GSR: Geographic Secured Routing using SHA-3 algorithm for node and message authentication in wireless sensor networks

Laxmi, B. Prathusha; Chilambuchelvan, A.

doi:10.1016/j.future.2017.05.015

Cited by 10 publications

(5 citation statements)

References 11 publications

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“…Additionally, it can provide high delivery rates in a dense network. The central strategy of these algorithms is based on reliance on geographic location information (i.e., latitude, longitude) of the sensor nodes to create packet flow paths to the desired destination [ 17 , 18 , 19 ]. In traditional geographic routing, the greedy forwarding mechanism is responsible for packet forwarding and is performed as follows: each node needs to know the position of its one-hop distance beyond the location of the final destination of the packets.…”

Section: Related Workmentioning

confidence: 99%

PAtCH: Proactive Approach to Circumvent Holes in Wireless Sensor Networks

Lima,

Sardinha,

Balico

et al. 2023

Sensors

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The occurrence of hole regions in Wireless Sensor Networks is a significant challenge when applying a greedy technique in a geographic routing approach. The local minimum phenomenon is commonly attributed to physical obstacles, energy depletion of the nodes, failures in communication between neighbors, or even the incorrect deployment of the nodes in the sensing field. To address the problem of hole regions, most approaches choose to abandon the traditional greedy forwarding mechanism to temporarily adopt the well-known perimeter routing scheme applied to nearby nodes or along the edge of a region of a hole. However, this mechanism does not satisfy the network load balance requirement, because it imposes too much traffic to the nodes in the hole’s edge, making them overloaded when compared to other network nodes more distant from holes. In this work, we propose a novel location-free geographic routing technique called PAtCH (Proactive Approach to Circumvent Holes in Wireless Sensor Network) to avoid routing holes in WSNs. Our solution can circumvent hole regions and create routing paths toward the destination. We consider that our sink has a higher communication range, and the Received Signal Strength Indicator (RSSI) is used to assist the construction of the routing paths. Our results show the efficiency achieved by our proposed solution in scenarios with hole regions, also maintaining all the benefits of a classic greedy forwarding technique.

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Section: Related Workmentioning

confidence: 99%

PAtCH: Proactive Approach to Circumvent Holes in Wireless Sensor Networks

Lima,

Sardinha,

Balico

et al. 2023

Sensors

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“…All routing protocols are related to their mechanism of localisation and cannot be isolated from them. García-Otero et al (2010) proposed a lightweight method that consists of localisation and intrusion identification techniques using a distrusted trust model to thwart several security attacks.Prathusha Laxmi & Chilambuchelvan (2017) proposed secure geographic routing (GSR), which has been modified from SecuTPGF. GSR's advantage is that it uses low computational power to combat security attacks such as spoofing and an assault on Sybil by introducing SHA-3 nodes and message authentication.…”

Section: Trustmentioning

confidence: 99%

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

Arshad

Hanapi

Subramaniam

et al. 2021

PeerJ Computer Science

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Wireless sensor networks (WSN) have been among the most prevalent wireless innovations over the years exciting new Internet of Things (IoT) applications. IoT based WSN integrated with Internet Protocol IP allows any physical objects with sensors to be connected ubiquitously and send real-time data to the server connected to the Internet gate. Security in WSN remains an ongoing research trend that falls under the IoT paradigm. A WSN node deployed in a hostile environment is likely to open security attacks such as Sybil attack due to its distributed architecture and network contention implemented in the routing protocol. In a Sybil attack, an adversary illegally advertises several false identities or a single identity that may occur at several locations called Sybil nodes. Therefore, in this paper, we give a survey of the most up-to-date assured methods to defend from the Sybil attack. The Sybil attack countermeasures includes encryption, trust, received signal indicator (RSSI), encryption and artificial intelligence. Specifically, we survey different methods, along with their advantages and disadvantages, to mitigate the Sybil attack. We discussed the lesson learned and the future avenues of study and open issues in WSN security analysis.

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“…The Internet of Things (IoT) network is made up of small devices commonly known as sensor nodes that are used in physical and environmental conditions to monitor a wide range of parameters including temperature, pressure, light, heat, motion, sound, vibration and many more. These sensor nodes are often deployed in risky and unattended territory where they accumulate myriad types of environmental data and transmit it to the base station or sink node via hop-by-hop or intermediate nodes for further processing [1][2][3][4][5][6][7]. The IoT networks have been the buzz of the contemporary period due to their amazing effects that have taken the globe by storm.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Secure Fog Based Routing Mechanism in IoT Network

Malik,

Tanveer,

Anwar

et al. 2023

Mathematics

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The Internet of Things (IoT) networks are the most prone to internal as well as external attacks in addition to energy consumption problems. Conventional security solutions are not able to address these issues effectively due to the limited resources of sensor nodes participating in IoT communications. In this work, an Efficient and Secure Fog Based Routing Mechanism (ESFRM) is proposed to protect the network from faulty internal as well as external attacks. Every node participating in IoT communications calculates the comprehensive trust value of the next intermediate node which is the addition of direct trust, indirect trust and energy trust values before forwarding the data. This comprehensive trust value is then compared with the comprehensive threshold trust value to decide whether the particular node is a rogue node or a valid normal node. Further, an enhanced RSA (Rivest, Shamir, Adleman) algorithm is implemented to provide three levels of data security from Cluster Head (CH) to fog node, from fog node to cloud server and directly from CH to cloud server. For this purpose, an efficient CH selection technique is also proposed in this work. The proposed methodology is compared with the Secure Energy-efficient Fog-based Routing (SEFR) protocol and Trust-aware Secure Routing Protocol (TSRP). The evaluation results show that the proposed ESFRM outperforms the conventional schemes with respect to energy consumption, malicious node detection and transmission rate.

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GSR: Geographic Secured Routing using SHA-3 algorithm for node and message authentication in wireless sensor networks

Cited by 10 publications

References 11 publications

PAtCH: Proactive Approach to Circumvent Holes in Wireless Sensor Networks

PAtCH: Proactive Approach to Circumvent Holes in Wireless Sensor Networks

A survey of Sybil attack countermeasures in IoT-based wireless sensor networks

An Efficient and Secure Fog Based Routing Mechanism in IoT Network

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