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Research on mimic decision method based on deep learning
Published 2024-02-01“…Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was proposed.By constructing an unsupervised autoencoder-decoder deep learning model, the deep semantic features of diverse normal response data were explored from different executions and its statistical rules were analyzed and summarized.Additionally, the offline learning-online decision-making mechanism and the feedback optimization mechanism were designed to solve false positive problem, thereby accurately detecting network attacks and improving target system security resilience.Since statistical rules of normal response data was understood and mastered by deep learning model, the mimic decision results among different executions could remain consistent, indicating that the target system was in a secure state.However, once the target system was subjected to a network attacks, the response data outputted by the different executions was deviated from statistical distribution of deep learning model.Therefore, inconsistent mimic decision results were presented, indicating that the affected execution was under attack and the target system was exposed to potential security threats.The experiments show that the performance of the proposed method is significantly superior to the popular mimic decision methods, and the average prediction accuracy is improved by 14.89%, which is conducive to integrating the method into the mimic transformation of real application to enhance the system’s defensive capability.…”
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Better than expected performance effect depends on the spatial location of visual stimulus
Published 2025-01-01“…Abstract The process of perceptual decision-making in the real world involves the aggregation of pieces of evidence into a final choice. …”
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A Multi-Target Threat Assessment Method Based on Objective Three-Way Decision
Published 2025-01-01“…However, subjective procedures remain prevalent in the literature, particularly within decision methods and three-way decision (3WD) approaches. …”
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DynamicVLN: Incorporating Dynamics into Vision-and-Language Navigation Scenarios
Published 2025-01-01“…These factors significantly impact an agent’s decision-making ability, underscoring the limitations of current VLN models, which do not accurately reflect the complexities of real-world navigation. …”
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Polymorphism of lipid exchange genes in some populations of South and East Siberia
Published 2020-01-01“…The intermediate frequencies of the CETP 1264G and FTO 83401A alleles found in the metis group demonstrate that the metabolic disorders associated with these variants can be rather expected in the descendants of mixed marriages than among Buryats. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles
Published 2025-01-01“…Abstract Decision-making of connected and automated vehicles (CAV) includes a sequence of driving maneuvers that improve safety and efficiency, characterized by complex scenarios, strong uncertainty, and high real-time requirements. …”
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A *-mixing convergence theorem for convex set valued processes
Published 1987-01-01“…The impetus for studying this problem is provided by a model from information science involving the utilization of feedback data by a decision maker who is uncertain of his goals. The main result is somewhat similar to a theorem for real valued processes and is of interest in its own right.…”
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MAXGDDP:decision data release with differential privacy
Published 2018-03-01“…Specialization-based private decision data release has attracted considerable research attention in recent years.The relation among hierarchical node,taxonomy tree,and budget allocation directly constrains the accuracy of data release and classification.Most existing methods based on hierarchical specialization cannot efficiently address the above problems.An effective method was proposed,called MAXGDDP to publish decision data with specialization.MAXGDDP employed MAX index attribute selection algorithm to select the highlight concept for furthering specialization in each hierarchy.Besides,for making more rational use of privacy budget,MAXGDDP relied on geometric strategy to allocate the privacy budget in each hierarchy.Compared with existing methods such as DiffGen on the real datasets,MAXGDDP outperforms its competitors,achieves data privacy and the better result of classification simultaneously.…”
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Solving Decision-Dependent Games by Learning From Feedback
Published 2024-01-01“…This paper tackles the problem of solving stochastic optimization problems with a decision-dependent distribution in the setting of stochastic strongly-monotone games and when the distributional dependence is unknown. …”
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Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform
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Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform
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Predicting accrual success for better clinical trial resource allocation
Published 2025-01-01“…These modifications enable model translation into decision support tools for various real-world settings. …”
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Which type of feedback—Positive or negative- reinforces decision recall? An EEG study
Published 2025-01-01“…Participants completed a decision-making task involving 10 real-life scenarios, each followed by immediate positive or negative feedback. …”
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