The Experts below are selected from a list of 324969 Experts worldwide ranked by ideXlab platform
C Ng K Felix - One of the best experts on this subject based on the ideXlab platform.
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a feasibility study of stateful automaton packet inspection for streaming Application Detection systems
Enterprise Information Systems, 2016Co-Authors: Kuokun Tseng, Yiming Liu, Shihhao Chang, Madjid Merabti, C Ng K FelixAbstract:ABSTRACTThe rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory Detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming Application Detection system. This new Detection method leverages the inexact automaton approach, using part of the header field and part of the Application layer data of a packet. Based on this approach, an advanced Detection system is proposed for streaming Applications. The workflow of the system involves two stages: the training stage and the Detection stage. In the training stage, the system initially captures characteristic patterns from a set of Application packet flows. After this training is completed, the Detection stage allows the user to detect the target...
Haowen Zhang - One of the best experts on this subject based on the ideXlab platform.
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carbon monoxide and its controlled release therapeutic Application Detection and development of carbon monoxide releasing molecules corms
Journal of Medicinal Chemistry, 2017Co-Authors: Ken Ling, Fang Men, Weici Wang, Yaqun Zhou, Haowen ZhangAbstract:Carbon monoxide (CO) is attracting increasing attention because of its role as a gasotransmitter with cytoprotective and homeostatic properties. Carbon monoxide releasing molecules (CORMs) are spatially and temporally controlled CO releasers that exhibit superior and more effective pharmaceutical traits than gaseous CO because of their chemistry and structure. Experimental and preclinical research in animal models has shown the therapeutic potential of inhaled CO and CORMs, and the biological effects of CO and CORMs have also been observed in preclinical trials via the genetic modulation of heme oxygenase-1 (HO-1). In this review, we describe the pharmaceutical use of CO and CORMs, methods of detecting CO release, and developments in CORM design and synthesis. Many valuable clinical CORMs formulated using macromolecules and nanomaterials are also described.
Kuokun Tseng - One of the best experts on this subject based on the ideXlab platform.
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a feasibility study of stateful automaton packet inspection for streaming Application Detection systems
Enterprise Information Systems, 2016Co-Authors: Kuokun Tseng, Yiming Liu, Shihhao Chang, Madjid Merabti, C Ng K FelixAbstract:ABSTRACTThe rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory Detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming Application Detection system. This new Detection method leverages the inexact automaton approach, using part of the header field and part of the Application layer data of a packet. Based on this approach, an advanced Detection system is proposed for streaming Applications. The workflow of the system involves two stages: the training stage and the Detection stage. In the training stage, the system initially captures characteristic patterns from a set of Application packet flows. After this training is completed, the Detection stage allows the user to detect the target...
Shihhao Chang - One of the best experts on this subject based on the ideXlab platform.
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a feasibility study of stateful automaton packet inspection for streaming Application Detection systems
Enterprise Information Systems, 2016Co-Authors: Kuokun Tseng, Yiming Liu, Shihhao Chang, Madjid Merabti, C Ng K FelixAbstract:ABSTRACTThe rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory Detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming Application Detection system. This new Detection method leverages the inexact automaton approach, using part of the header field and part of the Application layer data of a packet. Based on this approach, an advanced Detection system is proposed for streaming Applications. The workflow of the system involves two stages: the training stage and the Detection stage. In the training stage, the system initially captures characteristic patterns from a set of Application packet flows. After this training is completed, the Detection stage allows the user to detect the target...
Yiming Liu - One of the best experts on this subject based on the ideXlab platform.
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a feasibility study of stateful automaton packet inspection for streaming Application Detection systems
Enterprise Information Systems, 2016Co-Authors: Kuokun Tseng, Yiming Liu, Shihhao Chang, Madjid Merabti, C Ng K FelixAbstract:ABSTRACTThe rapid development of the internet has brought huge benefits and social impacts; however, internet security has also become a great problem for users, since traditional approaches to packet classification cannot achieve satisfactory Detection performance due to their low accuracy and efficiency. In this paper, a new stateful packet inspection method is introduced, which can be embedded in the network gateway and used by a streaming Application Detection system. This new Detection method leverages the inexact automaton approach, using part of the header field and part of the Application layer data of a packet. Based on this approach, an advanced Detection system is proposed for streaming Applications. The workflow of the system involves two stages: the training stage and the Detection stage. In the training stage, the system initially captures characteristic patterns from a set of Application packet flows. After this training is completed, the Detection stage allows the user to detect the target...