Concealed Data Aggregation with Dynamic Intrusion Detection System to Remove Vulnerabilities in Wireless Sensor Networks

摘要

Data Aggregation is a vital aspect in WSNs (Wireless Sensor Networks) and this is because itreduces the quantity of data to be transmitted over the complex network. In earlier studiesauthors used homomorphic encryption properties for concealing statement during aggregationsuch that encrypted data can be aggregated algebraically without decrypting them. Theseschemes are not applicable for multi applications which lead to proposal of Concealed DataAggregation for Multi Applications (CDAMA). It is designed for multi applications, as itprovides secure counting ability. In wireless sensor networks SN are unarmed and aresusceptible to attacks. Considering the defence aspect of wireless environment we have usedDYDOG (Dynamic Intrusion Detection Protocol Model) and a customized key generationprocedure that uses Digital Signatures and also Two Fish Algorithms along with CDAMA foraugmentation of security and throughput. To prove our proposed scheme’s robustness andeffectiveness, we conducted the simulations, inclusive analysis and comparisons at the ending.