摘要：Wireless sensor networks (WSNs) are placed in open environments
for the collection of data and are vulnerable to external and internal attacks. The
cryptographic mechanisms implemented so far, such as authorization and
authentication, are used to restrict external sensor node attacks but cannot
prevent internal node attacks. In order to evade internal attacks trust mechanisms
are used. In trust mechanisms, firstly, the sensor nodes are monitored using the
popular Watchdog mechanism. However, traditional trust models do not pay
much attention to selective forwarding and consecutive packet dropping.
Sometimes, sensitive data are dropped by internal attackers. This problem is
addressed in our proposed model by detecting selective forwarding and
consecutive failure of sending packets using the Beta probability density
function model.
其他摘要：Wireless sensor networks (WSNs) are placed in open environments for the collection of data and are vulnerable to external and internal attacks. The cryptographic mechanisms implemented so far, such as authorization and authentication, are used to restrict external sensor node attacks but cannot prevent internal node attacks. In order to evade internal attacks trust mechanisms are used. In trust mechanisms, firstly, the sensor nodes are monitored using the popular Watchdog mechanism. However, traditional trust models do not pay much attention to selective forwarding and consecutive packet dropping. Sometimes, sensitive data are dropped by internal attackers. This problem is addressed in our proposed model by detecting selective forwarding and consecutive failure of sending packets using the Beta probability density function model.
关键词：Beta Distribution Mathematical Model; Internal Attack;Wireless Sensor Network;Consecutive Failure.
其他关键词：Beta Distribution Mathematical Model; Internal Attack;Wireless Sensor Network;Consecutive Failure.
