SAMP-RPL: secure and adaptive multipath RPL for enhanced security and reliability in heterogeneous IoT-connected low power and lossy networks

Sahraoui, Somia; Henni, Nabil

doi:10.1007/s12652-021-03303-9

Cited by 8 publications

(5 citation statements)

References 24 publications

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“…Sahraoui et al [10] had introduced improved security and reliability on heterogeneous IoT low power and loss network based secure and multipath RPL (IPv6 Routing Protocol for Low power and Lossy Networks). The authors had used an effective design that improves both communication reliability and security in heterogeneous IoT enabled low power and loss networks.…”

Section: Related Workmentioning

confidence: 99%

“…In Wireless Sensor Networks (WSN), energy effectiveness is enhanced by ideal clustering, routing, and aggregation of data alongside the adaptable sink node [8]. Many works [9,10] have focused on altering the cluster information to improve energy productivity. In cluster-based network, the sensor nodes are segregated into smaller clusters with certain model assumptions which uphold energy effectiveness and Quality of Service (QoS) through information total.…”

Section: Introductionmentioning

confidence: 99%

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Secure and Optimal LOADng Routing for IoT with Composite Routing Metric

Sharma¹,

Jain²,

Maik³

2023

Computers, Materials &Amp; Continua

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Security is the one of the major challenges for routing the data between the source and destination in an Internet of Things (IoT) network. To overcome this challenge, a secure Lightweight On-demand Ad hoc Distancevector-Next Generation (LOADng) Routing Protocol is proposed in this paper. As the LOADng protocol is the second version of Ad Hoc On-Demand Distance Vector (AODV) protocol, it retains most of the basic functionality and characteristics of AODV. During the route discovery process, the cyclic shift transposition algorithm (CSTA) is used to encrypt the control packets of the LOADng protocol to improve its security. CSTA approach only derives transposition and substitution without product cipher with respect to input data. Besides this, for choosing the best probable path between the source and destination, routing metrics such as link quality Indicator (LQI), hop count (HC) and queue length (QL) are included in the control packets. The data is then securely sent using CSTA using the optimal secure path selected. Experimental Results depict that the proposed secure and optimal LOADng (SO-LOADng) using CSTA encryption obtains better throughput, delivery ratio encryption time and decryption time than the existing state-ofart approaches.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secure and Optimal LOADng Routing for IoT with Composite Routing Metric

Sharma¹,

Jain²,

Maik³

2023

Computers, Materials &Amp; Continua

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“…In the network security professional course, the basic theory of computer network, the security of operating system and database management system, as well as cryptography and security transmission technology are the content that students need to learn [15]. Through theoretical learning and hands-on operation, the students can master the relevant knowledge and skills, and cultivate the ability and awareness to solve the network security problems.…”

Section: The Teaching Of Basic Knowledgementioning

confidence: 99%

Exploration of Network Security Professional Classroom in Higher Vocational Colleges in the Era of Big Data

2023

IJNDE

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With the rapid development of information technology, big data has gradually penetrated into all walks of life, and has had a profound impact on various fields. As higher vocational colleges, the classroom education of network security majors should also keep pace with the times and explore how to better cultivate network security talents in the era of big data. This paper mainly applies the factor analysis method to obtain the important index of network security classroom evaluation, and uses the questionnaire survey method to collect the student satisfaction data. According to the experimental and survey data, 88% of the students are satisfied with the environment of the training room. As to whether the course is combined with the reality, 68% of the students expressed satisfaction and high degree of union, and 30% thought it was general. Therefore, it is necessary to further explore this major.

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“…Increase in PDR, Impact on AE2ED DIS flooding attacker can be detected, not capable of detecting a spoofed copycat attack SAMP-RPL (6) Heterogeneous IoT, Multi-path routing security Secure multipath routing, Secure loss-driven multipath routing machine learning approach can be adopted to predict packet loss events, network conditions may lead to packet loss DETONAR (8) Detection (13) Trust-Based Secure Routing Protocol, Mobility metrics better network performance, increased scalability Yet to evaluate the critical trust metrics including mobility metrics, Optimize detection…”

Section: False Positive Rate and False Negative Ratementioning

confidence: 99%

“…In (6) proposed a technique for multipath and multi-nodes heterogeneous LLN. This technique guaranteed protection and reliability against network attacks at a low cost.…”

Section: Introductionmentioning

confidence: 99%

Secured Technique to Detect and Avoid Malicious Nodes in Internet of Things

Newton¹,

Samuel²

2022

IJST

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Objectives: To detect rank attacks during topology establishment and updated the RPL Destination Oriented Directed Acyclic Graph (DODAG) formation algorithm. The algorithm's distributed module runs across all participating nodes, while the centralized module runs in the sink. Methods: The integrity and authenticity of control messages transmitted among two nodes and the sink are verified using a lightweight Hashed Message Authentication Code -Light-weight One-way Cryptographic Hash Algorithm (HMAC-LOCHA). The Secured Technique to Detect and Avoid Malicious Nodes (STDAMN) technique is proposed to overcome the rank attack of the nodes. Findings:The proposed scheme STDAMN outperforms the LEADER and SBIDS schemes when considering 50% malicious nodes, the accuracy rate of STDAMN is 3% higher than LEADER and 17% higher than SBIDS in Security mode whereas it is 4% and 14% higher in non-security mode respectively in the decreased rank attack. Again considering 50% malicious nodes, the accuracy rate of STDAMN is 2% higher than LEADER and 13% higher than SBIDS in with-Security mode whereas it is 2.2% and 16.1% higher in without-security mode respectively in the increased rank attack. Also indeed, the false positive rate for STDAMN is lower by 72.5% and 72%, 15.3% and 21.2% whereas the false negative rate for STDAMN is lower by 77.2% and 62.1%, 32.5%, and 39.5% on average for with-security and without-security respectively than LEADER and SBIDS in the decreased rank attack. Novelty: This paper presents a rank attack detection approach for non-storing mode RPL used in IoT to cope with both increased and decreased rank attacks to address this issue. The performance of the suggested technique is assessed both conceptually and through simulation using the Contiki-based Cooja simulator. The proposed technique surpasses state-of-the-art rank attack detection techniques in terms of detection accuracy and false positive/negative rate while maintaining acceptable network performance, according to simulation results.

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SAMP-RPL: secure and adaptive multipath RPL for enhanced security and reliability in heterogeneous IoT-connected low power and lossy networks

Cited by 8 publications

References 24 publications

Secure and Optimal LOADng Routing for IoT with Composite Routing Metric

Secure and Optimal LOADng Routing for IoT with Composite Routing Metric

Exploration of Network Security Professional Classroom in Higher Vocational Colleges in the Era of Big Data

Secured Technique to Detect and Avoid Malicious Nodes in Internet of Things

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