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Analysis of Feature Importance and Interpretation for Malware Classification

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Computers, Materials & Continua 2020年第12期65卷 1891-1904页

作者： Dong-Wook Kim Gun-Yoon Shin myung-mook han Department of Computer Engineering Gachon UniversitySungnam-si13120Korea Department of Software Gachon UniversitySungnam-si13120Korea

This study was conducted to enable prompt classification of malware,which was becoming increasingly *** do this,we analyzed the important features of malware and the relative importance of selected features according to a learning model to assess how those important features were ***,the analysis features were extracted using Cuckoo Sandbox,an open-source malware analysis tool,then the features were divided into five categories using the extracted *** 804 extracted features were reduced by 70%after selecting only the most suitable ones for malware classification using a learning model-based feature selection method called the recursive feature ***,these important features were *** level of contribution from each one was assessed by the Random Forest classifier *** results showed that System call features were mostly *** the end,it was possible to accurately identify the malware type using only 36 to 76 features for each of the four types of malware with the most analysis samples *** were the Trojan,Adware,Downloader,and Backdoor malware.

关键词： Recursive feature elimination model interpretability feature importance malware classification

Anomaly Detection Based on Discrete Wavelet Transformation for Insider Threat Classification

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Computer Systems Science & Engineering 2023年第7期46卷 153-164页

作者： Dong-Wook Kim Gun-Yoon Shin myung-mook han Department of Computer Engineering Gachon UniversitySeongnam-si13120Korea Department of AI Software Gachon UniversitySeongnam-si13120Korea

Unlike external attacks,insider threats arise from legitimate users who belong to the *** individuals may be a potential threat for hostile behavior depending on their *** insider detection,many intrusion detection systems learn and prevent known scenarios,but because malicious behavior has similar patterns to normal behavior,in reality,these systems can be ***,because insider threats share a feature space similar to normal behavior,identifying them by detecting anomalies has *** study proposes an improved anomaly detection methodology for insider threats that occur in cybersecurity in which a discrete wavelet transformation technique is applied to classify normal *** *** discrete wavelet transformation technique easily discovers new patterns or decomposes synthesized data,making it possible to distinguish between shared *** verify the efficacy of the proposed methodology,experiments were conducted in which normal users and malicious users were classified based on insider threat scenarios provided in Carnegie Mellon University’s Computer Emergency Response Team(CERT)*** experimental results indicate that the proposed methodology with discrete wavelet transformation reduced the false-positive rate by 82%to 98%compared to the case with no wavelet ***,the proposed methodology has high potential for application to similar feature spaces.

关键词： Anomaly detection cybersecurity discrete wavelet transformation insider threat classification

Unknown Attack Detection:Combining Relabeling and Hybrid Intrusion Detection

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Computers, Materials & Continua 2021年第9期68卷 3289-3303页

作者： Gun-Yoon Shin Dong-Wook Kim Sang-Soo Kim myung-mook han Department of Computer Engineering Gachon UniversitySungnam-si13120Korea Agency for Defense Development Songpa Seoul05661Korea Department of Software Gachon UniversitySungnam-si13120Korea

Detection of unknown attacks like a zero-day attack is a research field that has long been ***,advances in Machine Learning(ML)and Artificial Intelligence(AI)have led to the emergence of many kinds of attack-generation tools developed using these technologies to evade detection *** detection and misuse detection are the most commonly used techniques for detecting intrusion by unknown *** anomaly detection is adequate for detecting unknown attacks,its disadvantage is the possibility of high false *** detection has low false alarms;its limitation is that it can detect only known *** overcome such limitations,many researchers have proposed a hybrid intrusion detection that integrates these two detection *** method can overcome the limitations of conventional methods and works better in detecting unknown ***,this method does not accurately classify attacks like similar to normal or known ***,we proposed a hybrid intrusion detection to detect unknown attacks similar to normal and known *** anomaly detection,the model was designed to perform normal detection using Fuzzy c-means(FCM)and identify attacks hidden in normal predicted data using *** misuse detection,the model was designed to detect previously known attacks using Classification and Regression Trees(CART)and apply Isolation Forest(iForest)to classify unknown attacks hidden in known *** an experiment result,the application of relabeling improved attack detection accuracy in anomaly detection by approximately 11%and enhanced the performance of unknown attack detection in misuse detection by approximately 10%.

