Security Framework for Internet of Things (IoT)

El-Gendy, Sherif; Azer, Marianne A.

doi:10.1109/icces51560.2020.9334589

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…[28] presented a taxonomy of security requirements that should be considered when a software application is designed and implemented. [19] proposed a security architecture to provide security enabled IoT services and a baseline for security deployment. Their architectural solution plays a crucial role in their study because it addresses the security requirements of IoT systems.…”

Section: Related Workmentioning

confidence: 99%

“…Their approach includes activities such as requirements development, domain-specific design, verification, simulation, analysis, calibration, deployment, code generation, and execution [28] presented a taxonomy of security requirements to be considered when a software application is designed and implemented. [19] proposed a security architecture to provide security-enabled IoT services and a baseline for security deployment. [29] established security requirements for IoT systems and focused on enhancing the security of smart home applications.…”

Section: Scenario Processingmentioning

confidence: 99%

“…Currently, the of IoT platforms are not adequately structured to handle different threats and attacks in an organized manner. These limitations make IoT systems more susceptible to a wide range of attack vectors, posing potential threats to their security [19]. Furthermore, traditional protection schemes used in the conventional internet and IoT are not as useful for agricultural systems, which creates opportunities and research gaps [20]- [22].…”

Section: Introductionmentioning

confidence: 99%

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Semiotics: An Approach to Model Security Scenarios for IoT-Based Agriculture Software

Hurtado,

Antonelli,

López

et al. 2024

TecnoL.

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Agriculture is a vital human activity that contributes to sustainable development. A few decades ago, the agricultural sector adopted the Internet of Things (IoT), which has played a relevant role in precision and smart farming. The IoT developments in agriculture require that numerous connected devices work cooperatively. This increases the vulnerability of IoT devices, mainly because they lack the necessary built-in security because of their context and computational capacity. Other security threats to these devices are related to data storage and processing connected to edge or cloud servers. To ensure that IoT-based solutions meet functional and non-functional requirements, particularly those concerning security, software companies should adopt a security-focused approach to their software requirements specification. This paper proposes a method for specifying security scenarios, integrating requirements and architecture viewpoints into the context of IoT for agricultural solutions. The method comprises four steps: (i) describe scenarios for the intended software, (ii) describe scenarios with incorrect uses of the system, (iii) translate these scenarios into security scenarios using a set of rules, and (iv) improve the security scenarios. This paper also describes a prototype application that employs the proposed algorithm to strengthen the incorrect use scenario based on the correct use scenario. Then, the expert can complete the information for the analysis and subsequent derivation of the security scenario. In addition, this paper describes a preliminary validation of our approach. The results show that the proposed approach enables software engineers to define and analyze security scenarios in the IoT and agricultural contexts with good results. A survey administered to five security experts found that the proposed security scenario method is generally useful for specifying agricultural IoT solutions but needs improvement in different areas.

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Section: Related Workmentioning

confidence: 99%

Section: Scenario Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Semiotics: An Approach to Model Security Scenarios for IoT-Based Agriculture Software

Hurtado,

Antonelli,

López

et al. 2024

TecnoL.

View full text Add to dashboard Cite

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“…In case the vulnerabilities are not detected, they can be exploited, which leads to attacks on the IoT. In [27], the authors classified the different types of IoT attacks. Table 5 presents a summary of IoT attacks, including their description, subcategories, examples, advantages from the attackers' perspective, and cost factors.…”

Section: Development Of Exploits and Pocsmentioning

confidence: 99%

IoT Vulnerabilities and Attacks: SILEX Malware Case Study

Mukhtar,

Elsayed,

Jurcut

et al. 2023

Symmetry

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The Internet of Things (IoT) is rapidly growing and is projected to develop in future years. The IoT connects everything from Closed Circuit Television (CCTV) cameras to medical equipment to smart home appliances to smart automobiles and many more gadgets. Connecting these gadgets is revolutionizing our lives today by offering higher efficiency, better customer service, and more effective goods and services in a variety of industries and sectors. With this anticipated expansion, many challenges arise. Recent research ranked IP cameras as the 2nd highest target for IoT attacks. IoT security exhibits an inherent asymmetry where resource-constrained devices face attackers with greater resources and time, creating an imbalanced power dynamic. In cybersecurity, there is a symmetrical aspect where defenders implement security measures while attackers seek symmetrical weaknesses. The SILEX malware case highlights this asymmetry, demonstrating how IoT devices’ limited security made them susceptible to a relatively simple yet destructive attack. These insights underscore the need for robust, proactive IoT security measures to address the asymmetrical risks posed by adversaries and safeguard IoT ecosystems effectively. In this paper, we present the IoT vulnerabilities, their causes, and how to detect them. We focus on SILEX, one of the famous malware that targets IoT, as a case study and present the lessons learned from this malware.

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“…More billions of IoT devices increases the threat and opens up the possibility of numerous attacks on the devices themselves. To address these security challenges, it is essential to explore frameworks like the 'Security Framework for Internet of Things proposed by El-Gendy and Azer [2]. Hacked devices cause disruption of connectivity and can also serve as a starting point for attacks on other devices and systems.…”

Section: Introductionmentioning

confidence: 99%

Methods for Detection and Prevention of Vulnerabilities in the IoT (Internet of Things) Systems

Antoska Knights,

Gacovski

2024

Internet of Things - New Insights

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In this chapter, the problem of detection and prevention systems for Internet of Things attacks is discussed. We start with the term Internet of Things (IoT) that defines the use of intelligently connected devices and systems for data collection via embedded sensors and actuators in physical devices. IoT is omnipresent today and is expected to expand globally in the years ahead. This type of progress will provide services that improve the quality of human life and the productivity of enterprises, while creating the possibility for the so-called “Connected Life.” The goal is to achieve protection against intruders who break into IoT systems to obtain certain sensitive data, gain control, or commit any kind of abuse. Reliability, integrity, and availability represent three different aspects in the field of security that should be achieved in systems such as the Internet of Things. In this work, we present three major areas that can help to mitigate the security risks in IoT systems. Also—two methods for intrusion detection are elaborated—signature-based and anomaly-based models. In the last section of this chapter, we present a real-world example that has already been implemented in reality (Intrusion detection system based on Snort at eggs/poultry farm).

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Security Framework for Internet of Things (IoT)

Cited by 9 publications

References 8 publications

Semiotics: An Approach to Model Security Scenarios for IoT-Based Agriculture Software

Semiotics: An Approach to Model Security Scenarios for IoT-Based Agriculture Software

IoT Vulnerabilities and Attacks: SILEX Malware Case Study

Methods for Detection and Prevention of Vulnerabilities in the IoT (Internet of Things) Systems

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