empiric analysis, we point out broader challenges and difficulties of using machine learning in this context, both for the technical complexity of the systems, and for the technical difficulty of configuring and implementing them in such environments.

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“…The main features of this system are a reduction in the number of communication messages due to the lack of additional control messages or monitor nodes in the IDS design and its applicability to large-scale networks. Garcia-Font et al [95] proposed a NIDS for WSNs that depends on a machine learning approach and a signature model. They used a signature-based detection engine and an anomaly-based detection engine to improve the detection rate and the FPR.…”

Section: Idss Designed For Iot Systemsmentioning

confidence: 99%

Intrusion detection systems for IoT-based smart environments: a survey

Elrawy¹,

2018

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One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a technology for building smart environments. Security and privacy are considered key issues in any real-world smart environment based on the IoT model. The security vulnerabilities in IoT-based systems create security threats that affect smart environment applications. Thus, there is a crucial need for intrusion detection systems (IDSs) designed for IoT environments to mitigate IoT-related security attacks that exploit some of these security vulnerabilities. Due to the limited computing and storage capabilities of IoT devices and the specific protocols used, conventional IDSs may not be an option for IoT environments. This article presents a comprehensive survey of the latest IDSs designed for the IoT model, with a focus on the corresponding methods, features, and mechanisms. This article also provides deep insight into the IoT architecture, emerging security vulnerabilities, and their relation to the layers of the IoT architecture. This work demonstrates that despite previous studies regarding the design and implementation of IDSs for the IoT paradigm, developing efficient, reliable and robust IDSs for IoT-based smart environments is still a crucial task. Key considerations for the development of such IDSs are introduced as a future outlook at the end of this survey.

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Attack Classification Schema for Smart City WSNs

Cited by 37 publications

References 18 publications

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Difficulties and Challenges of Anomaly Detection in Smart Cities: A Laboratory Analysis

Intrusion detection systems for IoT-based smart environments: a survey

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