Changguang Wang

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UNLABELLED Invasive pathogens interface with the host and its resident microbiota through interkingdom signaling. The bacterial receptor QseC, which is a membrane-bound histidine sensor kinase, responds to the host stress hormones epinephrine and norepinephrine and the bacterial signal AI-3, integrating interkingdom signaling at the biochemical level.(More)
In this paper, an improved algorithm of node credibility for lightweight Wireless Sensor Network (WSN) is proposed based on the LTMBE algorithm. In WSN, data transmission error or failure can be caused by the nodes which are expired or attacked by virus. In order to insure their reliability and avoid the unnecessary energy loss, our algorithm determine the(More)
Internet worms pose a serious threat to the Internet security. In order to effectively defend against Internet worms, this paper proposes a novel epidemic e-SEIQV model with quarantine and vaccination. Using this e-SEIQV model, we obtain the basic reproduction number for determining whether the worm dies out completely. The global stability of the worm-free(More)
In this paper, an epidemic model describing the transmission dynamics of a worm with partial immunization and nonlinear rate is investigated. Using this SVEIR model, we obtain the basic reproduction number for determining whether the worm dies out completely. The global stabilities of infection-free and endemic equilibriums are proven by using two different(More)
Good point set scanning-based self learning worms can reach a stupendous propagation speed in virtue of the non-uniform vulnerable-host distribution. In order to terminate such self-learning worms, this paper proposes an interaction model. Using the interaction model, we obtain the basic reproduction number. The impact of different parameters of predators(More)
Internet worms increasingly threaten the Internet hosts and services. More terribly, good point set scanning-based self-learning worms can reach a stupendous propagation speed in virtue of the non-uniform vulnerable-host distribution. In order to combat self-learning worms, this paper proposes an interaction model. Using the interaction model, we obtain the(More)
A novel framework is presented for image watermarking, which enables detection of the watermark without the original image. As opposed to earlier DCT-based subsampling method that reconstructed the image before transmission, the new DWT-based framework allows validation of the watermark before the recovery of the image. This reduces computational(More)