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14141
Autonomous security analysis and penetration testing model based on attack graph and deep Q-learning network
Published 2023-12-01“…With the continuous development and widespread application of network technology, network security issues have become increasingly prominent.Penetration testing has emerged as an important method for assessing and enhancing network security.However, traditional manual penetration testing methods suffer from inefficiency,human error, and tester skills, leading to high uncertainty and poor evaluation results.To address these challenges, an autonomous security analysis and penetration testing framework called ASAPT was proposed, based on attack graphs and deep Q-learning networks (DQN).The ASAPT framework was consisted of two main components:training data construction and model training.In the training data construction phase, attack graphs were utilized to model the threats in the target network by representing vulnerabilities and possible attacker attack paths as nodes and edges.By integrating the common vulnerability scoring system (CVSS) vulnerability database, a “state-action”transition matrix was constructed, which depicted the attacker’s behavior and transition probabilities in different states.This matrix comprehensively captured the attacker’s capabilities and network security status.To reduce computational complexity, a depth-first search (DFS) algorithm was innovatively applied to simplify the transition matrix, identifying and preserving all attack paths that lead to the final goal for subsequent model training.In the model training phase, a deep reinforcement learning algorithm based on DQN was employed to determine the optimal attack path during penetration testing.The algorithm interacted continuously with the environment, updating the Q-value function to progressively optimize the selection of attack paths.Simulation results demonstrate that ASAPT achieves an accuracy of 84% in identifying the optimal path and exhibits fast convergence speed.Compared to traditional Q-learning, ASAPT demonstrates superior adaptability in dealing with large-scale network environments, which could provide guidance for practical penetration testing.…”
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14142
A Precise Analysis of the Behavior of Pit Side Tunnels Caused by Deep Excavation
Published 2024-01-01“…However, when the tunnel outside the retaining structure is positioned above the pit’s base, its deformation progressively intensifies with deeper excavation, but the growth rate has a decreasing trend. …”
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14143
Trends in growth and nutritional status of Korean toddlers and preschoolers: a cross-sectional study using 2010–2021 Korea National Health and Nutrition Examination Survey data
Published 2024-12-01“…Conclusion South Korea is making significant progress in supporting toddlers and preschoolers, as evidenced by consistent increases in the proportion of children with normal growth and decreases in the prevalence of malnutrition. …”
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Intratumor heterogeneity: models of malignancy emergence and evolution
Published 2023-12-01“…By uncovering the mechanisms that determine tumor heterogeneity, researchers can identify key genetic and epigenetic changes that contribute to tumor progression and resistance to treatment. This knowledge enables the development of innovative strategies for targeting specific tumor clones, minimizing the risk of recurrence and improving patient outcomes. …”
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The Rapidly Evolving Treatment Landscape in Newly Diagnosed Multiple Myeloma: Current Status and Future Directions
Published 2024-10-01“…Over the past two decades, significant progress has been made in the management of multiple myeloma (MM), leading to the development of novel therapeutic approaches and treatment regimens to improve patient outcomes. …”
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14150
ATRA-induced NEAT1 upregulation promotes autophagy during APL cell granulocytic differentiation.
Published 2024-01-01“…<h4>Aims</h4>Acute promyelocytic leukemia (APL) progresses quickly and often leads to early hemorrhagic death. …”
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14151
Hybrid breeding boosted molecular genetics in rye
Published 2015-12-01“…Only through the development of new methods such as C-banding, in situ DNA hybridization, enzymology and molecular marker techniques achieved an enormous progress. Particularly, the latter was driven by agronomic success of hybrid breeding in rye. …”
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ChatGPT in Computer Science Education: A Case Study on a Database Administration Course
Published 2025-01-01“…The student’s grades in a computer practical exam, a set of theoretical tests to assess progression in knowledge acquisition, and a comprehensive questionnaire are employed as research instruments. …”
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Reducing the urge to be physically active in patients with anorexia nervosa through virtual reality: protocol for a randomised-controlled feasibility trial
Published 2025-01-01“…We define a set of three-tiered, formal progression criteria and employ a ‘traffic light system’ demarcating go (green), amend (amber) and stop (red) signals for advancing to the full-scale RCT.Ethics and dissemination The study was approved by the ethics committee of the Ruhr University Bochum’s Medical Faculty at Campus East-Westphalia (AZ 2024-1296, 9 December 2024). …”
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MAP4 kinase-regulated reduced CLSTN1 expression in medulloblastoma is associated with increased invasiveness
Published 2025-01-01“…Abstract De-regulated protein expression contributes to tumor growth and progression in medulloblastoma (MB), the most common malignant brain tumor in children. …”
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A longitudinal analysis of physical exercise in shaping language learners’ emotional well-being: a comparative analysis between L1 and L2 students
Published 2025-01-01“…Abstract Background Students’ psychological wellness is one of the key elements that improve their well-being and shape their academic progress in the realm of language learning. Among various strategies, physical exercise emerges as an effective approach, allowing learners to manage their emotions considerably. …”
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14160