A New Key Predistribution Scheme for Multiphase Sensor Networks Using a New Deployment Model

Zhou, Boqing; Wang, Jianxin; Li, Sujun; Wang, Weiping

doi:10.1155/2014/573913

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…In addition, in WSNs, existing researches show that schemes based on deployment knowledge can significantly improve the security performance of the entire network [16]- [20]. In these schemes, the entire network is divided into multiple cells, each cell has a local key pool, and only these local key pools of adjacent cells share some common keys.…”

Section: A Motivationmentioning

confidence: 99%

“…However, local connectivity of the scheme ESPK decreases with the increase of the number of the deployment phase. The above deficiency is improved by the scheme proposed in [20]. For applications with large deployment errors, Zhou et al [21] proposed a layer model.…”

Section: Related Workmentioning

confidence: 99%

“…In this model, each cell is a basic cell, each basic cell has T-layer association cells which are around it, and shared keys between a basic cell and its T-layer association cells are realized by using 3-D backward key chains. This model not only applies to existing schemes [16]- [20], but also can improve these schemes' performance when deployment error is large. In these above schemes, each deployment cell has a local key pool whose size is fixed.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient Authentication Scheme Based on Deployment Knowledge Against Mobile Sink Replication Attack in UWSNs

Zhou

Wang

et al. 2019

IEEE Internet Things J.

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Unattended wireless sensor networks (UWSNs) are vulnerable to mobile sink (MS) replication attack. In this attack, using the compromised key information, an attacker can collect data from networks by impersonating sinks. To resist such an attack, some schemes have been proposed. To improve the resilience of MS replication attack of these schemes, we can integrate them with schemes based on deployment knowledge. However, there are the following defects: 1) the probability of mutual authentication between a MS and a sensor node is less than 1 and 2) during the authentication phase, the energy consumption of sensor nodes increases significantly as the deployment area expands. In this paper, we construct 3-D backward key chains based on deployment knowledge and propose a new authentication scheme based on these. As compared with these existing related schemes, the detailed theory analysis and simulation results indicate that the scheme can ensure that a MS can be authenticated by sensor nodes, and can improve the resilience of networks' MS replication attack with low energy consumption. Index Terms-3-D backward key chain based on deployment knowledge, authentication, mobile sink (MS) replication attack, unattended wireless sensor networks (UWSNs).

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Section: A Motivationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An Efficient Authentication Scheme Based on Deployment Knowledge Against Mobile Sink Replication Attack in UWSNs

Zhou

Wang

et al. 2019

IEEE Internet Things J.

Self Cite

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“…The symmetric key approach is an appropriate cryptography for wireless sensors due to its low energy consumption and simple hardware requirements, but the distribution of symmetric keys into sensor nodes presents a significant challenge [5]. Many researchers [6][7][8][9][10][11] have focused on this area recently and proposed several key management schemes to establish the session key between sensor nodes. However, these schemes [6][7][8][9][10][11] do not support mobile users directly accessing cluster node data via mobile device.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers [6][7][8][9][10][11] have focused on this area recently and proposed several key management schemes to establish the session key between sensor nodes. However, these schemes [6][7][8][9][10][11] do not support mobile users directly accessing cluster node data via mobile device. For example, 2 Journal of Sensors the administrators of farms or nuclear power plants can use mobile devices to gain access to the monitor data at any time from any place, rather than logging into the monitor system.…”

Section: Introductionmentioning

confidence: 99%

Mobile Device Based Dynamic Key Management Protocols for Wireless Sensor Networks

Chen

2015

Journal of Sensors

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In recent years, wireless sensor network (WSN) applications have tended to transmit data hop by hop, from sensor nodes through cluster nodes to the base station. As a result, users must collect data from the base station. This study considers two different applications: hop by hop transmission of data from cluster nodes to the base station and the direct access to cluster nodes data by mobile users via mobile devices. Due to the hardware limitations of WSNs, some low-cost operations such as symmetric cryptographic algorithms and hash functions are used to implement a dynamic key management. The session key can be updated to prevent threats of attack from each communication. With these methods, the data gathered in wireless sensor networks can be more securely communicated. Moreover, the proposed scheme is analyzed and compared with related schemes. In addition, an NS2 simulation is developed in which the experimental results show that the designed communication protocol is workable.

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Energy harvesting in wireless sensor networks: A taxonomic survey

2020

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Wireless sensor networks (WSNs) have aroused the conspectus attention of scholars due to their extensive deployment in the emerging fields of the Internet of Things (IoT's) and self-driven devices. But WSNs technologies having a major bottleneck has been associated with limited energy. Mostly research in WSNs has been focused on minimizing energy usage to extend the survival time of limited power source in a network. Energy harvesting can be addressing its energy-scarcity problem of WSNs, so it is giving popularity to Energy Harvesting in Wireless Sensor Networks (EH-WSNs). The paper presents a comprehensive taxonomic survey on recently energy harvesting techniques and algorithms that proposed by various authors and also examined the work done by the various researchers in the field of EH-WSNs. For the ready reference of the researchers, a concise summary and comparative analysis of various promising techniques for energy harvesting have also been included in the systematic survey. However, many equipment developed using the hybridization method in a singular package to get full advantages of available free energy, are explored in this review. The review on hybrid energy harvesting (HEH) systems can be considered as the originality of this article. However, the outdoor photovoltaics have been provided maximum power density about ≈100 mW/cm 3 , and the piezoelectric harvesters have been given maximum voltage about 325 V but the current in very minute amount. The thermoelectric, rectenna and hybrid energy harvesters (EHs) have been given high efficiency more than 80%. Additionally, hybrid EHs have location/timeindependent characteristics which harnessed power from more than one source that can be became more popular for upcoming leading technologies of self-driven or autonomous devices shifting from battery operated devices. Finally, the survey also identifies often challenges and various significant issues that still essential to be addressed to develop a cost effective, efficient, long-lasting, and almost maintenance-free energy harvesting systems for WSNs along with trail to their possible solutions for future perspectives.

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A New Key Predistribution Scheme for Multiphase Sensor Networks Using a New Deployment Model

Cited by 12 publications

References 26 publications

An Efficient Authentication Scheme Based on Deployment Knowledge Against Mobile Sink Replication Attack in UWSNs

An Efficient Authentication Scheme Based on Deployment Knowledge Against Mobile Sink Replication Attack in UWSNs

Mobile Device Based Dynamic Key Management Protocols for Wireless Sensor Networks

Energy harvesting in wireless sensor networks: A taxonomic survey

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