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Network Coding Based Privacy Preservation against Traffic Analysis in Multi-hop Wireless Networks
ABSTRACT Privacy threat is one of the critical issues in multi-hop wireless networks, where attack such as traffic analysis can be easily launched by a malicious adversary due to the open-air transmission .  Network coding has the potential to thwart traffic analysis attacks since the coding/mixing operation is encouraged at intermediate nodes. In this paper, we propose a novel network coding based privacy-preserving scheme against traffic analysis in multi-hop wireless networks. With homomorphic encryption on Global Encoding Vectors, the proposed scheme offers two significant privacy-preserving features, packet flow untraceability and message content confidentiality, for efficiently thwarting the traffic analysis attacks.
Existing System Network coding has the potential to thwart traffic analysis attacks since the coding/mixing operation is encouraged at intermediate nodes. However, the simple deployment of network coding can not achieve the goal once enough packets are collected by the adversaries. On the other hand, the coding/mixing nature precludes the feasibility of employing the existing privacy-preserving techniques, such as Onion Routing, in network coding enabled networks.
DISADVANTAGE 1.)The messages are not sent with confidentiality. 2.)The messages that are sent allows packet flow traceability.
PROPOSED SYSTEM In this paper, we have proposed an efficient network coding based privacy-preserving scheme against traffic analysis and flow tracing in multi-hop wireless networks. With the light-weight homomorphic encryption on Global Encoding Vectors (GEVs), the proposed scheme offers two significant privacy- preserving features, packet flow untraceability and message content confidentiality, which can efficiently thwart the traffic analysis attacks such as flow tracing. Moreover, with homomorphic encryption, the proposed scheme keeps the essence of random linear network coding, and each sink can recover the source messages by inverting the GEVs with a very high probability.
ADVANTAGES 1.)The messages can be sent confidentially as well as with packet flow untraceability. 2.)With Homomorphic Encryption technique, the network coding analyses the network traffic and flow tracing in wireless networks.
SOFTWARE SPECIFICATIONS Hardware Requirements: System : Pentium IV 2.4 GHz. Hard Disk : 40 GB. Floppy Drive : 1.44 Mb. Monitor : 15 VGA Colour. Mouse : Logitech. Ram : 256 Mb. Software Requirements: Operating system  : - Windows XP Professional. Front End  : - Visual Studio.Net 2008 Back End  :-  Microsoft SQL Server 2008 Coding Language : - Visual C# .Net.

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Network traceability

  • 1. Network Coding Based Privacy Preservation against Traffic Analysis in Multi-hop Wireless Networks
  • 2. ABSTRACT Privacy threat is one of the critical issues in multi-hop wireless networks, where attack such as traffic analysis can be easily launched by a malicious adversary due to the open-air transmission . Network coding has the potential to thwart traffic analysis attacks since the coding/mixing operation is encouraged at intermediate nodes. In this paper, we propose a novel network coding based privacy-preserving scheme against traffic analysis in multi-hop wireless networks. With homomorphic encryption on Global Encoding Vectors, the proposed scheme offers two significant privacy-preserving features, packet flow untraceability and message content confidentiality, for efficiently thwarting the traffic analysis attacks.
  • 3. Existing System Network coding has the potential to thwart traffic analysis attacks since the coding/mixing operation is encouraged at intermediate nodes. However, the simple deployment of network coding can not achieve the goal once enough packets are collected by the adversaries. On the other hand, the coding/mixing nature precludes the feasibility of employing the existing privacy-preserving techniques, such as Onion Routing, in network coding enabled networks.
  • 4. DISADVANTAGE 1.)The messages are not sent with confidentiality. 2.)The messages that are sent allows packet flow traceability.
  • 5. PROPOSED SYSTEM In this paper, we have proposed an efficient network coding based privacy-preserving scheme against traffic analysis and flow tracing in multi-hop wireless networks. With the light-weight homomorphic encryption on Global Encoding Vectors (GEVs), the proposed scheme offers two significant privacy- preserving features, packet flow untraceability and message content confidentiality, which can efficiently thwart the traffic analysis attacks such as flow tracing. Moreover, with homomorphic encryption, the proposed scheme keeps the essence of random linear network coding, and each sink can recover the source messages by inverting the GEVs with a very high probability.
  • 6. ADVANTAGES 1.)The messages can be sent confidentially as well as with packet flow untraceability. 2.)With Homomorphic Encryption technique, the network coding analyses the network traffic and flow tracing in wireless networks.
  • 7. SOFTWARE SPECIFICATIONS Hardware Requirements: System : Pentium IV 2.4 GHz. Hard Disk : 40 GB. Floppy Drive : 1.44 Mb. Monitor : 15 VGA Colour. Mouse : Logitech. Ram : 256 Mb. Software Requirements: Operating system : - Windows XP Professional. Front End : - Visual Studio.Net 2008 Back End :- Microsoft SQL Server 2008 Coding Language : - Visual C# .Net.