English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Man-in-Middle attack and congestion are challenging issues in a wireless network. In this paper, a load, congestion and attack-aware Fuzzy-Statistical DSR (FSDSR) protocol is suggested for optimizing the performance of a mobile network. The Participation Strength (PS) and Node Criticality (NC) features are computed for region neighbor nodes over a communication session. PS features are described by Average Movement, Region Switching and Session Participation (SP) measures. Congested-critical (CC) node features are represented by average delivery time (ADT), average forwarding ratio (AFR) and drop ratio (DR) features. The fuzzy rules are employed on each for categorizing the nodes based on featurestrength. The composite fuzzy is applied to PS and CC for isolating the trustful and suspected nodes. Further analysis is carried through multiple and aggregative sessions for identifying reliable and safe nodes. In experiment 1, the proposed protocol is compared against existing DSR, MDSR, T-SEA, PACE-DSR, AODV, SAODV and PSAODV protocols. The results confirmed that the FSDSR protocol achieved a higher PDR ratio and lesser delay and drop rate. In experiment II, the performance validation is done against AODV, DSR, SAODV and PDSAODV protocols.

Trust-adaptive Fuzzy-Statistical Protocol for Optimizing the Communication in Attacked Network