Mobile Ad hoc Network (MANET) is a part of wireless networks that gives different applications in various fields. MANET's security had gotten perhaps the greatest issue in fields of networks. MANET is powerless against various kinds of attacks that influence its usefulness and availability. The black hole attack is viewed as one of the most perilous dynamic attacks which impedes the presentation and dependability of the network because of the dropping of all approaching data packets by the malicious node. The black hole attack intends to deceive each node in the network that needs to speak with another node by guaranteeing that it generally has the best path to the objective node. AODV is a responsive routing protocol which has no method to identify and forestall black hole attack in to the network. In this examination work, we improved the AODV routing protocol utilizing another lightweight method that utilizes hop count and trolling to recognize and detect single and multiple black hole attack. In this research work we provide the security scheme against single and cooperative black hole attack in MANET. The blackhole attack is packet dropping attack behaves like normal node at the time of connection establishment and after forward false reply of destination to sender drops all the data packets. In this attack one or more than one malicious nodes create a secure environment with the presence of other normal nodes. The proposed IDS (Intrusion Detection System) is identified the nodes those are not forwarded the data packets continuously abut node exist in network and provides the secure communication in dynamic network.

In this paper introduces advanced contrast technology considering. The input images taken from remote Satellites are used in many applications but the images taken are not very enhanced and may contain blurry or less contrast. Despite the growing demand for better remote sensing pictures different methodology was proposed but they are not able to preserve the edge details and Saturation of high and low brightness images areas. Histogram equalization (HE) was the most familiar approach to raising the contrast in various applications. But cannot maintain the shape information and cannot preserve the average Image brightness, which may be lower or higher than the reprocessed image saturation. The suggested algorithm solves this type problem by using effective techniques used for enhanced satellite image contrast using the atomization resolution of atomization of dominant brightness level, ADT function and smoothing of boundary. Experimental results show, that the suggested method rise the contrast and the perspective of the local details that is improved than current techniques and retains poor image information. The advanced approach can definitely improve any depressed contrast images and maintain the edge contingent Purchased with a satellite camera and are also suitable for other imaging devices such as user digital cameras, and compression cameras.

The requirement of secure communication is very crucial part in network due to presence of unwanted attackers. The SDSR is identified the packet dropping but only due to presence of attacker. If an intrusion is detected quickly enough, the intruder can be identified and turned out from the network before any harmful action is done or any data are compromised. Moreover, proposed SDSR have served as prevention, acting to prevent intrusions. Proposed scheme enables the collection of information about intrusion techniques that can be used to reinforce the intrusion prevention facility. The performance of previous scheme is better and secure network from calculating the trust value of values and the trust value calculation is dependent on the packets forwarding of nodes in network. The performance of normal routing, with presence of Balckhole attack (BAODV), Old-Prevention (SAODV) and Proposed SDSR prevention performance is evaluated. The performance of proposed security system is better because at receiver end identified the packets dropping and set the threshold of dropping and also identified the attacker infection existence in network that shows the attacker effect and also affected the routing performance of network. The proposed SDSR performance is measured through performance metrics and a result shows the improvement in performance..

The Mobile Ad hoc Network (MANET) is a wireless network component that offers a variety of applications in numerous industries. Perhaps the biggest problem with networks was the security of MANET. MANET is defenceless against many attacks that affect its availability and functionality. The black hole attack is one of the most dangerous dynamic assaults since it prevents the network from being presented and reliable because the malicious node drops all incoming data packets. By ensuring that it always has the best path to the target node, the black hole attack aims to trick every node in the network that wants to communicate with another node. A black hole attack into the network cannot be detected or prevented by the responsive routing protocol AODV. In this study, we improved the AODV routing protocol by using a different, more lightweight technique that recognises and detects single and multiple black hole attacks using hop count and trolling. In this study, we present a security method for MANET against solitary and group black hole attacks. The blackhole attack is a packet-dropping attack that acts like a regular node during connection formation and drops all data packets after forwarding a bogus reply from the destination to the sender. With the help of other regular nodes, one or more malicious nodes in this assault establish a safe environment. The proposed IDS (Intrusion Detection System) locates nodes that are not continually forwarding data packets but are still present in the network and offers secure communication in a dynamic network.