A Flooding based IDS Security against Jamming Attack in MANET

The Mobile ad-hoc network does not have any fixed infrastructure so they rely on their neighbors to relay message. The mobile nodes can move around the network in free manner. Unlike wired networks, there is no fixed and dedicated link available between the nodes. So any node can access any link between any nodes. This nature of open medium of MANET they attracts malicious users. IDS techniques are used to detect malicious nodes. Here they propose new Intrusion detection method called EAACK .EAACK handles three weakness of watch dog they are:1) Receiver collision, 2) Limited transmission power, 3) False misbehavior. EAACK demonstrate higher malicious-behavior detection rates in certain circumstances while does not greatly affect the network performances .In proposed EAACK scheme they implemented both DSA and RSA.

— Mobile Computing is a technology that allows users with portable computers still have network connections while they move. In Mobile computing, mobility and scalability should be possible in many applications. Mobile Ad-hoc network (MANET) is one of the most important and unique applications. In MANET infrastructure does not need a fixed network. Every node act as a transmitter and receiver. Communication occurs within their same communication range only, and communicate directly each other. Otherwise, they should rely on their neighbors to send relay messages. In open medium and wide distribution of nodes make MANET vulnerable to malicious attackers. Such as black hole, gray hole, worm hole and other routing attacks in mac layer in mobile ad-hoc network which adversaries deploy a large number of packet of the compromised/ captured nodes throughout the network. In this paper we proposes a secure instruction-detection system named secure enhanced intrusion detection system (SE-IDS). Specially designed for Mobile Ad-hoc networks. Targets on the routing attack in Mobile Ad-hoc network. Aims at overcoming the limitations and weaknesses of the existing IDS. The simulation of the proposed method (SE-IDS) is performed in Ns-2 simulator and we got the result as we expected.

IJRCAR, 2014

In the recent decades the mobile wireless communication becomes more attractive because of its applications in many fields. Moving from the wired communication to wireless communication, the security is the most important property to consider. Specifically in the mobile environment it has the vulnerability, because of its portability and scalability. The mobile ad hoc wireless communication has characteristics such as open medium, distributed environment and changing topology, it makes the network into most vulnerable to the attackers to make the intrusion. The attackers (intruders) can easily enter into the network and compromises the network to behave in the favours of his choice. The Mobile Ad hoc NETwork (MANET) should have the capability to detect such intrusion (attacks) and remove it. To survive the MANET from such intrusion, an Intrusion Detection System (IDS) should be enhanced to the MANET, which can efficiently identify the attacks of the intruders. In this paper it is discussed about various intrusion detection mechanisms and techniques for the MANET to detect the intrusion and intruders

Procedia Computer Science, 2019

Mobile Ad-hoc Network (MANET) is a self-configuring network depending upon infrastructure, also is a significant technology which supplies virtual hardware and software resources as per requirement of mobile ad hoc network. The Intrusion Detection System (IDS) has been established to protect Cross Interior (routing) at source to goal from different types of attack. Current IDS approaches can be classified as either anomaly or signature-based methods such as Rule-based expert systems, State transition analysis, Bayesian alarm networks aspects are various challenges with respect to the efficiency as well as performance. The major challenge is the compromise of performance because of unavailable resources with respect to the MANET. To increase the MANET environment's performance, various techniques are employed for routing, security purpose. An efficient security module requires a routing in terms of packet loss. The Integrated Cross Interior (ICI) structure for Intrusion Detection System (IDS) namely ICIs for IDS are proposed for exactness of black hole attacks detection. The ICIs for IDS performs the task of routing of the mobile nodes. The proposed (ICIs for IDS) produces the enhancement of Intrusion Detection System (IDS) with routing algorithm named as Integrated Cross Interior algorithm that performs maps the security with the secure IDS communication and distributes the packets among different destination, based on priority. This paper proposes a novel Integrated Cross Interior structure for Intrusion Detection System (ICIS for IDS) to secure our network from black hole attacks. This algorithm is proposed for node routing and node security by considering maximum throughput 83.5% with minimum routing cost, response time with 6.3ms. The experimental results specify that ICIs for IDS based security policy effectively minimizes the response time as well as the mobile routing cost, response time of an application with respect to other existing approaches such as IDS with AODV. The proposed algorithm is experimented using Network Simulator-2 and the results demonstrated that the performance of the algorithm is better than other conventional algorithms like IDS with AODV.

