MOBILE AGENT BASED ROUTING in MANETS –ATTACKS &amp; DEFENCES

Ankala, Radhika Priya; Kavitha, D.; Haritha, D.

doi:10.5296/npa.v3i4.1351

Cited by 4 publications

(3 citation statements)

References 11 publications

(9 reference statements)

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“…There are many attacks that can be launched in a WMN. For example, signal jamming, media access control spoofing, virtual jamming, denial‐of‐service (DOS), blackhole, grayhole, and wormhole attacks . Security or performance of wireless networks is being discretely addressed in many frameworks and architectures .…”

Section: Introductionmentioning

confidence: 99%

Distributed flood attack detection mechanism using artificial neural network in wireless mesh networks

Khan

Shams

et al. 2015

Security Comm Networks

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Multi-hop wireless mesh networks (WMNs) are increasingly growing interest as a promising technology for high-speed network access. WMNs are integrated with other networks such as Internet, sensor networks, and cellular networks through gateways. Therefore gateways in WMNs are prone to various security threads and can be easily exploited by the attacker from any part of the Internet to launch a distributed flooding attack to compromise computer systems, affect the network performance, and destruct the services. Many approaches have been proposed by researchers in this regard but still more efforts are needed in terms of accuracy and efficiency. In this research paper, we will propose an artificial neural network-based technique for detection of distributed flooding attacks to things such as sensors or actuators in WMNs called the distributed flood attack detector. In our simulation, sample dataset used to train and test the artificial neural network is generated using NS-2 network simulator. Simulation results and real system implementation proved that the distributed flood attack detector can be used in a real network environment to detect the intermediate and severe distributed flood attacks with low-false positive and false-negative rates.

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Section: Introductionmentioning

confidence: 99%

Distributed flood attack detection mechanism using artificial neural network in wireless mesh networks

Khan

Shams

et al. 2015

Security Comm Networks

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“…Different surveys on WSN security are presented in [6–13]. In [14, 15] a list of attacks and counterattacks are surveyed.…”

Section: Introductionmentioning

confidence: 99%

Web Spider Defense Technique in Wireless Sensor Networks

Cánovas

Lloret

Macías

et al. 2014

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) are currently widely used in many environments. Some of them gather many critical data, which should be protected from intruders. Generally, when an intruder is detected in the WSN, its connection is immediately stopped. But this way does not let the network administrator gather information about the attacker and/or its purposes. In this paper, we present a bioinspired system that uses the procedure taken by the web spider when it wants to catch its prey. We will explain how all steps performed by the web spider are included in our system and we will detail the algorithm and protocol procedure. A real test bench has been implemented in order to validate our system. It shows the performance for different response times, the CPU and RAM consumption, and the average and maximum values for ping and tracert time responses using constant delay and exponential jitter.

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“…Sometimes the malicious nodes send the wrong route reply packets to direct the data packets in the wrong route. Radhika et al (2011) proposed the mobile agent based routing to avoid the attacks in. MANET.…”

Section: Introductionmentioning

confidence: 99%

Mobile Agent Supported on Demand Routing Method to Lessen Link Failure in MANET

Pravinchandra¹

2014

RJASET

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The ultimate goal of this study is to reduce routing overhead and latency by using mobile agent to get the information about the mobile nodes. The mobile agent is a software program that able to migrate from one node to another node. The mobile agent is not executes under any controller. In this study, the mobile agent is used to get the information about link duration and the energy of the nodes. The source node accesses the information from the mobile agent by using Remote procedure call. When there exists a link between source and destination means it will directly transmit the data to the destination or otherwise transmit via relay node. The relay node is selected based on the link duration and energy of the node. So, the proposed technique reduces the link failure and routing overhead. The performance of the proposed scheme is analyzed by using the simulator NS2.

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MOBILE AGENT BASED ROUTING in MANETS –ATTACKS & DEFENCES

Cited by 4 publications

References 11 publications

Distributed flood attack detection mechanism using artificial neural network in wireless mesh networks

Distributed flood attack detection mechanism using artificial neural network in wireless mesh networks

Web Spider Defense Technique in Wireless Sensor Networks

Mobile Agent Supported on Demand Routing Method to Lessen Link Failure in MANET

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