From: Trust management in vehicular ad hoc network: a systematic review
Study | Metric |
---|---|
Multifaceted approach | Time closeness (T c ) |
 | Location closeness (L c ) |
 | Role-based trust value (T r ) : |
 | ∙A u t h o r i t y∙E x p e r t∙S e n i o r i t y∙O r d i n a r y |
 | Experience-based trust value (T e ): depends on the number of interaction |
TRIP | Direct previous experiences with the target node (Rep ij ) |
 | Recommendations from other surrounding vehicles (Rec kj ) |
 | Recommendation from central authority through roadside units (RecRSUj ) |
Data-centric | Dynamic trustworthiness factors, e.g., location and time (μ l ) |
 | Event-specific trust (λ j ) |
 | Security status (s(v k )) |
 | Type of vehicle ((v k )) |
RMCV | Content similarity (supprt(c)) |
 | - Maximum distance of content between two messages in the same cluster |
 | - Possible maximum distance - number of messages |
 | Content conflict (Con c ) |
 | Route similarity (Path c ) |
 | - Number of messages in the cluster |
 | - Number of source providers |
 | - Number of distinct vehicles in the routing paths of messages in the same cluster |
Intrusion-aware trust model | Confidence value (C i ) |
 | - Location closeness (L c ) |
 | - Time closeness (T c ) |
 | - Location verification (L v ) |
 | - Time verification (T v ) |
 | Total number of sender nodes (\(n_{x_{k}}\)) |
Reputation-based trust model | Real event frequency (E f ) |
 | Standard frequency of event (E s ) |
 | Degree behavior deviation (D k ) |
 | Number of all vehicles sent the message to other vehicles (m,n,k,l) |
ERS | Event reputation value: indicates the intensity degree of an event |
 | Event confidence value: indicate the reliability extent of an event and the value is the number of vehicles that received the message |
RATE | Observation factor (Ï„) |
 | - Distance from vehicle to event |
 | - Maximum detection range of the vehicle |
 | - Number of sensors that can detect the event |
 | - Total number of sensors equipped in the vehicle |
 | feedback factor (η) |
BTM | Beacon-based Trust (T bea) |
 | - Similarity between beacon and estimate value (Simcos) |
 | Vehicle’s position |
 | Velocity |
 | Drive direction |
 | Direct event-based trust ( T devt ) |
 | - Similarity between historical beacon and received event message (Simtan) |
 | Vehicle’s position |
 | Velocity |
 | Drive direction |
 | - Distance between the message receiver and the message transmitter (Δ d) |
 | - Time delay between the event message time-stamp and the receiver’s current time-stamp (Δ t) |
 | - Maximum transmission distance (D max) |
 | - Maximum transmission delay (T max) |
 | Indirect event-based trust (T evt) |
 | Recommendation of other vehicles (T opn) |
 | Reputation and trust compositing (T rep) |
RaBTM | Opinion confidence of RSU (O rsu) |
 | Direct trust value (\(T_{\text {devt}}^{r,s}\)) |
 | - Transmission distance |
 | - Transmission delay |
 | Distance between sender and RSU (D tot) |
 | Distance between RSU and event (d r,s ) |