关键词： Unknown attack hybrid intrusion detection fuzzy c-means relabeling CART iForest

Network Traffic Synthesis and Simulation Framework for Cybersecurity Exercise Systems

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Computers, Materials & Continua 2024年第9期80卷 3637-3653页

作者： Dong-Wook Kim Gun-Yoon Sin Kwangsoo Kim Jaesik Kang Sun-Young Im myung-mook han Department of AI Software Gachon UniversitySeongnam-Si13120Republic of Korea School of Computer Engineering&Applied Mathematics Hankyong National UniversityPyeongtaek-Si17738Republic of Korea Cyber ElectronicWarfare Research and Development LIG Nex1Seongnam-Si13488Republic of Korea

In the rapidly evolving field of cybersecurity,the challenge of providing realistic exercise scenarios that accurately mimic real-world threats has become increasingly *** methods often fall short in capturing the dynamic and complex nature of modern cyber *** address this gap,we propose a comprehensive framework designed to create authentic network environments tailored for cybersecurity exercise *** framework leverages advanced simulation techniques to generate scenarios that mirror actual network conditions faced by professionals in the *** cornerstone of our approach is the use of a conditional tabular generative adversarial network(CTGAN),a sophisticated tool that synthesizes realistic synthetic network traffic by learning fromreal data *** technology allows us to handle technical components and sensitive information with high fidelity,ensuring that the synthetic data maintains statistical characteristics similar to those observed in real network *** meticulously analyzing the data collected from various network layers and translating these into structured tabular formats,our framework can generate network traffic that closely resembles that found in actual *** integral part of our process involves deploying this synthetic data within a simulated network environment,structured on software-defined networking(SDN)principles,to test and refine the traffic *** simulation not only facilitates a direct comparison between the synthetic and real traffic but also enables us to identify discrepancies and refine the accuracy of our *** initial findings indicate an error rate of approximately 29.28%between the synthetic and real traffic data,highlighting areas for further improvement and *** providing a diverse array of network scenarios through our framework,we aim to enhance the exercise systems used by cybersecurity *** not only improves their ability to r

关键词： Cybersecurity exercise synthetic network traffic generative adversarial network traffic generation software-defined networking

Elafibranor:A promising therapeutic approach for liver fibrosis and gut barrier dysfunction in alcohol-associated liver disease

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World Journal of Gastroenterology 2025年第3期31卷 123-126页

作者： Chun-han Cheng Wen-Rui Hao Tzu-Hurng Cheng Department of Medical Education Linkou Chang Gung Memorial HospitalTaoyuan 33305Taiwan Division of Cardiology Department of Internal MedicineShuang Ho HospitalMinistry of Health and WelfareTaipei Medical UniversityNew Taipei City 23561Taiwan Division of Cardiology Department of Internal MedicineSchool of MedicineCollege of MedicineTaipei Medical UniversityTaipei 11002Taiwan Department of Biochemistry School of MedicineCollege of MedicineChina Medical UniversityTaichung 404328Taiwan

This article discusses the recent study written by Koizumi et ***-associated liver disease(ALD)is a major cause of liver-related morbidity and mortality,which is driven by complex mechanisms,including lipid accumulation,apoptosis,and inflammatory responses exacerbated by gut barrier *** study explored the therapeutic potential of elafibranor,a dual peroxisome proliferatoractivated receptor alpha/delta *** clinical trials,elafibranor has shown promise for the treatment of other liver conditions;however,its effects on ALD remain *** authors’findings indicate that elafibranor significantly reduced liver fibrosis and enhanced gut barrier integrity in patients with *** positive effects of elafibranor are mediated through multiple *** promotes lipid metabolism,reduces oxidative stress,and inhibits inflammatory responses by restoring gut barrier ***,it improves hepatocyte function by enhancing autophagic and antioxidant capacity,and it mitigates inflammation by suppressing the lipopolysaccharide/toll-like receptor 4/nuclear factor kappa B signaling *** findings indicate that elafibranor has promising clinical *** addition,the study highlights elafibranor’s potential as a therapeutic agent for liver diseases,particularly *** article underscores the importance of understanding the mechanistic pathways underlying ALD and suggests directions for future research aimed at elucidating the benefits and limitations of elafibranor.

