… of our secure clustering protocol in terms of number of malicious clusters, number of … outlier
detection scheme, respectively. In Section VII, the details of our secure clustering protocol are …

… Our fuzzy trust evaluation method and outlier detection scheme are presented in … clustering
protocol is proposed in section VI. We verify the performance of our secure clustering protocol …

… In Section 2, we present definition of clustering and general classification of clustering
algorithms. In Section 3, we consider outlier detection methods in details, given classification by …

… Energy Adaptive Clustering Hierarchy protocol under NS… clustering theory and methods is
exposed followed by development of our proposed our solution as conceived to detect outliers …

… Krishnamachari and Iyengar [15] propose a distributed Bayesian protocol to detect … outliers
if they do not belong to clusters or if their clusters are significantly smaller than other clusters. …

… clustering approaches detect outliers with a hard decision. Outlier Score - an outlier detection
technique with an outlier … , routing, cluster head selection, and MAC protocols by making …

… purposes such as classification, clustering and outlier detection where a data instance …
aggregation, routing, MAC protocols, and QoS and recently outlier detection. Liang and Wang [78] …

… protocol with intrusion detection relying on clustering WSN architecture utilizing an energy
prediction model for detecting attacks in cluster … proposed an intrusion detection scheme using …

… detection techniques to detect possible malicious activity on a network. This paper proposes
an evolution of the MCOD (Micro-Clustering Outlier Detection) … Port numbers and protocol …

… outlier detection algorithm is also proposed in this paper for distinguishing the malicious nodes
from other nodes within each cluster … , intelligent cluster-based routing protocols are able …