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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Defending Against Collaborative Attacks by
Malicious Nodes in MANETs: A Cooperative Bait
Detection Approach
Abstract
In mobile ad hoc networks (MANETs), a primary requirement for the establishment of
communication among nodes is that nodes should cooperate with each other. In the presence of
malevolent nodes, this requirement may lead to serious security concerns; for instance, such
nodes may disrupt the routing process. In this context, preventing or detecting malicious nodes
launching grayhole or collaborative blackhole attacks is a challenge. This paper attempts to
resolve this issue by designing a dynamic source routing (DSR)-based routing mechanism, which
is referred to as the cooperative bait detection scheme (CBDS), that integrates the advantages of
both proactive and reactive defense architectures. Our CBDS method implements a reverse
tracing technique to help in achieving the stated goal. Simulation results are provided, showing
that in the presence of malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best-
effort fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet
delivery ratio and routing overhead (chosen as performance metrics).
SYSTEM SPECIFICATION
Software Specification
Operating system : Linux (Ubuntu)
Software : Network Simulator 2.35
Programming languages : Tool Command Language, AWK, C++
Hardware Specification
Main processor : Dual Core
Hard disk capacity : 80GB
Cache memory : 2 GB
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Defending against collaborative attacks by malicious nodes in mane ts a cooperative bait detection approach

  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach Abstract In mobile ad hoc networks (MANETs), a primary requirement for the establishment of communication among nodes is that nodes should cooperate with each other. In the presence of malevolent nodes, this requirement may lead to serious security concerns; for instance, such nodes may disrupt the routing process. In this context, preventing or detecting malicious nodes launching grayhole or collaborative blackhole attacks is a challenge. This paper attempts to resolve this issue by designing a dynamic source routing (DSR)-based routing mechanism, which is referred to as the cooperative bait detection scheme (CBDS), that integrates the advantages of both proactive and reactive defense architectures. Our CBDS method implements a reverse tracing technique to help in achieving the stated goal. Simulation results are provided, showing that in the presence of malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best- effort fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet delivery ratio and routing overhead (chosen as performance metrics).
  • 2. SYSTEM SPECIFICATION Software Specification Operating system : Linux (Ubuntu) Software : Network Simulator 2.35 Programming languages : Tool Command Language, AWK, C++ Hardware Specification Main processor : Dual Core Hard disk capacity : 80GB Cache memory : 2 GB PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com