Network Admission Control Solution for 6LoWPAN Networks Based on Symmetric Key Mechanisms

Oliveira, Luís M. L.; Rodrigues, Joel J. P. C.; Sousa, Amaro de; Денисов, В. М.

doi:10.1109/tii.2016.2601562

Cited by 27 publications

(14 citation statements)

References 14 publications

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“…A possible way to attack a WSN that implements message authentication is to exhaust the limited power of the sensor nodes by sending a large number of fake messages (e.g., flood attacks). However, the attack can be effectively resisted by randomly pre-allocating coupled keys to adjacent nodes or any pair of sensor nodes [17,18].…”

Section: Related Workmentioning

confidence: 99%

Information-Aware Secure Routing in Wireless Sensor Networks

Shi

Ding

et al. 2019

Sensors

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Secure routing is crucial for wireless sensor networks (WSNs) because they are vulnerable to various attacks. In this paper, we propose a new secure routing protocol for WSNs in the presence of malicious nodes. For each relay node in the route, associated information such as its trust value and status is considered in the protocol. The trust value is defined as the attack probability of the node according to previous packet-forwarding behaviors, and the status is a hybrid metric that combines the residual energy and distance to the sink node. Therefore, the route generated by the protocol is secure against malicious attacks and globally optimal according to the associated information. We used an improved variant of the Dijkstra algorithm to generate the secure route for WSNs in the presence of malicious nodes. Compared with the Reputation-Based Mechanism to Stimulate Cooperation (RBMSC) model in the same simulation environment, the proposed model can maintain a higher delivery ratio, which verifies the effectiveness of the proposed model on the basis of global optimization. Furthermore, compared with the traditional Dijkstra algorithm, the packet loss ratio in the improved Dijkstra algorithm is lower because it can more effectively avoid malicious nodes, thus verifying the effectiveness of the improved algorithm.

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Section: Related Workmentioning

confidence: 99%

Information-Aware Secure Routing in Wireless Sensor Networks

Shi

Ding

et al. 2019

Sensors

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“…Lowpower, IP-driven nodes and wide range of mesh network support make this technology a great preference for Internet of Things applications. As the full name imply like as follows: "IPv6 over Low-Power Wireless Personal Area Networks" -6LoWPAN [5] is a networking technology or adaptation layer that allows IPv6 packets to be conceded efficiently within small link layer frames, such as those defined by IEEE 802.15.4.…”

Section: B 6lowpan Architecturementioning

confidence: 99%

Performance Comparison of Black Hole Attack Detection Mechanism in 6lowpan Over Manet

Sujatha¹

2018

ijarcs

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Black Hole Attack is the most vulnerable attacks in the network layer of wireless environment. In MANET, the existing techniques were proposed to detection and mitigate the black hole attacks. Thus the environment of the MANET which is differs from the 6LoWPAN Network. The cluster based nodes are connected together to form an MANET and also these type of architecture may have used in the 6LoWPAN Network. In MANET, it should be connected with the environment of mobile nodes itself rather; in 6LoWPAN architecture the mobile nodes are connected to form a network and also the nodes in the clusters can be connect with the internet through the gateway. The severity of attacks may differ from the environment to environment. Thus the malicious nodes may vulnerable within the range of MANET. It only can be able to connect with the nodes in the MANET rather it is most vulnerable thing is to detect the black hole attack from the nodes which are connected with the internet through the gateway. In this cluster based routing protocol implementation is proposed and the performance of the black hole attack detection can be analyzed and comparatively discussed with their results based on the parameters such as positive detection rate and energy consumption for packet overhead in the attack detection.

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“…For example, for people leaving for work, the intelligent alarm clock collects three factors through database system and sensor: outside weather conditions, traffic conditions, and users' routes to their destinations. After integrating the data, the fuzzy control is used to estimate the lead time required to reach the destination and inform the user in advance that he/she should be away from home [9].…”

Section: Research Status Of Smart Homementioning

confidence: 99%

Research on Self Organizing of Internet of Things Nodes in Closed Area

Guiyang¹

2018

JCC

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In this paper, the intelligent application we designed focuses on a closed family area. ZigBee technology is mainly used to achieve the remote control. The most popular Android system is used in the design. The operation interface on the home intelligent gateway is completed through the designed system. It can allow people the full control by using smartphones. The system is operated and controlled through touch panel. Furthermore, it can be controlled remotely by using smartphones. ZigBee module is expected to be used to allow these devices to perform data transmission and collection. Some additional machinery, control circuits, and sensors will be designed for doors and windows. For example, a motor and a control circuit are installed to control doors and windows, and ZigBee is used to control the power input and drive the motor. Antitheft sensors, such as infrared sensors or light sensors, are installed to monitor the objects. Home gateway can collect ZigBee information on doors and windows, and an interactive mechanism is designed to take effective remote control.

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Network Admission Control Solution for 6LoWPAN Networks Based on Symmetric Key Mechanisms

Cited by 27 publications

References 14 publications

Information-Aware Secure Routing in Wireless Sensor Networks

Information-Aware Secure Routing in Wireless Sensor Networks

Performance Comparison of Black Hole Attack Detection Mechanism in 6lowpan Over Manet

Research on Self Organizing of Internet of Things Nodes in Closed Area

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