5 research outputs found
The Impact of Rogue Nodes on the Dependability of Opportunistic Networks
Opportunistic Networks (OppNets) are an extension to the classical Mobile Ad hoc Networks
(MANETs) where the network is not dependent on any infrastructure (e.g. Access Points or
centralized administrative nodes). OppNets can be more flexible than MANETs because an end
to end path does not exist and much longer delays can be expected. Whereas a Rogue Access
Point is typically immobile in the legacy infrastructure based networks and can have considerable
impact on the overall connectivity, the research question in this project evaluates how the pattern
and mobility of a rogue nodes impact the dependability and overall "Average Latency" in an
Opportunistic Network Environment. We have simulated a subset of the mathematical modeling
performed in a previous publication in this regard.
Ad hoc networks are very challenging to model due to their mobility and intricate routing
schemes. We strategically started our research by exploring the evolution of Opportunistic
networks, and then implemented the rogue behavior by utilizing The ONE (Opportunistic
Network Environment, by Nokia Research Centre) simulator to carry out our research over rogue
behavior. The ONE simulator is an open source simulator developed in Java, simulating the layer
3 of the OSI model. The Rogue behavior is implemented in the simulator to observe the effect of
rogue nodes. Finally we extracted the desired dataset to measure the latency by carefully
simulating the intended behavior, keeping rest of the parameters (e.g. Node Movement Models,
Signal Range and Strength, Point of Interest (POI) etc) unchanged. Our results are encouraging,
and coincide with the average latency deterioration patterns as modeled by the previous
researchers, with a few exceptions. The practical implementation of plug-in in ONE simulator has
shown that only a very high degree of rogue nodes impact the latency, making OppNets more
resilient and less vulnerable to malicious attacks
The Impact of Rogue Nodes on the Dependability of Opportunistic Networks
Opportunistic Networks (OppNets) are an extension to the classical Mobile Ad hoc Networks
(MANETs) where the network is not dependent on any infrastructure (e.g. Access Points or
centralized administrative nodes). OppNets can be more flexible than MANETs because an end
to end path does not exist and much longer delays can be expected. Whereas a Rogue Access
Point is typically immobile in the legacy infrastructure based networks and can have considerable
impact on the overall connectivity, the research question in this project evaluates how the pattern
and mobility of a rogue nodes impact the dependability and overall "Average Latency" in an
Opportunistic Network Environment. We have simulated a subset of the mathematical modeling
performed in a previous publication in this regard.
Ad hoc networks are very challenging to model due to their mobility and intricate routing
schemes. We strategically started our research by exploring the evolution of Opportunistic
networks, and then implemented the rogue behavior by utilizing The ONE (Opportunistic
Network Environment, by Nokia Research Centre) simulator to carry out our research over rogue
behavior. The ONE simulator is an open source simulator developed in Java, simulating the layer
3 of the OSI model. The Rogue behavior is implemented in the simulator to observe the effect of
rogue nodes. Finally we extracted the desired dataset to measure the latency by carefully
simulating the intended behavior, keeping rest of the parameters (e.g. Node Movement Models,
Signal Range and Strength, Point of Interest (POI) etc) unchanged. Our results are encouraging,
and coincide with the average latency deterioration patterns as modeled by the previous
researchers, with a few exceptions. The practical implementation of plug-in in ONE simulator has
shown that only a very high degree of rogue nodes impact the latency, making OppNets more
resilient and less vulnerable to malicious attacks
The Impact of Rogue Nodes on the Dependability of Opportunistic Networks
Opportunistic Networks (OppNets) are an extension to the classical Mobile Ad hoc Networks
(MANETs) where the network is not dependent on any infrastructure (e.g. Access Points or
centralized administrative nodes). OppNets can be more flexible than MANETs because an end
to end path does not exist and much longer delays can be expected. Whereas a Rogue Access
Point is typically immobile in the legacy infrastructure based networks and can have considerable
impact on the overall connectivity, the research question in this project evaluates how the pattern
and mobility of a rogue nodes impact the dependability and overall "Average Latency" in an
Opportunistic Network Environment. We have simulated a subset of the mathematical modeling
performed in a previous publication in this regard.
