approximate triangular interior point test positioning algorithm for resisting Sybil attacks

Abstract

The invention discloses an approximate triangular interior point test positioning algorithm for resisting Sybil attacks. Sybil attacks appearing in an APIT node positioning algorithm are solved. carrying out safety detection on each anchor node; The invention provides an approximate triangular interior point test positioning algorithm for resisting Sybil attacks. According to the algorithm, the number of common neighbor nodes of each pair of anchor nodes and the number of common neighbor nodes of three anchor nodes in a triangle are counted and analyzed; The method comprises the following steps: S1, obtaining a preliminary suspicious Sybil node result, and on the basis, analyzing the signal strength received by each common neighbor node from the pair of anchor nodes to obtain a final Sybilnode and deleting the final Sybil node from the network. Compared with an existing Sybil node attack-free approximate triangle interior point test (SF-APIT) positioning algorithm, the method has higher detection accuracy and stability, so that better network security and node positioning precision can be obtained.

Description

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AI Technical Summary

Benefits of technology

This new method uses an approximation technique called compound triangular indoor location testing (CSLT). It allows for more accurate measurements than previous methods without being affected by any other factors like weather or radioactive radiation. Additionally it provides greater flexibility when selecting different levels within specific areas based on their importance during design process compared to current techniques such as SF-AIPT.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the ability of sensory nets (NSNs). These NEs use tiny electronic components called gems that provide data about positions within them. They rely heavily upon battery power from batteries because they require frequent recharges during operation. To address this issue, there was developed a technique known as "Sixteen Ball Localization," where individual nodes were located accurately without requiring complex calculations. Additionally, certain techniques like advanced cryptography also work well when dealing with challenged locations.

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