Node Scheduling for All-Directional Intrusion Detection in SDR-Based 3D WSNs

Lin, Kai; Xu, Tianlang; Song, Jeungeun; Qian, Yongxian; Sun, Yanming

doi:10.1109/jsen.2016.2558043

Cited by 13 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the limited delay mechanism is employed in the scheduling schemes to ensure that all the data can be collected within the monitoring area. Liu et al [24] derived the mathematical relationships among the QoC, the size of the network monitoring area, the sensing range of the nodes, and the node density. Again, the location information is not needed for the QoC during the derivation.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

Sun

Zhao

Xing

2018

J Wireless Com Network

View full text Add to dashboard Cite

The node deployment in mobile sensor networks (MSNs) is mostly performed in a random method. However, a large number of redundant nodes may exist due to the randomness. As a result, severe data congestion may be caused and the quality of coverage (QoC) is undermined. In order to solve this QoC problem, we propose an Energy-efficient Nonlinear Coverage Control Protocol (ENCP). This protocol utilizes the normal distribution to calculate the minimal number of sensors which is required to guarantee coverage over the monitoring area. We also balance the node energy consumption and achieve the collaborative scheduling among all the sensor nodes. Meanwhile, when a certain QoC is guaranteed, we present the calculation model for the normal distribution of the sensing ranges and the proportional relationship between different parameters in the QoC function. Finally, simulation results show that the ENCP could not only improve the network QoC and network coverage rate but also effectively control the energy exhaustion at the nodes. Therefore, the network lifetime can be effectively prolonged.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Then, by the local node scheduling of the ENCP, redundant nodes are switched to the sleep node to achieve the uniform coverage within the monitoring range. To balance the node energy consumption in the network, the K candidate nodes are chosen in the same way the cluster heads are chosen in [24].…”

Section: Set Value Of Kmentioning

confidence: 99%

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

Sun

Zhao

Xing

2018

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Kai Lin (2016) et.al [21] introduced a new globoid model to assess for the quality of all-directional detection during efficiently network saving the energy, dividing the sensing field into the outermost shell and interior region. Initially, they present an outermost shell coverage algorithm to ensure intruding events ' recognition performance.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Intrusion Detection System for SDWSN using Random Forest (RF) Machine Learning Approach

Indira¹,

Sakthi²

2020

IJACSA

View full text Add to dashboard Cite

It is indeed an established fact which network security systems had certain technical problems that mostly tends to lead to security risks. Nowadays, Attackers could still continue to abuse the security vulnerabilities as well as shatter the systems and networks, and is quite pricey and even sometimes extremely difficult to resolve all layout and computing faults. The above appears to suggest that methodologies relying on preventive measures seem to be no longer secure and perhaps tracking of intrusion is necessary as a last line of defense. A Hybrid in Software Defined Wireless Sensor Network (SDWSN) the Intrusion Detection System is designed for this paper which really incorporates the benefits of Salp Swarm Optimization (SSO) algorithm as well as the classification of Machine Learning method it is based upon Random Forest (RF). We propose SSO optimization procedures to guarantee that the ideal features for the intrusion detector are chosen and in addition for improving the Random Forest (RF) classifier detection efficiency. To assess / calculate the reliability of the proposed approach here we make use of the generic NSL KDD dataset. Therefore, our proposed hybrid IDS-SSO-RF classifier further analyzes these detected abnormal activities. The known and unknown attacks are also identified. Hybrid framework also shown by the experimental results can reliably detect anomaly behavior and obtains better results in terms in terms of delay, delivery ratio, drop overhead, energy consumption and throughput.

show abstract

“…However, sensor nodes usually have different security levels or possess different security weights depending on the information they possess. Thus, the proposed IDS schemes cannot be adopted directly in WSNs [11]. It is seriously urgent to design an intrusion detection scheme to take into consideration both the security weights and the resource constraints [12].…”

Section: Introductionmentioning

confidence: 99%

Bayesian Rules Based Optimal Defense Strategies for Clustered WSNs

Zhou¹,

Yu²

2018

KSII TIIS

View full text Add to dashboard Cite

Considering the topology of hierarchical tree structure, each cluster in WSNs is faced with various attacks launched by malicious nodes, which include network eavesdropping, channel interference and data tampering. The existing intrusion detection algorithm does not take into consideration the resource constraints of cluster heads and sensor nodes. Due to application requirements, sensor nodes in WSNs are deployed with approximately uncorrelated security weights. In our study, a novel and versatile intrusion detection system (IDS) for the optimal defense strategy is primarily introduced. Given the flexibility that wireless communication provides, it is unreasonable to expect malicious nodes will demonstrate a fixed behavior over time. Instead, malicious nodes can dynamically update the attack strategy in response to the IDS in each game stage. Thus, a multi-stage intrusion detection game (MIDG) based on Bayesian rules is proposed. In order to formulate the solution of MIDG, an in-depth analysis on the Bayesian equilibrium is performed iteratively. Depending on the MIDG theoretical analysis, the optimal behaviors of rational attackers and defenders are derived and calculated accurately. The numerical experimental results validate the effectiveness and robustness of the proposed scheme.

show abstract

Node Scheduling for All-Directional Intrusion Detection in SDR-Based 3D WSNs

Cited by 13 publications

References 28 publications

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

A Hybrid Intrusion Detection System for SDWSN using Random Forest (RF) Machine Learning Approach

Bayesian Rules Based Optimal Defense Strategies for Clustered WSNs

Contact Info

Product

Resources

About