Ad hoc networks are very challenging to model due to their mobility and intricate routing
schemes. We strategically started our research by exploring the evolution of Opportunistic
networks, and then implemented the rogue behavior by utilizing The ONE (Opportunistic
Network Environment, by Nokia Research Centre) simulator to carry out our research over rogue
behavior. The ONE simulator is an open source simulator developed in Java, simulating the layer
3 of the OSI model. The Rogue behavior is implemented in the simulator to observe the effect of
rogue nodes. Finally we extracted the desired dataset to measure the latency by carefully
simulating the intended behavior, keeping rest of the parameters (e.g. Node Movement Models,
Signal Range and Strength, Point of Interest (POI) etc) unchanged. Our results are encouraging,
and coincide with the average latency deterioration patterns as modeled by the previous
researchers, with a few exceptions. The practical implementation of plug-in in ONE simulator has
shown that only a very high degree of rogue nodes impact the latency, making OppNets more
resilient and less vulnerable to malicious attacks
The Impact of Rogue Nodes on the Dependability of Opportunistic Networks
Opportunistic Networks (OppNets) are an extension to the classical Mobile Ad hoc Networks
(MANETs) where the network is not dependent on any infrastructure (e.g. Access Points or
centralized administrative nodes). OppNets can be more flexible than MANETs because an end
to end path does not exist and much longer delays can be expected. Whereas a Rogue Access
Point is typically immobile in the legacy infrastructure based networks and can have considerable
impact on the overall connectivity, the research question in this project evaluates how the pattern
and mobility of a rogue nodes impact the dependability and overall "Average Latency" in an
Opportunistic Network Environment. We have simulated a subset of the mathematical modeling
performed in a previous publication in this regard.
Ad hoc networks are very challenging to model due to their mobility and intricate routing
schemes. We strategically started our research by exploring the evolution of Opportunistic
networks, and then implemented the rogue behavior by utilizing The ONE (Opportunistic
Network Environment, by Nokia Research Centre) simulator to carry out our research over rogue
behavior. The ONE simulator is an open source simulator developed in Java, simulating the layer
3 of the OSI model. The Rogue behavior is implemented in the simulator to observe the effect of
rogue nodes. Finally we extracted the desired dataset to measure the latency by carefully
simulating the intended behavior, keeping rest of the parameters (e.g. Node Movement Models,
Signal Range and Strength, Point of Interest (POI) etc) unchanged. Our results are encouraging,
and coincide with the average latency deterioration patterns as modeled by the previous
researchers, with a few exceptions. The practical implementation of plug-in in ONE simulator has
shown that only a very high degree of rogue nodes impact the latency, making OppNets more
resilient and less vulnerable to malicious attacks
The Impact of Rogue Nodes on the Dependability of Opportunistic Networks
Opportunistic Networks (OppNets) are an extension to the classical Mobile Ad hoc Networks
(MANETs) where the network is not dependent on any infrastructure (e.g. Access Points or
centralized administrative nodes). OppNets can be more flexible than MANETs because an end
to end path does not exist and much longer delays can be expected. Whereas a Rogue Access
Point is typically immobile in the legacy infrastructure based networks and can have considerable
impact on the overall connectivity, the research question in this project evaluates how the pattern
and mobility of a rogue nodes impact the dependability and overall "Average Latency" in an
Opportunistic Network Environment. We have simulated a subset of the mathematical modeling
performed in a previous publication in this regard.
Ad hoc networks are very challenging to model due to their mobility and intricate routing
schemes. We strategically started our research by exploring the evolution of Opportunistic
networks, and then implemented the rogue behavior by utilizing The ONE (Opportunistic
Network Environment, by Nokia Research Centre) simulator to carry out our research over rogue
behavior. The ONE simulator is an open source simulator developed in Java, simulating the layer
3 of the OSI model. The Rogue behavior is implemented in the simulator to observe the effect of
rogue nodes. Finally we extracted the desired dataset to measure the latency by carefully
simulating the intended behavior, keeping rest of the parameters (e.g. Node Movement Models,
Signal Range and Strength, Point of Interest (POI) etc) unchanged. Our results are encouraging,
and coincide with the average latency deterioration patterns as modeled by the previous
researchers, with a few exceptions. The practical implementation of plug-in in ONE simulator has
shown that only a very high degree of rogue nodes impact the latency, making OppNets more
resilient and less vulnerable to malicious attacks