Computational Overhead Analysis for Mitigation of Content Poisoning Attack in NDN-based IoT Body Area Networks

The Body Sensors Network has developed into a significant element of the Medical IoT. Massive data gathering from a resourceconstrained network represents a laborious procedure in IoT equipped BSN/WBAN, creating a number of difficult problems.
Conventional communication protocols may be used on IoT platforms without any alterations and provide impractical techniques
for large-scale networks. The new architecture known as ICN has the potential to overcome these difficulties in huge data
collection. According to this perspective, the proposed work indicates a CPA mitigation strategy for information centric
WBANs.