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This paper proposed a method of allocating additional TXOP duration to replenish the bandwidth used during the retransmission of frames at link layer in audio-video transmission by IEEE 802.11e HCCA. In the proposed scheme, the HC monitors the number of retransmission at link layer and utilize the surplus bandwidth to allocate additional TXOP duration on the basis of number of retransmission performed during the last transmission. The proposed scheme also reduces the polling overhead to gain surplus bandwidth by polling only a station in a polling interval. By simulation, we compare the application-level QoS of the TGe scheme and the proposed scheme. Numerical results show that the proposed scheme can keep the QoS of audio and video high under lossy wireless channel especially when the number of multimedia stations is small. Furthermore, the proposed scheme can admit more traffic flows than the TGe scheme.

Abstract-Botnets population is rapidly growing and they become a huge threat on the Internet. Botnets has been declared as Advanced Malware (AM) and Advanced Persistent Threat (APT) listed attacks which is able to manipulate advanced technology where the intricacy of threats need for continuous detection and protection. These attacks will be almost exclusive for financial gain. P2P botnets act as bots that use P2P technology to accomplish certain tasks. The evolution of P2P technology had generated P2P botnets to become more resilient and robust than centralized botnets. This poses a big challenge on detection and defences. In order to detect these botnets, a complete flow analysis is necessary. In this paper, we proposed anomaly detection through chi-square multivariate statistical analysis which currently focuses on time duration and time slot. This particular time is considered to identify the existence of botserver. We foiled both of host level and network level to make coordination within a P2P botnets and the malicious behaviour each bot exhibits for making detection decisions. The statistical approach result show a high detection accuracy and low false positive that make it as one of the promising approach to reveal botserver.