Security in Internet of Things: RPL Attacks Taxonomy

Azzedin, Farag; Albinali, Hussah

doi:10.1145/3508072.3512286

Cited by 12 publications

(5 citation statements)

References 30 publications

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“…It is essential to evaluate whether the LSDT scheme can accommodate a large-scale deployment without compromising its performance and efficiency. Furthermore, it is important to study the potential impact of network latency and packet loss on the effectiveness of the LSDT scheme, as these factors hold significant importance in IoT environments [15]. By conducting a comprehensive study on how these issues can affect the scheme's performance, we can better understand the practical implications and optimize the scheme accordingly.…”

Section: Research Limitationsmentioning

confidence: 99%

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Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Al-Hejri,

Azzedin,

Almuhammadi

et al. 2024

CMC

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The use of the Internet of Things (IoT) is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of devices. In critical infrastructure domains like oil and gas supply, intelligent transportation, power grids, and autonomous agriculture, it is essential to guarantee the confidentiality, integrity, and authenticity of data collected and exchanged. However, the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic techniques. Consequently, designing a lightweight secure data transmission scheme is becoming essential. In this article, we propose lightweight secure data transmission (LSDT) scheme for IoT environments. LSDT consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement protocol. We design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation costs. Security and performance analysis indicates that the LSDT scheme is secure, suitable for IoT applications, and performs better in comparison to other related security schemes.

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Section: Research Limitationsmentioning

confidence: 99%

“…Data transmission schemes can play a crucial role in overcoming or mitigating these challenges faced by IoT devices [15]. By employing our proposed lightweight secure data transmission (LSDT) scheme, the confidentiality and integrity of data exchanged between IoT devices and other components can be ensured.…”

Section: Introductionmentioning

confidence: 99%

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Al-Hejri,

Azzedin,

Almuhammadi

et al. 2024

CMC

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“…Several works have introduced taxonomies to classify RPL attacks [13], [15], [59], [73]. The first RPL attacks taxonomy was proposed by Mayzaud et al [15].…”

Section: Proposed Rpl Replay Attacks Taxonomymentioning

confidence: 99%

Replay Attacks in RPL-Based Internet of Things: Survey and Empirical Comparative Study

Albinali,

Azzedin

2023

Preprint

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RPL was developed as a routing protocol in low-power and lossy network contexts to connect many applications using IP-based communication. However, RPL has been subjected to several attacks, including replay attacks. Replay attacks pose significant challenges as any node can initiate the attack by replaying control messages. These messages play a vital role in establishing and sustaining network topology. However, studies that discourse replay attacks are severely limited. To address this issue, we conducted a comprehensive study on replay attack forms and their impact on RPL networks. Our study includes the latest security countermeasures. According to the literature, most RPL replay attacks rely on replaying DIO messages leading to neighbor, DIO suppression, or copycat attacks. DAO messages are also utilized to launch a replay attack. Nevertheless, the literature lacks any study that analyzes DAO replay attacks. To the best of our knowledge, this is the first study that evaluates DAO replay attacks and includes the route table falsification attack.We conduct a comparative study of these attacks and empirically investigate their impact on networks through extensive evaluation experiments. Our findings verify the harm of replay attacks in terms of packet delivery and latency. The average local delivery ratio dropped to less than 60% under DIO suppression and copycat attacks, and the communication latency increased by 50% under neighbor attacks. These results confirm the threat of replay attacks on RPL networks and the need to design countermeasures to mitigate them.

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“…These IoT devices are prevalent in diverse domains, including health care, smart cities, energy, smart homes, and industry. However, the IoT’s rapid development has resulted in potential areas of attack and created attractive targets in the form of weaknesses or vulnerabilities in the system [ 2 , 3 , 4 ]. Breaches in the security of IoT devices and networks can lead to disruption of system infrastructure, privacy violations, and other issues.…”

Section: Introductionmentioning

confidence: 99%

Effective Feature Engineering Framework for Securing MQTT Protocol in IoT Environments

Al Hanif,

Ilyas

2024

Sensors

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The explosive growth of the domain of the Internet of things (IoT) network devices has resulted in unparalleled ease of productivity, convenience, and automation, with Message Queuing Telemetry Transport (MQTT) protocol being widely recognized as an essential communication standard in IoT environments. MQTT enables fast and lightweight communication between IoT devices to facilitate data exchange, but this flexibility also exposes MQTT to significant security vulnerabilities and challenges that demand highly robust security. This paper aims to enhance the detection efficiency of an MQTT traffic intrusion detection system (IDS). Our proposed approach includes the development of a binary balanced MQTT dataset with an effective feature engineering and machine learning framework to enhance the security of MQTT traffic. Our feature selection analysis and comparison demonstrates that selecting a 10-feature model provides the highest effectiveness, as it shows significant advantages in terms of constant accuracy and superior training and testing times across all models. The results of this study show that the framework has the capability to enhance the efficiency of an IDS for MQTT traffic, with more than 96% accuracy, precision, recall, F1-score, and ROC, and it outperformed the most recent study that used the same dataset.

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Security in Internet of Things: RPL Attacks Taxonomy

Cited by 12 publications

References 30 publications

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Applications

Replay Attacks in RPL-Based Internet of Things: Survey and Empirical Comparative Study

Effective Feature Engineering Framework for Securing MQTT Protocol in IoT Environments

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