Assessment of Routing Attacks and Mitigation Techniques with RPL Control Messages: A Survey

Bang, Ankur; Rao, Udai Pratap; Kaliyar, Pallavi; Conti, Mauro

doi:10.1145/3494524

Cited by 28 publications

(12 citation statements)

References 93 publications

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“…To handle Sybil attack issues in the WSN applications employed in digital transportation, Syed et al [78], proposed a two-phase securitybased framework utilizing Public Key Infrastructure (PKI) and hash function algorithms. Different Sybil attacks counteractions are discussed in references [79], if anyone is interested to explore this topic, we suggest them to follow the highlighted survey articles.…”

Section: B Network Layer Counteraction Schemes Of Swsnmentioning

confidence: 99%

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

Adil

Menon²,

Balasubramanian

et al. 2023

IEEE Sensors J.

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Section: B Network Layer Counteraction Schemes Of Swsnmentioning

confidence: 99%

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

Adil

Menon²,

Balasubramanian

et al. 2023

IEEE Sensors J.

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“…The rise in the number and sophistication of unknown cyber-attacks, on the other hand, has cast a pall over the adoption of these smart services. This is due to the fact that the diversity and distribution of IoT applications/services make IoT security hard and di cult [7], [3]. Furthermore, because of the unique service requirements of IoT, which cannot be met by centralized methods, attack detection in IoT is drastically different from previous techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Firewalls alone are insu cient to secure the network due to dynamic topology and di culty in having physical access. [3] authors have analyzed routing security in RPL routing protocol for lossy networks especially those having low power as in the case of IoT. The authors have given a complete statistical analysis involving various mitigation techniques used in RPL-based networks.…”

Section: Introductionmentioning

confidence: 99%

Detection Mechanism in IoT framework using Artificial Neural Networks

Jain¹,

Dhand

Sheoran

et al. 2023

Preprint

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Internet of Things (IoT) applications are now used more frequently due to the rapid expansion of wireless networking and the digital revolution. IoT helps in user-to-machine and machine-to-machine interaction. IoT objects have gained popularity because they can be accessed from anywhere. Healthcare, agriculture, smart cities, and the military are different domains where IoT objects are communicating with each other. The goal of anomaly-based techniques is to figure out which patterns are normal and which are aberrant. This approach of intrusion detection has the benefit of detecting original works of authorship intrusions. However, this technique has the drawback of frequently producing false positive results. To increase the effectiveness of anomaly-based intrusion detection methods, machine learning techniques are being evaluated. Anomaly-based intrusion detection techniques can be used by machine learning algorithms to watch active behavior and compare it to known intrusion footprints in order to stay aware of potential future attacks. In a hybrid approach, different identifying methods are combined in the same scheme. This technique will eliminate the weaknesses of a particular operation while improving the overall IoT system's reliability. In this research, we study intrusion-based systems using comparative analysis of several machine learning and deep learning algorithms. In the proposed work one hot encoding technique is used to deal with the categorical data. Different parameters like accuracy, F-1 score, precision, and recall value have been calculated. Experimental results prove that ANN yields 99.61% accuracy over other hybrid models. However, in Machine Learning, RandomForestClassifier yields the best results.

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“…As smart applications collect sensitive data, it is important to consider security and privacy issues at different levels of the architecture while designing and implementing these applications [8]. One of these security concerns is securing data transmission between IoT devices by ensuring confidentiality, authentication, and integrity in data routing [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

“…As such, many researchers have examined IoT security challenges [9], [12]- [15]. According to the literature, Raoof et al [13] and Mayzaud et al in [15] illustrated more than 15 types of RPL attacks.…”

Section: Introductionmentioning

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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Assessment of Routing Attacks and Mitigation Techniques with RPL Control Messages: A Survey

Cited by 28 publications

References 93 publications

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

Survey: Self-Empowered Wireless Sensor Networks Security Taxonomy, Challenges, and Future Research Directions

Detection Mechanism in IoT framework using Artificial Neural Networks

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

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