Distributed denial-of-service (DDoS) attacks are one of the major threats and possibly the hardest security problem for today's Internet. In this paper we propose a hybrid detection system, referred to as hybrid intrusion detection system (H-IDS), for detection of DDoS attacks. Our proposed detection system makes use of both anomaly-based and signature-based detection methods separately but in an integrated fashion and combines the outcomes of both detectors to enhance the overall detection accuracy. We apply two distinct datasets to our proposed system in order to test the detection performance of H-IDS and conclude that the proposed hybrid system gives better results than the systems based on nonhybrid detection.

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Physical layer (PHY) security has become an emerging area of research recently. Wireless networks use unguided medium as communication channels, so gathering wireless data transmission is easier when compared to traditional cable systems. With the rise of new security challenges, many different solutions have been offered and are being developed. However, maintaining security in wireless networks still remains a challenge. Secure transmission techniques in these networks are discussed throughout this chapter. PHY security measures, the secrecy rate, the secrecy capacity, and the outage secrecy rate are introduced. Security needs of wireless networks are discussed and the related common attack types are described. Main countermeasures that are proposed to prevent these attacks are also presented with both practical and theoretical perspectives.