Intrusion detection model with twin support vector machines

Intrusion detection system （IDS） is becoming a critical component of network security. However, the performance of many proposed intelligent intrusion detection models is still not competent to be applied to real network security. This paper aims to explore a novel and effective approach to significantly improve the performance of IDS. An intrusion detection model with twin support vector machines （TWSVMs） is proposed. In this model, an etficient algorithm is also proposed to determine the parameter of TWSVMs. The performance of the proposed intrusion detection model is evaluated with KDD＇99 dataset and is compared with those of some recent intrusion detection models. The results demonstrate that the proposed intrusion detection model achieves remarkable improvement in intrusion detection rate and more balanced performance on each type of attacks. Moreover, TWSVMs consume much less training time than standard support vector machines （SVMs）.     

Provably secure and efficient proxy signature with untrustworthy proxy signer

Proxy signature has drawn great concerns.However, there still remains a challenge to construct a provably secure and effcient proxy signature scheme.In this paper, we propose an effcient proxy signature scheme based on factoring, and prove that it is secure in the random oracle.Furthermore, we present a new type of proxy signature, called Proxy Signature with Untrustworthy Proxy Signer, and construct a concrete scheme.