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IDS-INT:Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

Digital Communications and Networks 2024年第1期10卷 190-204页

作者： Farhan Ullah Shamsher Ullah Gautam Srivastava Jerry Chun-Wei Lin School of software Northwestern Polytechnical UniversityXian710072ShaanxiChina Knowledge Unit of Systems and Technology University of Management and TechnologySialkot 51040Pakistan Department of Math and Computer Science Brandon UniversityBrandonMB R7A 6A9Canada Department of Computer Science and Math Lebanese American UniversityBeirut1102Lebanon Western Norway University of Applied Sciences BergenNorway Research centre for Interneural Computing China Medical UniversityTaichungTaiwanChina

A network intrusion detection system is critical for cyber security against llegitimate *** terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a subcategory of attack,host information,malicious scripts,*** terms of network perspectives,network traffic may contain an imbalanced number of harmful attacks when compared to normal *** is challenging to identify a specific attack due to complex features and data imbalance *** address these issues,this paper proposes an Intrusion Detection System using transformer-based transfer learning for Imbalanced Network Traffic(IDS-INT).IDS-INT uses transformer-based transfer learning to learn feature interactions in both network feature representation and imbalanced ***,detailed information about each type of attack is gathered from network interaction descriptions,which include network nodes,attack type,reference,host information,***,the transformer-based transfer learning approach is developed to learn detailed feature representation using their semantic ***,the Synthetic Minority Oversampling Technique(SMOTE)is implemented to balance abnormal traffic and detect minority ***,the Convolution Neural Network(CNN)model is designed to extract deep features from the balanced network ***,the hybrid approach of the CNN-Long Short-Term Memory(CNN-LSTM)model is developed to detect different types of attacks from the deep *** experiments are conducted to test the proposed approach using three standard datasets,i.e.,UNsWNB15,CIC-IDS2017,and *** explainable AI approach is implemented to interpret the proposed method and develop a trustable model.

关键词： Network intrusion detection Transfer learning Features extraction Imbalance data Explainable AI Cybersecurity

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A Review of Intelligent Configuration and Its Security for Complex Networks

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Chinese Journal of Electronics 2024年第4期33卷 920-947页

作者： Yue ZHAO Bin YANG Fei TENG Xianhua NIU Ning HU Bo TIAN Science and Technology on Communication Security Laboratory School of Computer and Information Engineering Chuzhou University School of Computing and Artificial Intelligence Southwest Jiaotong University School of Computer and software Engineering Xihua University Cyberspace Institute of Advanced Technology Guangzhou University

Complex networks are becoming more complex because of the use of many components with diverse technologies. In fact, manual configuration that makes each component interoperable has breed latent danger to system security. There is still no comprehensive review of these studies and prospects for further research. According to the complexity of component configuration and difficulty of security assurance in typical complex networks, this paper systematically reviews the abstract models and formal analysis methods required for intelligent configuration of complex networks, specifically analyzes, and compares the current key technologies such as configuration semantic awareness, automatic generation of security configuration, dynamic deployment, and verification evaluation. These technologies can effectively improve the security of complex networks intelligent configuration and reduce the complexity of operation and maintenance. This paper also summarizes the mainstream construction methods of complex networks configuration and its security test environment and detection index system, which lays a theoretical foundation for the formation of the comprehensive effectiveness verification capability of configuration security. The whole lifecycle management system of configuration security process proposed in this paper provides an important technical reference for reducing the complexity of network operation and maintenance and improving network security.

关键词： Complex networks Intelligent configuration Configuration security software defined network Lifecycle management software ALGORITHM AGENT

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Assessment of the Spatio-Temporal Trends of Annual Extreme Temperature Indices over Tanzania during the Period of 1982-2022

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Journal of Geoscience and Environment Protection 2024年第1期12卷 33-50页

作者： Justus Renatus Mbawala Huixin Li Daudi Mikidadi Ndabagenga Jiani Zeng Peter Nicky Mlonganile Collaborative Innovation Center on Forecast and evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing China National Meteorological Training centre Kigoma Tanzania Tanzania Meteorological Authority (TMA) Forecasting Office Kilimanjaro International Airport (KIA) Kilimanjaro Tanzania

