925 research outputs found

    Collaborative Profile Assessment to Secure MANET by DDOS Attack

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    In the Mobile Ad-hoc Network, nodes bind together in the centralised authority's absence because reliability is one of the main challenges. The MANETS protective architecture provides some consequential problems due to the specific features of MANETS. The DDoS attack in the network is not quickly detectable. A management infrastructure that guarantees extensive security and the required network performance from attacks must be developed to overcome the barriers. Direct methods cannot be found successfully in mobile ad hoc networks in which network topology differs animatedly. Different DDoS security systems boost the network's output in front of an attacker to deactivate mismanagement, like NTRS. In this study, the Distributed Profile Evaluation Mechanism (DPEAP) DDoS Attack Effect in the Network proposes that compromise packets tossed out of the network beyond the network's capacity. The NTRS was a modern methodology in the study, and the DPEAP suggested is a new technique. The DPEAP identifies the attacker's behaviour by matching an attacker's profile with the ordinary nodes on the network, provided that the Node Profile is regular in the foaming of the proper network data delivery. The DPEAP then declare that the attacker's network has no hazard. In contrast with NTRS in MANET, the DPEAP method is stable and efficient

    Naïve Bayes Classifier to Mitigate the DDoS Attacks Severity in Ad-Hoc Networks

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    Ad-Hoc networks are becoming more popular due to their unique characteristics. As there is no centralized control, these networks are more vulnerable to various attacks, out of which Distributed Denial of Service (DDoS) attacks are considered as more severe attacks. DDoS attack detection and mitigation is still a challenging issue in Ad-Hoc Networks. The existing solutions consider the fixed or dynamic threshold value to detect the DDoS attacks without any trained data, and very few existing solutions use machine learning algorithms to detect these attacks. However, existing solutions are inefficient to handle when DDoS attackers’ perform this attack through bursty traffic, packet size, and fake packets flooding. We have proposed DDoS attack severity mitigation solution. Out DDoS mitigation solution consists of new network node authentication module and naïve bayes classifier module to detect and isolate the DDoS attack traffic patterns. Our simulation results show that naïve bayes DDoS attack traffic classification out performs in the hostile environment and secure the legitimate traffic from DDoS attack

    An Approach to Develop Security Aspect of MANET using NS2 Field

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    A Mobile network is a open area network in which any user can enter to the system and increases the network traffic. Large amount of useless traffic over the network results the congestion on the network nodes. As the data is transferred over these nodes, it increases the network delay and the data loss over the network. To identify the safe path over the network, we have defined an association mining based adaptive approach under different parameters. A Mobile network always undergoes from different kind of external and internal attacks. One of such internal attack is DOS attack (Denial-of-Service). A DOS attack generally consists of efforts to temporarily or indefinitely interrupt or suspend services of a host connected to the network. In this type of attack a particular user flooded the bandwidth with useless traffic and disturbs flow of data to other users. So a reliable communication path over the network is required with minimum delay & loss. Data mining approach is used to present the solution for this problem with effective throughput and minimum loss over the network. DOI: 10.17762/ijritcc2321-8169.15064

    Early Detection and Prevention of DDOS attack on VANET

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    Growing number of vehicles in use has ushered in the service to provide human and resource safety. The present trend calls for the application of technology to automate safety measures in road traffic and since has been known as Intelligent Transport System (ITS). Vehicular Ad hoc Network is like a fork to Mobile Ad hoc Network , where the nodes are mobile vehicles moving in constrained road topology. VANET networks are envisioned to be used in practical ITS systems around the world. A network standard has been developed as Wireless Access In Vehicular Environment (IEEE 802.11p) to be used in VANET which is an amendment to IEEE 802.11 standard. With every new technological applications especially computers and network applications, come new security challenges. Every network in modern day is susceptible to security attacks and VANET is no exception. The most infamous of those attacks is the Distributed Denial of Service Attack which is unavoidable because unlike other security attacks the data packets used in it are legitimate packets. In this thesis work previous solutions are reviewed and a new offensive measure for detection, mitigation and prevention has been propose
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