关键词： Elafibranor Liver fibrosis Gut barrier function Alcohol-associated liver disease Peroxisome proliferatoractivated receptor agonists

Advancing treatment strategies:Insights from network meta-analysis of hepatic arterial infusion chemotherapy for advanced hepatocellular carcinoma

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 252-255页

作者： Chun-han Cheng Wen-Rui Hao Tzu-Hurng Cheng Department of Medical Education Linkou Chang Gung Memorial HospitalTaoyuan City 33305TaiwanChina Division of Cardiology Department of Internal MedicineShuang Ho HospitalMinistry of Health and WelfareTaipei Medical UniversityNew Taipei City 23561TaiwanChina Division of Cardiology Department of Internal MedicineSchool of MedicineCollege of MedicineTaipei Medical UniversityTaipei 11002TaiwanChina Department of Biochemistry School of MedicineCollege of MedicineChina Medical UniversityTaichung City 404328TaiwanChina

This study examines the pivotal findings of the network meta-analysis of Zhou et al,which evaluated the efficacy of hepatic arterial infusion chemotherapy and combination therapies for advanced hepatocellular carcinoma(HCC).This meta-analysis suggests that therapeutic combinations have greater efficacy than do standard *** article highlights the key insights that have the potential to shift current clinical practice and enhance outcomes for patients with advanced ***,this article discusses further research that can be conducted to optimize these treatments and achieve personalized care for patients with HCC.

关键词： Hepatic arterial infusion chemotherapy Advanced hepatocellular carcinoma Combination therapy Network meta-analysis Treatment efficacy

Fanlian Huazhuo formula:A promising therapeutic approach for metabolic associated steatotic liver disease

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World Journal of Gastroenterology 2025年第1期31卷 167-171页

作者： Chun-han Cheng Wen-Rui Hao Tzu-Hurng Cheng Department of Medical Education Linkou Chang Gung Memorial HospitalTaoyuan 33305Taiwan Division of Cardiology Department of Internal MedicineShuang Ho HospitalMinistry of Health and WelfareTaipei Medical UniversityNew Taipei 23561Taiwan Division of Cardiology Department of Internal MedicineSchool of MedicineCollege of MedicineTaipei Medical UniversityTaipei 11002Taiwan Department of Biochemistry School of MedicineCollege of MedicineChina Medical UniversityTaichung 404328Taiwan

This article reviews the study,“Fanlian huazhuo formula alleviates high-fat-dietinduced nonalcoholic fatty liver disease by modulating autophagy and lipid synthesis signaling pathway”published in the World Journal of *** study explores the therapeutic potential of Fanlian Huazhuo formula(FLHZF)in treating metabolic-associated steatotic liver disease(MASLD),demonstrating that FLHZF reduces lipid accumulation,oxidative stress,and liver injury in MASLD models by modulating key signaling pathways involved in lipid metabolism and *** editorial emphasizes the potential of FLHZF as a treatment for MASLD and calls for further research to verify its clinical efficacy.