Extreme weather and climatic phenomena, such as heatwaves, cold waves, floods and droughts, are expected to become more common and have a significant impact on ecosystems, biodiversity, and society. Devastating disasters are mostly caused by record-breaking extreme events, which are becoming more frequent throughout the world, including Tanzania. A clear global signal of an increase in warm days and nights and a decrease in cold days and nights has been observed. The present study assessed the trends of annual extreme temperature indices during the period of 1982 to 2022 from 29 meteorological stations in which the daily minimum and maximum data were obtained from NASA/POWER. The Mann-Kendall and Sen slope estimator were employed for trend analysis calculation over the study area. The analyzed data have indicated for the most parts, the country has an increase in warm days and nights, extreme warm days and nights and a decrease in cold days and nights, extreme cold days and nights. It has been disclosed that the number of warm nights and days is on the rise, with the number of warm nights trending significantly faster than the number of warm days. The percentile-based extreme temperature indices exhibited more noticeable changes than the absolute extreme temperature indices. Specifically, 66% and 97% of stations demonstrated positive increasing trends in warm days (TX90p) and nights (TN90p), respectively. Conversely, the cold indices demonstrated 41% and 97% negative decreasing trends in TX10p and TN10p, respectively. The results are seemingly consistent with the observed temperature extreme trends in various parts of the world as indicated in IPCC reports.

关键词： Climate Extremes Absolute Extreme Temperature Percentile Extreme Temperature Mann-Kendall test NASA

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Fundamental error in tree-based machine learning model selection for reservoir characterisation

Energy Geoscience

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Energy Geoscience 2024年第2期5卷 214-224页

作者： Daniel Asante Otchere centre of Excellence in Subsurface Seismic Imaging and Hydrocarbon Prediction Universiti Teknologi PETRONAS32610Seri IskandarPerak Darul RidzuanMalaysia

Over the past two decades,machine learning techniques have been extensively used in predicting reservoir *** this approach has significantly contributed to the industry,selecting an appropriate model is still challenging for most *** solely on statistical metrics to select the best model for a particular problem may not always be the most effective *** study encourages researchers to incorporate data visualization in their analysis and model selection *** evaluate the suitability of different models in predicting horizontal permeability in the Volve field,wireline logs were used to train Extra-Trees,Ridge,Bagging,and XGBoost *** Random Forest feature selection technique was applied to select the relevant logs as inputs for the *** on statistical metrics,the Extra-Trees model achieved the highest test accuracy of 0.996,RMSE of 19.54 mD,and MAE of 3.18 mD,with XGBoost coming in ***,when the results were visualised,it was discovered that the XGBoost model was more suitable for the problem being *** XGBoost model was a better predictor within the sandstone interval,while the Extra-Trees model was more appropriate in non-sandstone *** this study aims to predict permeability in the reservoir interval,the XGBoost model is the most *** contrasting results demonstrate the importance of incorporating data visualisation techniques as an evaluation *** the heterogeneity of the subsurface,relying solely on statistical metrics may not be sufficient to determine which model is best suited for a particular problem.

关键词： Data visualisation Permeability Machine learning Statistical metrics

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Comparison of SETAM with Security Use Case and Security Misuse Case:A software Security testing Study

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Wuhan University Journal of Natural Sciences 2012年第6期17卷 516-520页

作者： HUI Zhanwei HUANG Song software test and evaluation centre PLA University of Science and TechnologyNanjing 210007JiangsuChina PLA Military Training software test and evaluation centre Nanjing 210007JiangsuChina

A software security testing behavior model,SETAM,was proposed in our previous work as the integrated model for describing software security testing requirements behavior,which is not only compatible with security functions and latent typical misuse behaviors,but also with the interaction of *** this paper,we analyze the differences between SETAM with security use case and security misuse case in different types of security test *** illustrate the effectiveness of SETAM,we compare them in a practical case study by the number of test cases and the number of faults detected by *** results show that SETAM could decrease about 34.87% use cases on average,and the number of faults detected by SETAM increased by 71.67% in average,which means that our model can detect more faults with fewer test cases for software security testing.

关键词： security testing security use case security misuse case software security testing behavior model security testing requirement

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Analysis on Some of software Reliability Models

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Journal of Systems Engineering and Electronics 2001年第1期12卷 88-96页

作者： Song Xiaoqiu software evaluation and test Center of China Aerospace Corporation, Beijing 100854, P. R. China software evaluation and test Center of China Aerospace Corporation Beijing 100854 P. R. China

software reliability and maintainability evaluation tool (SRMET 3.0) is introducted in detail in this paper, which was developed by software evaluation and test Center of China Aerospace Mechanical Corporation. SRMET 3.0 is supported by seven software reliability models and four software maintainability models. Numerical characteristics for all those models are deeply studied in this paper, and corresponding numerical algorithms for each model are also given in the paper.

