Machine Learning (ML) involves making a machine able to learn and take decisions on real-life pro... more Machine Learning (ML) involves making a machine able to learn and take decisions on real-life problems by working with an efficient set of algorithms. The generated ML models find application in different areas of research and management. One such field, automotive technology, employs ML enabled commercialized advanced driver assistance systems (ADAS) which include traffic sign recognition as a part. With the increasing demand for the intelligence of vehicles, and the advent of self-driving cars, it is extremely necessary to detect and recognize traffic signs automatically through computer technology. For this, neural networks can be applied for analyzing images of traffic signs for cognitive decision making by autonomous vehicles. Neural networks are the computing systems which act as a means of performing ML. In this work, a convolutional neural network (CNN) based ML model is built for recognition of traffic signs accurately for decision making, when installed in driverless vehic...
International Journal of Future Generation Communication and Networking
A large number of small sensor nodes or motes can be randomly distributed in any environment. The... more A large number of small sensor nodes or motes can be randomly distributed in any environment. These nodes communicate with each other over a low power wireless communication medium since they are severely restricted in their resources. Owing to these constraints, nodes in low power and lossy networks (LLNs) need to collaborate in order to establish a multi-hop network in which data is transmitted over several nodes to reach the sink node(s). Such communications over the radio environment are prone to various attacks, such as the RPL (Routing Protocol for Low Power and Lossy Networks) Packet Drop attack, which participates in the routing process to accept packets from the neighboring motes, only to drop them instead of forwarding in the route to the destination. Such an attack is generally hard to detect and to provide defenses against. In this paper, through simulations on Contiki's network simulator COOJA, the impact of RPL Packet Drop attack on Contiki RPL is observed for performance based on average power consumption, received packet count, expected transmission count and hop count. Based on the results, several security schemes to tackle RPL in LLN have been studied.
International Journal of Future Generation Communication and Networking
Mobile Ad hoc Network (Manet) is a collection of self-configuring nodes which move around and com... more Mobile Ad hoc Network (Manet) is a collection of self-configuring nodes which move around and communicate with each other without the use of wires or any existing infrastructure. Such a dynamic topology, lack of a central network management point and limited resources serve as challenges to the network opening up possibilities for launching several attacks in order to exploit the vulnerabilities. In this paper, blackhole attack (the network layer attack), has been simulated in the mobile ad hoc network over AODV routing protocol, and the effect of the reliable transport layer protocol TCP has been analyzed over such a network. A variant of the same, TCP Vegas has also been analyzed for the effects of the attack on such a network. Performance has been measured using metrics of average throughput, normalized routing load and end to end delay and conclusions have been drawn based on that.
International Journal of Computer Applications, Sep 15, 2016
One of the most powerful and dynamic feature of SAS language is Macro facility. The facility redu... more One of the most powerful and dynamic feature of SAS language is Macro facility. The facility reduces the amount of effort required to read and write SAS code. Macro generates the SAS code automatically and enables one to acquire the skill set to become an efficient SAS programmer. The use of macro has prevailed over time and has deprecated the need to write repetitive codes. With the help of this feature one small change can be made to echo throughout the program in no time. Macro presents a uniform and easy approach for manipulation of data. In this research we explain the basic fundamentals of macro facility to generate data-driven programs .Also, how to create and use macro variables and save them for future aspects.
Machine Learning (ML) involves making a machine able to learn and take decisions on real-life pro... more Machine Learning (ML) involves making a machine able to learn and take decisions on real-life problems by working with an efficient set of algorithms. The generated ML models find application in different areas of research and management. One such field, automotive technology, employs ML enabled commercialized advanced driver assistance systems (ADAS) which include traffic sign recognition as a part. With the increasing demand for the intelligence of vehicles, and the advent of self-driving cars, it is extremely necessary to detect and recognize traffic signs automatically through computer technology. For this, neural networks can be applied for analyzing images of traffic signs for cognitive decision making by autonomous vehicles. Neural networks are the computing systems which act as a means of performing ML. In this work, a convolutional neural network (CNN) based ML model is built for recognition of traffic signs accurately for decision making, when installed in driverless vehic...
International Journal of Future Generation Communication and Networking
A large number of small sensor nodes or motes can be randomly distributed in any environment. The... more A large number of small sensor nodes or motes can be randomly distributed in any environment. These nodes communicate with each other over a low power wireless communication medium since they are severely restricted in their resources. Owing to these constraints, nodes in low power and lossy networks (LLNs) need to collaborate in order to establish a multi-hop network in which data is transmitted over several nodes to reach the sink node(s). Such communications over the radio environment are prone to various attacks, such as the RPL (Routing Protocol for Low Power and Lossy Networks) Packet Drop attack, which participates in the routing process to accept packets from the neighboring motes, only to drop them instead of forwarding in the route to the destination. Such an attack is generally hard to detect and to provide defenses against. In this paper, through simulations on Contiki's network simulator COOJA, the impact of RPL Packet Drop attack on Contiki RPL is observed for performance based on average power consumption, received packet count, expected transmission count and hop count. Based on the results, several security schemes to tackle RPL in LLN have been studied.
International Journal of Future Generation Communication and Networking
Mobile Ad hoc Network (Manet) is a collection of self-configuring nodes which move around and com... more Mobile Ad hoc Network (Manet) is a collection of self-configuring nodes which move around and communicate with each other without the use of wires or any existing infrastructure. Such a dynamic topology, lack of a central network management point and limited resources serve as challenges to the network opening up possibilities for launching several attacks in order to exploit the vulnerabilities. In this paper, blackhole attack (the network layer attack), has been simulated in the mobile ad hoc network over AODV routing protocol, and the effect of the reliable transport layer protocol TCP has been analyzed over such a network. A variant of the same, TCP Vegas has also been analyzed for the effects of the attack on such a network. Performance has been measured using metrics of average throughput, normalized routing load and end to end delay and conclusions have been drawn based on that.
International Journal of Computer Applications, Sep 15, 2016
One of the most powerful and dynamic feature of SAS language is Macro facility. The facility redu... more One of the most powerful and dynamic feature of SAS language is Macro facility. The facility reduces the amount of effort required to read and write SAS code. Macro generates the SAS code automatically and enables one to acquire the skill set to become an efficient SAS programmer. The use of macro has prevailed over time and has deprecated the need to write repetitive codes. With the help of this feature one small change can be made to echo throughout the program in no time. Macro presents a uniform and easy approach for manipulation of data. In this research we explain the basic fundamentals of macro facility to generate data-driven programs .Also, how to create and use macro variables and save them for future aspects.
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