Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
In wireless sensor networks (WSNs), sensors' locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number ...
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...