关键词： software Reliability evaluation Model

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Analysis of Changes of Extreme Temperature during June to August Season over Tanzania

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Journal of Geoscience and Environment Protection 2024年第2期12卷 44-56页

作者： Justus Renatus Mbawala Huixin Li Jiani Zeng Daudi Mikidadi Ndabagenga Anqin Tan Daniela Janine Beukes Praksed Mrosso Rafael Samuel Ekwacu Collaborative Innovation Center on Forecast and evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing China National Meteorological Training centre Kigoma Tanzania Tanzania Meteorological Authority (TMA) Forecasting Office Kilimanjaro International Airport (KIA) Kilimanjaro Tanzania Namibia Meteorological Service Windhoek Namibia Uganda National Meteorological Authority Kampala Uganda

Natural and human systems are exposed and vulnerable to climate extremes, which contributes to the repercussions of climate variability and the probability of disasters. The impacts of both natural and human-caused climate variability are reflected in the reported changes in climate extremes. Particularly at the local community levels in the majority of the regions, there is currently a dearth of information regarding the distribution, dynamics, and trends of excessive temperatures among the majority of Tanzanians. Over the years 1982-2022, this study examined trends in Tanzania’s extreme temperature over the June to August season. Based on the distinction between absolute and percentile extreme temperatures, a total of eight ETCCDI climate indices were chosen. Mann-Kendall test was used to assess the presence of trends in extreme climatic indices and the Sen’s Slope was applied to compute the extent of the trends in temperature extremes. The study showed that in most regions, there is significant increase of warm days and nights while the significant decrease of cold days and nights was evident to most areas. Moreover, nighttime warming surpasses daytime warming in the study area. The study suggests that anthropogenic influences may contribute to the warming trend observed in extreme daily minimum and maximum temperatures globally, with Tanzania potentially affected, as indicated in the current research. The overall results of this study reflect patterns observed in various regions worldwide, where warm days and nights are on the rise while cold days and nights are diminishing.

关键词： Indices Warm Days and Nights Cold Days and Nights ECA&D Tanzania

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Climate prediction of the seasonal sea-ice early melt onset in the Bering Sea

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Atmospheric and Oceanic Science Letters 2024年第2期17卷 13-18页

作者： Baoqiang Tian Ke Fan Nansen-Zhu International Research centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Atmospheric Science Sun Yat-sen Universityand Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)ZhuhaiChina Collaborative Innovation Center on Forecast and evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjingChina

基于大尺度环流异常对海冰消融的影响过程,本文采用年际增量预测方法研制了白令海季节性海冰早期消融开始日期(EMO)的统计预测模型.预测模型选取了3个具有明确物理意义的预测因子:1月波弗特高压,前期11月东西伯利亚地区海平面气压,以及1... 详细信息

基于大尺度环流异常对海冰消融的影响过程,本文采用年际增量预测方法研制了白令海季节性海冰早期消融开始日期(EMO)的统计预测模型.预测模型选取了3个具有明确物理意义的预测因子:1月波弗特高压,前期11月东西伯利亚地区海平面气压,以及11月东欧平原积雪覆盖率。1月波弗特高压可以通过海气相互作用影响白令海地区海温异常,该海温异常能够从1月持续到3月,进而影响白令海EMO.11月东西伯利亚地区海平面气压与11月至次年2月北太平洋中纬度东部海温密切相关。伴随着北太平洋中纬度东部冷海温异常的出现,白令海地区会出现暖海温异常,进而导致白令海海冰范围减少,EMO较晚.1月北极偶极子异常是11月东欧平原积雪覆盖率影响次年白令海EMO的桥梁之一.1981-2022年的交叉检验结果表明:统计模型对白令海EMO具有较好的预测能力,预测与观测的EMO之间时间相关系数达到了0.45,超过了99%的置信水平.统计模型对白令海EMO正常年份和异常年份的预测准确率分别为60%和41%.

关键词：早期消融开始日期白令海季节性海冰波弗特高压统计预测模型

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Refinement modeling and verification of secure operating systems for communication in digital twins

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Digital Communications and Networks 2024年第2期10卷 304-314页

作者： Zhenjiang Qian Gaofei Sun Xiaoshuang Xing Gaurav Dhiman School of Computer Science and Engineering Changshu Institute of TechnologySuzhou215500China University centre for Research and Development Department of Computer Science and EngineeringChandigarh UniversityMohali140413India Department of Computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India

In traditional digital twin communication system testing,we can apply test cases as completely as possible in order to ensure the correctness of the system implementation,and even then,there is no guarantee that the digital twin communication system implementation is completely *** verification is currently recognized as a method to ensure the correctness of software system for communication in digital twins because it uses rigorous mathematical methods to verify the correctness of systems for communication in digital twins and can effectively help system designers determine whether the system is designed and implemented *** this paper,we use the interactive theorem proving tool Isabelle/HOL to construct the formal model of the X86 architecture,and to model the related assembly *** verification result shows that the system states obtained after the operations of relevant assembly instructions is consistent with the expected states,indicating that the system meets the design expectations.

关键词： