Benchmarking of Recommendation Trust Computation for Trust/Trustworthiness Estimation in HDNs

In the recent years, Heterogeneous Distributed Networks (HDNs) is a predominant technology implemented to enable various application in different fields like transportation, medicine, war zone, etc. Due to its arbitrary self-organizing nature and temporary topologies in the spatial-temporal region, distributed systems are vulnerable with a few security issues and demands high security countermeasures. Unlike other static networks, the unique characteristics of HDNs demands cutting edge security policies. Numerous cryptographic techniques have been proposed by different researchers to address the security issues in HDNs. These techniques utilize too many resources, resulting in higher network overheads. This being classified under light weight security scheme, the Trust Management System (TMS) tends to be one of the most promising technology, featured with more efficiency in terms of availability, scalability and simplicity. It advocates both the node level validation and data level verification enhancing trust between the attributes. Further, it thwarts a wide range of security attacks by incorporating various statistical techniques and integrated security services. In this paper, we present a literature survey on different TMS that highlights reliable techniques adapted across the entire HDNs. We then comprehensively study the existing distributed trust computations and benchmark them in accordance to their effectiveness. Further, performance analysis is applied on the existing computation techniques and the benchmarked outcome delivered by Recommendation Trust Computations (RTC) is discussed. A Receiver Operating Characteristics (ROC) curve illustrates better accuracy for Recommendation Trust Computations (RTC), in comparison with Direct Trust Computations (DTC) and Hybrid Trust Computations (HTC). Finally, we propose the future directions for research and highlight reliable techniques to build an efficient TMS in HDNs

The impact of mobility on Mobile Ad Hoc Networks through the perspective of complex networks

Mobile Ad Hoc Networks (MANETs) are wireless networks where nodes’ exchange of messages does not rely on any previously deployed infrastructure. Portable devices that are capable of wireless communication have become extremely popular making possible the establishment of wide ubiquitous networks. Users connected to such networks can access the provided services anywhere and anytime. Nevertheless, this architecture suffers from a highly unstable topology since links between nodes break constantly due to users’ movement. Mobility has a paramount influence on the network topology. Therefore, it is of utmost importance to understand the impact of mobility in MANETs. In this work, we perform a thorough analysis on how mobility shape the behavior of MANETs. Our range of observation varies from general MANETs composed of walking users to a next generation of MANETs formed by vehicles moving either in a city environment or in a highway scenario, namely Vehicular Ad Hoc Networks (VANETs). Our analyses are performed observing the networks through the perspective of complex networks. We were able to identify underlying characteristics of these networks and showed how these observations can be used to improve the performance of MANETs

The impact of mobility on Mobile Ad Hoc Networks through the perspective of complex networks

Mobile Ad Hoc Networks (MANETs) are wireless networks where nodes’ exchange of messages does not rely on any previously deployed infrastructure. Portable devices that are capable of wireless communication have become extremely popular making possible the establishment of wide ubiquitous networks. Users connected to such networks can access the provided services anywhere and anytime. Nevertheless, this architecture suffers from a highly unstable topology since links between nodes break constantly due to users’ movement. Mobility has a paramount influence on the network topology. Therefore, it is of utmost importance to understand the impact of mobility in MANETs. In this work, we perform a thorough analysis on how mobility shape the behavior of MANETs. Our range of observation varies from general MANETs composed of walking users to a next generation of MANETs formed by vehicles moving either in a city environment or in a highway scenario, namely Vehicular Ad Hoc Networks (VANETs). Our analyses are performed observing the networks through the perspective of complex networks. We were able to identify underlying characteristics of these networks and showed how these observations can be used to improve the performance of MANETs