#Ijsrd Performance of Multiple symbol representation with clipping scheme for PAPR reduction in OFDM systems

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Performance of Multiple symbol representation with clipping scheme for PAPR reduction in OFDM systems

Abstract :

OFDM is one of the multicarrier modulation technique used in various communication systems. The major problem one faces while implementing this system is the high peak to average power .For an efficient OFDM system this PAPR should be low. In this paper a hybrid PAPR (peak to average power ratio) reduction technique for the OFDM (orthogonal frequency division multiplexing) signal which combines a multiple symbol representations method with a signal clipping method is proposed. In multiple symbol representations alternative signaling points are used to represent one symbol and PAPR is further reduced with the clipping scheme. The performance of the hybrid scheme is compared with the partial transmit sequence which is one of the other PAPR reduction scheme. In partial transmit sequence the input data is divided in to disjoint blocks transformed in to time domain sequence and rotated by phase factors. Theoretical analysis and simulation results validate that the proposed scheme has the ability to provide large PAPR reduction, low bit error rate. Performance analysis is also done with the partial transmit sequence scheme.

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IJSRD Research Paper For Security Privacy in system

Research Paper On :

PRIVACY PRESERVING AGAINST NETWORK INTRUSION DETECTION IN VIRTUAL NETWORK SYSTEM

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Authors :

SHRUTHI S , RNS INSTITUTE OF TECHNOLOGY

Description :

Cloud security is one of most important issues that has attracted a lot of research and development effort in past few years. Particularly, attackers can explore vulnerabilities of a cloud system and compromise virtual machines to deploy further large-scale Distributed Denial-of-Service(DDoS). DDoS attacks usually involve early stage actions such as multi-step exploitation, low frequency vulnerability scanning, and compromising identified vulnerable virtual machines as zombies, and finally DDoS attacks through the compromised zombies. Within the cloud system, especially the Infrastructure-as-a-Service (IaaS) clouds, the detection of zombie exploration attacks is extremely difficult. This is because cloud users may install vulnerable applications on their virtual machines. To prevent vulnerable virtual machines from being compromised in the cloud, we propose a multi-phase distributed vulnerability detection, measurement, and countermeasure selection mechanism called NICE, which is built on attack graph based analytical models and reconfigurable virtual network-based countermeasures.

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#ijsrd Data Security Model Enhancement in Cloud Environment

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Data Security Model Enhancement in Cloud Environment

With the rapid developments across the information technology usage of cloud infrastructure has increased a lot. There are lots of services offered by cloud where data storages occupies the primary stand when compared to rest of the services. Data security across the cloud is the main aspect to be considered while storing the data of any organization across a remote location. There are many parameters to be considered while providing security to cloud integrity, confidentiality and availability. There was ample research done in this context where there are many security models available for all the three aspects discussed. The main aim of the proposed system is to make the cloud data server available by blocking unwanted traffic with a firewall. OPNET simulation is done to evaluate the performance of the cloud data storage and the corresponding security issues. From the overall analysis of the results it is clear that blocking the unwanted web traffic over the cloud storage security has improved a lot in terms of traffic and packet managements.
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