Abstract
In wireless sensor networks, the adversary can easily control the compromised nodes to inject false data reports. En-route filtering is an effective mechanism to resist such attacks, where the forwarding nodes of the reports can identify and drop the false reports. However, the existing en-route filtering strategies are vulnerable to report disruption attacks and selective forwarding attacks, and the probabilities and efficiencies of en-route filtering false reports are low. To address these problems, a precheck mechanism performed by the CoS (Center-of-Stimulus) node is presented to resist report disruption attacks, a report forwarding strategy with balancing the residual energy of the nodes is designed to resist selective forwarding attacks, and an en-route message authentication scheme (EMAS) based on monitoring and reporting mechanism is proposed to resist false data injection attacks. The theoretical analysis and simulation results show that in most cases, EMAS provides a higher security level and higher en-route filtering probability and efficiency and is very efficient in energy saving.
Highlights
Wireless sensor networks (WSNs) have been applied in various applications, including military application, industrial monitoring [1, 2], agricultural monitoring [3], and health care [4]
en-route message authentication scheme (EMAS) can filter out each false report through the MAC verification and the monitoring and reporting mechanism; EMAS is more resistant to the CAAFN attack than efficient geographical information-based enroute filtering scheme (EGEFS), geographical information-based false data filtering scheme (GFFS), and statistical en-route filtering (SEF)
LREMAS is larger than LRSEF, LRGFFS, and LREGEFS, and EMAS has to spend communication overhead for ALERT messages; EMAS has stronger capability to resist the attacks than SEF, GFFS, and EGEFS, resulting in HEMAS usually being smaller than HSEF, HGFFS, and HEGEFS. erefore, EMAS still has advantages in energy expenditure for filtering out a false report in most cases, and the simulation results verify this conclusion
Summary
Wireless sensor networks (WSNs) have been applied in various applications, including military application, industrial monitoring [1, 2], agricultural monitoring [3], and health care [4]. Most of the existing en-route filtering schemes adopt simple verification methods, such as MAC (message authentication code) verification, resulting in low probability and efficiency of en-route filtering false reports To overcome these drawbacks, some effective techniques are proposed to resist various attacks, including false data injection attacks, report disruption attacks, and Security and Communication Networks selective forwarding attacks, so as to improve the system security and the en-route filtering probability and efficiency. Three copies of each event report with different endorsements forwarded in the network incurs high-energy expenditure They propose a blockchain based deterministic en-route filtering scheme [13] which can adapt to dynamic networks and mobile sinks. The en-route filtering scheme that can resist false data injection attacks, report disruption attacks, and selective forwarding attacks will be researched to improve the en-route filtering probability and efficiency, thereby saving the limited network resources
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