Enhancing the QoS of IoT Chained Multi Media Processing Networks
Loading...
Date
item.page.authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Wireless networks are constantly under security threats due to a large number of inherent
newlinevulnerabilities. Theseattacks range from simple denial of service (DoS) attacks, to highly
newlinecomplex grey hole, masquerading and man in the middle attacks. Most of these vulnerabilities
newlineare due to improper deployment architectures, wherein rules for packet access, node access and
newlinerouter access are not strictly defined. Due to these vulnerabilities, thereis a reduction in the
newlineoverall quality of service (QoS) for the wireless network. Moreover, these primary
newlinevulnerabilities expose the network to other secondary attacks, which further degrade network
newlineperformance. These secondary attacks include but are not limited to, malicious packet injection
newlinedue to improper trust levels,checksum invalidation due to packet tampering, etc. In order to
newlinereduce the probability of these attacks, this textfurther proposes a novel trust based blockchain
newlinepowered multichannel protocol. This protocol utilizes adistributed blockchain based on proof
newlineof work (PoW) consensus for safeguarding the network against securitythreats. The security
newlinelevel of the proposed system is further strengthened with the help of trust based routing,
newlinewherein node energy, intermediate distance and packet forwarding values are utilized to
newlinemaintain a high QoS performance. Furthermore, the QoS performance is improved via
newlineintegration of multichannel communication in the system. It is observed that the proposed
newlineprotocol improves security performance by 8% when compared to other state of the art
newlinemethods, and improves the QoS performance by 6% when compared to other blockchain and
newlinetrust establishment methods. Finally, it is observed that trust enabled wireless networks use
newlinetemporal behavior information of nodes in order to classify them into different trust categories.
newlineThis information is utilized by the router for high performance communication that is optimized
newlineviii
newlinein terms of end to end delay, energyconsumption, throughput, packet delivery ratio, and other
newlinequality of service (QoS) param