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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Tradeoff Between Reliability and Security in Multiple 
Access Relay Networks Under 
Falsified Data Injection Attack 
Abstract: 
We consider a multiple access relay network where multiple sources send 
independent data to a single destination through multiple relays, which may inject 
falsified data into the network. To detect the malicious relays and discard (erase) 
data from them, tracing bits are embedded in the information data at each source 
node. In addition, parity bits are added to correct the errors caused by fading and 
noise. When the total amount of redundancy, tracing bits plus parity bits , is fixed, 
an increase in parity bits to increase the reliability requires a decrease in tracing 
bits, which leads to a less accurate detection of malicious behavior of relays, and 
vice versa. We investigate the tradeoff between the tracing bits and the parity bits 
in minimizing the probability of decoding error and maximizing the throughput in 
multisource, multirelay networks under falsified data injection attacks. The energy 
and throughput gains provided by the optimal allocation of redundancy and the 
tradeoff between reliability and security are analyzed.
Existing System: 
 The tradeoff between tracing bits and parity bits, where the former is 
to identify the malicious relay nodes and discard the bits received 
from them and the latter is to correct the errors caused by channel 
impairments such as fading and noise. 
 The energy gain and the throughput gain provided by the optimal 
redundancy allocation. 
 Data may not be useful at the destination, It becomes harder for the 
destination to detect the malicious behavior of the adversary. 
Proposed System: 
 The benefits can extend the coverage, reduce network energy 
consumption, and promote uniform energy drainage by exploiting 
neighbors resources. 
 In multiple access relay networks, relay nodes may combine the 
symbols received from different sources to generate parity symbols 
(packets) and send them to the destination. 
 Traditional system without cooperative communication, its effect is 
far more serious with cooperative communication. 
 If a false packet is injected into the buffer of a node, the output of the 
node will become polluted, and this may soon propagate to the entire 
network.
Software Requirements: 
Platform : JAVA(JDK 1.6) 
Front End : JAVA Swing 
Back End : MySQL 
IDE : Net Beans 6.9 
Operating System : Microsoft Windows XP 
Hardware Requirements: 
Processor : Pentium IV Processor 
RAM : 512 MB 
Hard Disk : 10GB 
Monitor : 14” VGA COLOR MONITOR

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IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approac...
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approac...IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approac...
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approac...
 
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS A security and privacy aware loc...
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS A security and privacy aware loc...IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS A security and privacy aware loc...
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS A security and privacy aware loc...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Transformation based monetary cost op...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Transformation based monetary cost op...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Transformation based monetary cost op...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Transformation based monetary cost op...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable distributed service integrit...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable distributed service integrit...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable distributed service integrit...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable distributed service integrit...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud av...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud av...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud av...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable analytics for iaa s cloud av...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Performance and cost evaluation of an...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Performance and cost evaluation of an...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Performance and cost evaluation of an...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Performance and cost evaluation of an...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Oruta privacy preserving public audit...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Oruta privacy preserving public audit...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Oruta privacy preserving public audit...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Oruta privacy preserving public audit...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Optimal power allocation and load dis...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Optimal power allocation and load dis...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Optimal power allocation and load dis...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Optimal power allocation and load dis...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic heterogeneity aware resource ...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic heterogeneity aware resource ...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic heterogeneity aware resource ...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic heterogeneity aware resource ...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic cloud pricing for revenue max...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic cloud pricing for revenue max...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic cloud pricing for revenue max...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Dynamic cloud pricing for revenue max...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Distributed, concurrent, and independ...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Distributed, concurrent, and independ...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Distributed, concurrent, and independ...
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IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud based mobile multimedia recomme...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud based mobile multimedia recomme...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud based mobile multimedia recomme...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud based mobile multimedia recomme...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud assisted mobile-access of healt...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud assisted mobile-access of healt...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud assisted mobile-access of healt...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Cloud assisted mobile-access of healt...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Automatic scaling of internet applica...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Automatic scaling of internet applica...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Automatic scaling of internet applica...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Automatic scaling of internet applica...
 
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Adaptive algorithm for minimizing clo...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Adaptive algorithm for minimizing clo...IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Adaptive algorithm for minimizing clo...
IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Adaptive algorithm for minimizing clo...
 

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IEEE 2014 JAVA NETWORK SECURITY PROJECTS Tradeoff between reliability and security in multiple access relay networks under

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Tradeoff Between Reliability and Security in Multiple Access Relay Networks Under Falsified Data Injection Attack Abstract: We consider a multiple access relay network where multiple sources send independent data to a single destination through multiple relays, which may inject falsified data into the network. To detect the malicious relays and discard (erase) data from them, tracing bits are embedded in the information data at each source node. In addition, parity bits are added to correct the errors caused by fading and noise. When the total amount of redundancy, tracing bits plus parity bits , is fixed, an increase in parity bits to increase the reliability requires a decrease in tracing bits, which leads to a less accurate detection of malicious behavior of relays, and vice versa. We investigate the tradeoff between the tracing bits and the parity bits in minimizing the probability of decoding error and maximizing the throughput in multisource, multirelay networks under falsified data injection attacks. The energy and throughput gains provided by the optimal allocation of redundancy and the tradeoff between reliability and security are analyzed.
  • 2.
  • 3. Existing System:  The tradeoff between tracing bits and parity bits, where the former is to identify the malicious relay nodes and discard the bits received from them and the latter is to correct the errors caused by channel impairments such as fading and noise.  The energy gain and the throughput gain provided by the optimal redundancy allocation.  Data may not be useful at the destination, It becomes harder for the destination to detect the malicious behavior of the adversary. Proposed System:  The benefits can extend the coverage, reduce network energy consumption, and promote uniform energy drainage by exploiting neighbors resources.  In multiple access relay networks, relay nodes may combine the symbols received from different sources to generate parity symbols (packets) and send them to the destination.  Traditional system without cooperative communication, its effect is far more serious with cooperative communication.  If a false packet is injected into the buffer of a node, the output of the node will become polluted, and this may soon propagate to the entire network.
  • 4. Software Requirements: Platform : JAVA(JDK 1.6) Front End : JAVA Swing Back End : MySQL IDE : Net Beans 6.9 Operating System : Microsoft Windows XP Hardware Requirements: Processor : Pentium IV Processor RAM : 512 MB Hard Disk : 10GB Monitor : 14” VGA COLOR MONITOR