A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks

Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and WiderNet. Due to unique nature of intermittent connectivity and long delay, DTNs face challenges in routing, key management, privacy, fragmentation and misbehaving nodes. Here, misbehaving nodes i.e. malicious and selfish nodes launch various attacks including flood, packet drop and fake packets attack, inevitably overuse scarce resources (e.g., buffer and bandwidth) in DTNs. The focus of this survey is on a review of misbehaving node attacks, and detection algorithms. We firstly classify various of attacks depending on the type of misbehaving nodes. Then, detection algorithms for these misbehaving nodes are categorized depending on preventive and detective based features. The panoramic view on misbehaving nodes and detection algorithms are further analyzed, evaluated mathematically through a number of performance metrics. Future directions guiding this topic are also presented

Impact of virtualization on cloud network security

In this thesis, experimental evaluation of the effect of virtualization on the availability of servers has been performed under Distributed Denial of Service (DDoS) attacks for popular server Operating Systems such as Windows Server 2008 R2, Windows Server 2012 R2 virtualized using Hyper-V. A comparative evaluation of the performance of the servers before and after virtualization under DDoS attacks indicates that after virtualization there is a considerable increase in the vulnerability to attacks and a decline in the performance of the virtualized server compared to when the server is not virtualized