Table 1.

Comparison of current bogus prevention methods.

Author	Method	Advantages	Limitations
Marmol et al. [17]	TRIP	Probabilistic reasoning identifies a node based on the multiple factors.	Difficult to preserve the node’s trust and behavior, as the system does not know that the node is truthful or malicious.
Mahmood et al. [34]	RABTM	Dempster–Shafer evidence theory is used for numerical trust computation.	Probability can model all forms of uncertainty and ignorance.
Kim et al. [14]	CoE	Source priorities could be adjusted by a particular event program in order to mitigate computation.	Require data taken from the multiple sensors in order to provide reliable results.
Ghosh et al. [28]	Post-crash warning	Effectively reduces the false positives and false negatives while effectively detecting misbehavior.	Reserved only for the specific type of event.
Lee et al. [31]	MBRMS	Uses outlier detection technique and misbehaving risk value of the bad node to measure the risk level.	An event observer within one hop of reporter can observe the behavior of reporter but cannot detect behavior of reporter.