关键词： Fanlian Huazhuo formula Metabolic associated steatotic liver disease Autophagy Lipid metabolism Oxidative stress

Crystallization Modulation and Holistic Passivation Enables Efficient Two‑Terminal Perovskite/CuIn(Ga)Se_(2)Tandem Solar Cells

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Nano-Micro Letters 2025年第1期17卷 205-215页

作者： Cong Geng Kuanxiang Zhang Changhua Wang Chung Hsien Wu Jiwen Jiang Fei Long Liyuan han Qifeng han Yi‑Bing Cheng Yong Peng State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070People’s Republic of China Triumph Photovoltaic Materials Co. Ltd.No.1001 Yannan AvenueHigh‑Tech Development DistrictBengbuAnhui 233000People’s Republic of China College of Materials Science and Engineering Guilin University of TechnologyGuilin 541004People’s Republic of China State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Two-terminal(2-T)perovskite(PVK)/CuIn(Ga)Se_(2)(CIGS)tandem solar cells(TSCs)have been considered as an ideal tandem cell because of their best bandgap matching regarding to Shockley–Queisser(S–Q)***,the nature of the irregular rough morphology of commercial CIGS prevents people from improving tandem device *** this paper,D-homoserine lactone hydrochloride is proven to improve coverage of PVK materials on irregular rough CIGS surfaces and also passivate bulk defects by modulating the growth of PVK *** addition,the minority carriers near the PVK/C60 interface and the incompletely passivated trap states caused interface recombination.A surface reconstruction with 2-thiopheneethylammonium iodide and N,N-dimethylformamide assisted passivates the defect sites located at the surface and grain ***,LiF is used to create this field effect,repelling hole carriers away from the PVK and C60 interface and thus reducing *** a result,a 2-T PVK/CIGS tandem yielded a power conversion efficiency of 24.6%(0.16 cm^(2)),one of the highest results for 2-T PVK/CIGS TSCs to our *** validation underscores the potential of our methodology in achieving superior performance in PVK/CIGS tandem solar cells.

关键词： PVK/CIGS TSCs Irregular rough surfaces Modulating the growth PVK/C60 interface recombination

Potential role of tanycyte-derived neurogenesis in Alzheimer's disease

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Neural Regeneration Research 2025年第6期20卷 1599-1612页

作者： Guibo Qi han Tang Jianian Hu Siying Kang Song Qin Department of Anatomy Histologyand EmbryologySchool of Basic Medical SciencesFudan UniversityShanghaiChina State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science Fudan UniversityShanghaiChina

Tanycytes, specialized ependymal cells located in the hypothalamus, play a crucial role in the generation of new neurons that contribute to the neural circuits responsible for regulating the systemic energy balance. The precise coordination of the gene networks controlling neurogenesis in naive and mature tanycytes is essential for maintaining homeostasis in adulthood. However, our understanding of the molecular mechanisms and signaling pathways that govern the proliferation and differentiation of tanycytes into neurons remains limited. This article aims to review the recent advancements in research into the mechanisms and functions of tanycyte-derived neurogenesis. Studies employing lineage-tracing techniques have revealed that the neurogenesis specifically originating from tanycytes in the hypothalamus has a compensatory role in neuronal loss and helps maintain energy homeostasis during metabolic diseases. Intriguingly,metabolic disorders are considered early biomarkers of Alzheimer's disease. Furthermore,the neurogenic potential of tanycytes and the state of newborn neurons derived from tanycytes heavily depend on the maintenance of mild microenvironments, which may be disrupted in Alzheimer's disease due to the impaired blood–brain barrier ***, the specific alterations and regulatory mechanisms governing tanycyte-derived neurogenesis in Alzheimer's disease remain unclear. Accumulating evidence suggests that tanycyte-derived neurogenesis might be impaired in Alzheimer's disease, exacerbating neurodegeneration. Confirming this hypothesis, however, poses a challenge because of the lack of long-term tracing and nucleus-specific analyses of newborn neurons in the hypothalamus of patients with Alzheimer's disease. Further research into the molecular mechanisms underlying tanycyte-derived neurogenesis holds promise for identifying small molecules capable of restoring tanycyte proliferation in neurodegenerative diseases. This line of investigation could pro

关键词： Alzheimer's disease blood–brain barrier ependymoglial cells hypothalamus metabolic diseases neural stem cells neurogenesis neuroinflammatory diseases neurons tanycyte