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

A Novel IDS Security Scheme for Multicast Communication in DTN

This DTN routing should naturally support unicast and multicast routing strategies. A network node can register itself to any receiver group by setting the corresponding destination. In this research we proposed a new security algorithm with multi cast routing against malicious packet dropping attack in DTN. The proposed security method of finding attacker is based on the link detection method for data forwarding in between sender to receiver. The packet dropping on link through node is detected and prevented by IDS security system. This method not only identified the black hole and grey hole but also prevent from routing misbehavior of malicious nodes. The attacker is identified by data dropping of packets in excessive quantity and their prevention is possible by selecting the next possible route where attacker does not exist in connected link between senders to receivers. The intermediate nodes are identified the attacker through confirm positive reply of malicious node or nodes in dynamic network. The proposed secure IDS (Intrusion Detection and prevention) is securing the DTN and improves the network performance after blocking black hole and grey hole in network. The network performance in presence of attack and secure IDS is measures through performance metrics like throughput, routing packets flooding and proposed secures routing is improves data receiving and minimizes dropping data network

Encounted Malware Using Spyware In Delay Tolerant Network

Delay Tolerant Network (DTN) have some kind of system attributes because of which discovering a pernicious and narrow minded conduct in the system is incredible test in DTN. So framework with iTrust, a probabilistic mischief identification plan for secure DTN steering towards proficient trust foundation is proposed here. The essential sign of iTrust is introducing an intermittently existing Trusted Authority (TA) to judge the hubs to conduct in light of the gathered directing confirmations and probabilistic assessment. It additionally gives verification in secure way to all the clients in correspondence system. Proposed framework will distinguish every one of the sorts of assault happened in the system and recognize the malevolent client in system. Trouble making of hub speaks to a genuine danger against directing in deferral tolerant system. In this paper primarily center to enhance the bundle misfortune amid the transmission of parcel one hub to another, furthermore it manages childish and pernicious hub. This paper presents an intermittently accessible trusted power. TA judges any hub in the system by gathering the history proof from upstream and downstream hub. TA could rebuff and remunerate the hub in light of its practices. Every hub must pay the store before it joins into the systems, and the store will be paid after, then the hub leave if there is no mischievousactivitiesof hub. This paper additionally concentrates on security between the hubs in DTN. We presented a mystery key which is created and utilized to share the information. The mystery key is consequently changed when the hub joins a system and leaves a system in light of quick randomized calculation. So we can expand the level of security in postponed tolerant system

ReFIoV: a novel reputation framework for information-centric vehicular applications

In this article, a novel reputation framework for information-centric vehicular applications leveraging on machine learning and the artificial immune system (AIS), also known as ReFIoV, is proposed. Specifically, Bayesian learning and classification allow each node to learn as newly observed data of the behavior of other nodes become available and hence classify these nodes, meanwhile, the K-Means clustering algorithm allows to integrate recommendations from other nodes even if they behave in an unpredictable manner. AIS is used to enhance misbehavior detection. The proposed ReFIoV can be implemented in a distributed manner as each node decides with whom to interact. It provides incentives for nodes to cache and forward others’ mobile data as well as achieves robustness against false accusations and praise. The performance evaluation shows that ReFIoV outperforms state-of-the-art reputation systems for the metrics considered. That is, it presents a very low number of misbehaving nodes incorrectly classified in comparison to another reputation scheme. The proposed AIS mechanism presents a low overhead. The incorporation of recommendations enabled the framework to reduce even further detection time

A Survey on Wireless Sensor Network Security

Wireless sensor networks (WSNs) have recently attracted a lot of interest in the research community due their wide range of applications. Due to distributed nature of these networks and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. This problem is more critical if the network is deployed for some mission-critical applications such as in a tactical battlefield. Random failure of nodes is also very likely in real-life deployment scenarios. Due to resource constraints in the sensor nodes, traditional security mechanisms with large overhead of computation and communication are infeasible in WSNs. Security in sensor networks is, therefore, a particularly challenging task. This paper discusses the current state of the art in security mechanisms for WSNs. Various types of attacks are discussed and their countermeasures presented. A brief discussion on the future direction of research in WSN security is also included.Comment: 24 pages, 4 figures, 2 table

Enhanced dynamic source routing for verifying trust in mobile ad hoc network for secure routing

Secure data transfer in mobile ad hoc network (MANET) against malicious attacks is of immense importance. In this paper, we propose a new enhanced trust model for securing the MANET using trust-based scheme that uses both blind trust and referential trust. In order to do this, the trust relationship function has to be integrated with the dynamic source routing (DSR) protocol for making the protocol more secure. We thoroughly analyze the DSR protocol and generate the performance matrices for the data pertaining to packets sent, packets received, packets loss, and throughput. We also analyze the outcome attained from the improvised trust establishment scheme by using the three algorithm implementations in NS2 simulator for detecting and preventing various types of attacks