A Survey On Secure Cooperative Bait Detection Approach For Detecting Malicious Nodes

Figure 8.3(a) demonstrates a portion of a wireless ad hoc network where a source node S has a data packet to be sent to a destination node that is

3.2. BlackHole. In this attack,malicious nodes advertise very short paths (sometimes zero-cost paths) to every other node, forming routing black holes within the network [41]. As their advertisement propagates, the network routes more traffic in their direction. In addition to disrupting traffic delivery, this causes intense resource contention around the malicious node as neighbors compete for limited bandwidth.

A malicious node can impersonate or spoof the address of another node in order to alter the vision of the network topology as perceived by another node. Such attacks can result in the formation of loops as described below [18]

A group of wireless sensor nodes (devices) dynamically constructs a temporary network without the exercise of any pre-existing network infrastructure or centralized administration. The main goal of ad-hoc networking is multihop broadcasting in which packets are transferred from source node to destination node through the intermediate nodes (hops). The main function of multi hop WSN is to enable communication between two terminal devices through a bit of middle nodes, which are transferring information from one level to another level. On the foundation of network connectivity, it dynamically gets to determine that which nodes should get included in routing, each node involved in routing transmit the data to further

A node with the best behavior is assigned with the highest trust value e.i. 2, the nodes detected with the malicious behavior is assigned with the trust value < 0.5. The road side units (RSUs) are updated with the calculated trust values. Here, attacks related to the Link layer and physical layer are not considered. Instead, we have route trust values of the nodes and total number of nodes. Main advantage of the system is that malicious nodes are isolated from taking part in the network communication as we consider only most trustworthy node in the network.

An ad-hoc network is a collection of wireless mobile nodes that will dynamically form a temporary network without the use of any existing network infrastructure.

Unfortunately, it is a big overhead to maintain routing tables in the mobile ad hoc network

decided by this protocol. This protocol can be used to send data over various area networks like

With the increasing dependency on wireless networks, the need for proper reliability analysis for Mobile ad hoc networks (Manets) is also increasing. Failure of Manets in areas like warfare, nuclear reactors, medical equipment and airplanes can lead to catastrophe. Unlike traditional networks, measuring the reliability of Manets is a tedious task as it involves dynamically changing topology. The existing methods for calculating reliability use two terminal analysis as the basis for calculation. It uses the same method used for traditional computer networks to calculate reliability. However, the method is not very efficient when it comes to the wireless networks as they are far different from traditional networks. It is also a time consuming task to identify all the nodes and links in a wireless network as nodes move freely in the network. In This paper, We are going to discuss about NLN(Node-Link-Node) technique which reduces the complexity of analyzing the reliability in Manets.

MANETs (Mobile ad-hoc network) is defined as autonomous collection of wireless mobile nodes that are self-configure to construct a network that can communicate over relatively bandwidth constrained wireless links.

This work is based on to detect the malicious nodes from the network which are responsible to trigger grayhole attack in the network. The grayhole is the distributed denial of service attack in which

Abstract─Distantly controlled and managed (by botmaster or botherder) malicious software (called botnets or ‘bot armies’) hidden in large number of computers may cause extraordinary likely damage to the Internet. Botnets can initiate massive coordinated attacks upon Internet resources and its infrastructure devices. The most likely potential uses of botnets are distributed denial of service (DDoS) attacks, spamming, sniffing traffic, keylogging, installing advertisement addons and google adsense abuse, attacking internet relay chat (IRC) networks, attacking peer-to-peer (P2P) networks, hypertext transport protocol (HTTP) networks, and mass identity theft etc. This research is intended to review and analyze all aspects of well known botnets

Information security is of utmost importance in the implementation and deployment of honeypots. It is prudent to realize and understand that no system is full proof and as such, risks and threats always exist regardless of the amount of controls in place. The design, implementation and deployment of honeypots are centred upon the following key terms: Threat, Vulnerability, Risk and Control. The terms will be discussed further in the chapter, but first there is need to discuss the goals of computer security:

MANET comprises of portable stages (e.g.: a switch with various hosts and remote specialized gadgets) in this essentially alluded to as "hubs" which are allowed to move about subjectively the hubs may be situated in or on planes, boats, trucks, autos, maybe even on individuals or little gadgets, and there may be numerous hosts per switch. A MANET is a self-sufficient arrangement of versatile hubs. The framework may work in separation, or may have doors to and interface with an altered system.

Internet usage has skyrocketed in the last decade, propelled by web and multimedia applications. While the predominant way to access the Internet is still cable or fiber, an increasing number of users now demand mobile, ubiquitous access whether they are at home at work or on the move. For instance, they want to compare prices on the web while shopping at the local department store, access Internet “navigation” aids from their car, read e-mail while riding a bus or hold a project review while at the local coffee shop or in the airport lounge. The concept of wireless, mobile Internet is not new. When the packet switching technology, the fabric of the Internet, was introduced with the ARPANET in 1969, the Department of Defense immediately understood the potential of a packet switched radio technology to interconnect mobile nodes in the battlefield. Consequently, the ad hoc protocols must self-configure to adjust to environment, traffic and mission changes. What emerges from these characteristics if the vision of an extremely flexible, malleable and yet robust and formidable network architecture. Because of its mobile, non-infrastructure nature, the ad hoc network poses new design requirements. The first is self-configuration (of addresses and routing) in the expression of mobility. At the function level, ad hoc network users typically communicate and collaborate as teams. These applications thus require efficient group