Biblio

Mobile ad hoc network (MANET) is an infrastructure less, self organizing on demand wireless communication. The nodes communicate among themselves through their radio range and nodes within the range are known as neighbor nodes. DSR (Dynamic Source Routing), a MANET reactive routing protocol identify the destination by transmitting route request (RREQ) control message into the network and establishes a path after receiving route reply (RREP) control messages. The intermediate node lies in between source to destination may also send RREP control message, weather they have path information about that destination is present into their route cache due to any previous communication. A malicious node may enter within the network and may send RREP control message to the source before original RREP is being received. After receiving RREP without knowing about the destination source starts to send data and data may reached to a different location. In this paper we proposed a novel algorithm by which a malicious node, even stay in the network and send RREP control message but before data transmission source can authenticate the destination by applying PGP (pretty Good Privacy) encryption program. In order to design our algorithm we proposed to add an extra field with RREQ control message with a unique index value (UIV) and two extra fields in RREP applied over UIV to form a random key (Rk) in such a way that, our proposal can maintained two way authorization scheme. Even a malicious node may exists into the network but before data transmission source can identified weather RREP is received by the requested destination or a by a malicious node.

We consider distributed Kalman filter for dynamic state estimation over wireless sensor networks. It is promising but challenging when network is under cyber attacks. Since the information exchange between nodes, the malicious attacks quickly spread across the entire network, which causing large measurement errors and even to the collapse of sensor networks. Aiming at the malicious network attack, a trust-based distributed processing frame is proposed. Which allows neighbor nodes to exchange information, and a series of trusted nodes are found using truth discovery. As a demonstration, distributed Cooperative Localization is considered, and numerical results are provided to evaluate the performance of the proposed approach by considering random, false data injection and replay attacks.

In VANET, Sybil nodes generated by attackers cause serious damages to network protocols, resource allocation mechanisms, and reputation models. Other types of attacks can also be launched on the basis of Sybil attack, which bring more threats to VANET. To solve this problem, this paper proposes a Sybil nodes detection method based on RSSI sequence and vehicle driving matrix - RSDM. RSDM evaluates the difference between the RSSI sequence and the driving matrix by dynamic distance matching to detect Sybil nodes. Moreover, RSDM does not rely on VANET infrastructure, neighbor nodes or specific hardware. The experimental results show that RSDM performs well with a higher detection rate and a lower error rate.

In Mobile Ad hoc Networks (MANET) the nodes act as a host as well as a router thereby forming a self-organizing network that does not rely upon fixed infrastructure, other than gateways to other networks. MANET provides a quick to deploy flexible networking capability with a dynamic topology due to node mobility. MANET nodes transmit, relay and receive traffic from neighbor nodes as the network topology changes. Security is important for MANET and trust computation is used to improve collaboration between nodes. MANET trust frameworks utilize real-time trust computations to maintain the trust state for nodes in the network. If the trust computation is not resilient against attack, the trust values computed could be unreliable. This paper proposes an Artificial Immune System based approach to compute trust and thereby provide a resilient reputation mechanism.