MANET not need's a set network infrastructure; every single node works as application and routing device and they trust their neighbors to relay messages. But Air medium and remote distribution of mobile ad-hoc network creates it at risk of numerous kinds of hackings. In this paper work, we proposed solid privacy requirements regarding hacking attackers in mobile ad-hoc network. So many existing research works proposed in implementation of new intrusion-detection schemes. Previous works shows the higher malicious-behavior-detection rates in certain circumstances while does not greatly affect the network performances. We proposed the method to detect the malicious with hybrid security method.

Ad Hoc Network due to its infrastructure less ability. It has been providing lots of benefits in the field of communication and has changed the word into Global village. It has many features for example deployment facility, limited resources, dynamic topology and physical insecurity, the chances of attack increased than any other network. And due to dynamic topology, no static solution is applicable. There are two defense mechanism that can reduce the attack. First includes cryptography etc. If this defense is broken then intrusion detection system helps to reduce the attack ratio. In this survey paper, intrusion detection system taxonomy has been observed through different point of view. But the IDS detection mechanism has been elaborated in detail. And a comparison has been performed between the detection mechanism been used so far. Finally, we concluded useful information related to different mechanism and which mechanism has been used the most and performed well.

IJRCAR, 2015

In past few decades the wired network technology most wide spread network in global trend. Now the technology has been migration to wireless network from wired network. In wireless networks a scalable and mobility is brought by in many applications. Among all the specifications of wireless networks, MANET is one of the most important and different applications. On the specification of traditional network architecture, actually MANET does not require a fixed network infrastructure; because the transmitter and receiver work on every single node. The communication is done in nodes within the specific range. Otherwise, they rely on their neighbours to relay messages. But the self-configuring ability of nodes in MANET made it popular among critical mission applications like military use or emergency recovery. However, the open medium and wide distribution of nodes make MANET vulnerable to malicious attackers. In this case, it is crucial to develop efficient intrusion-special detection mechanisms described to protect MANET from attacks. With the development of the technology MANETs used into industrial applications to reach such trend, the potential security issues occur in many industrials. To deploy this situation, we propose a special implement a new intrusion-detection system named Special Enhanced Adaptive Acknowledgment (SEAACK) specially designed for MANETs. Compared to contemporary approaches, SEAACK demonstrates higher malicious-behaviourdetection rates in certain circumstances while does not greatly affect the network performances.

— The mobile ad-hoc network is the self configuring type of network in which mobile nodes can its location any time. Due to its decentralized nature, much type of active and passive attacks is possible in the network. Jamming is the active type of attack which degrades network performance in terms of throughput, Packetloss, Retransmission attempts, Energy and PDR. In this work, novel technique is been proposed which will detect and isolate malicious nodes from the network. The proposed technique will be based on monitor mode and threshold. The simulation is been performed in NS2 and it is been analyzed that proposed technique performs well in terms of throughput, Packetloss, Retransmission attempts, Energy and PDR.

International Journal of Computer Applications, 2015

Jamming attack is main problem and this can affect the network by various ways. Sometimes jammer retransmits messages to create jam over network or sometimes jammers are radio jammer which disturbs communication by decreasing the signal to noise ratio. In previous researches various techniques are discussed to detect jamming. One way is to check the signal busy ratio. If channel is busy for long time that means there is a jam on network or it can be check by checking the threshold value. If threshold value exceeds up to some limit then there expect some jam on network. When the jam will detected then check will be performed on the node which will be creating jam. Node identity will be checked by calculating the distance and the message of that node will be checked to detect the retransmission and replays. If sequence number will same than attacker will be detected but if sequence number is different message content will be checked. To check the reason of retransmissions an additional message will be send to destination so that if re-transmissions are due to the network failure it can be detected.

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