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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Paper ID:10.55041/IJSREM.RACCES006

Active Trust: Secure and Trustable Routing in Wireless Sensor Network

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.RACCES006

Volume:

10 |

4 |

April 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.RACCES006

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AR

Anbarasi R

Department of Computer Science and Engineering

Bharathiyar Institute of Engineering for Women(Autonomous),Salem, Tamilnadu, India

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JR

Janani R

Department of Computer Science and Engineering

Bharathiyar Institute of Engineering for Women(Autonomous),Salem, Tamilnadu, India

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DG

Devika G

Department of Computer Science and Engineering

Bharathiyar Institute of Engineering for Women(Autonomous),Salem, Tamilnadu, India

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Mentors

AR

Aruloli R

Department of Computer Science and Engineering

Bharathiyar Institute of Engineering for Women(Autonomous),Salem, Tamilnadu, India

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Abstract

Wireless Sensor Networks (WSNs) are widely used in many applications such as environmental monitoring, healthcare systems, military surveillance, and smart cities. These networks consist of a large number of sensor nodes that collect and transmit data to a base station through wireless communication. However, due to their limited resources, open wireless medium, and distributed nature, WSNs are highly vulnerable to various security threats such as packet dropping, false data injection, and malicious node attacks. Ensuring secure and reliable routing is therefore a critical challenge in WSNs. The ActiveTrust mechanism is proposed to provide secure and trustable routing in Wireless Sensor Networks. The main objective of ActiveTrust is to identify trustworthy nodes and avoid malicious nodes during data transmission. In this approach, each sensor node evaluates the behavior of its neighboring nodes by monitoring packet forwarding activities. Based on this observation, trust values are calculated for each node. Nodes with higher trust values are considered reliable and are selected for routing, while nodes with low trust values are treated as suspicious or malicious and excluded from the routing path.

KEYWORDS

Secure and Trustable Routing

Cite This Article

Anbarasi R, Janani R, Devika G, Aruloli R, "Active Trust: Secure and Trustable Routing in Wireless Sensor Network," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-4, April 2026. https://doi.org/10.55041/ijsrem.RACCES006

Full Article/Conclusion

The proposed ActiveTrust secure and trustable routing system in Wireless Sensor Networks (WSN) improves the security and reliability of data transmission in the network. In this approach, trust values are calculated for each sensor node based on its behavior during communication. Nodes that behave normally and forward packets correctly are given higher trust values, while nodes that drop packets or act abnormally are identified as malicious nodes. By detecting and isolating malicious nodes, the system prevents them from participating in the routing process. The ActiveTrust mechanism selectsrouting paths only through trusted nodes, which helps in ensuring secure and efficient communication between the source node and the base station. This method also considers energy efficiency while selecting routing paths, which helps in extending the network lifetime.

References

1] Y. Hu, M. Dong, K. Ota, et al., “Mobile Target Detection in Wireless Sensor Networks with Adjustable Sensing Frequency,” IEEE Systems Journal, 2014. [2] M. Dong, K. Ota, A. Liu, et al., “Joint Optimization of Lifetime and Transport Delay under Reliability Constraint in Wireless Sensor Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 1, pp. 225–236, 2016. [3] S. He, J. Chen, F. Jiang, et al., “Energy Provisioning in Wireless Rechargeable Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 12, no. 10, pp. 1931–1942, 2013. [4] X. Liu, M. Dong, K. Ota, P. Hung, A. Liu, “Service Pricing Decision in Cyber-Physical Systems: Insights from Game Theory,” IEEE Transactions on Services Computing, vol. 9, no. 2, pp. 186–198, 2016. [5] C. Zhu, H. Nicanfar, V. C. M. Leung, et al., “An Authenticated Trust and Reputation Calculation and Management System for Cloud and Sensor Networks Integration,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 1, pp. 118–131, 2015. [6] A. Liu, M. Dong, K. Ota, et al., “PHACK: An Efficient Scheme for Selective Forwarding Attack Detecting in WSNs,” Sensors, vol. 15, no. 12, pp. 30942–30963, 2015. [7] A. Liu, X. Jin, G. Cui, Z. Chen, “Deployment Guidelines for Achieving Maximum Lifetime and Avoiding Energy Holes in Sensor Networks,” Information Sciences, vol. 230, pp. 197–226, 2013. [8] Z. Zheng, A. Liu, L. Cai, et al., “Energy and Memory Efficient Clone Detection in Wireless Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 15, no. 5, pp. 1130–1143, 2016. [9] T. Shu, M. Krunz, S. Liu, “Secure Data Collection in Wireless Sensor Networks Using Randomized Dispersive Routes,” IEEE Transactions on Mobile Computing, vol. 9, no. 7, pp. 941–954, 2010. [10] P. Zhou, S. Jiang, A. Irissappane, et al., “Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 3, pp. 613–625, 2015.

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Publication Date

5/1/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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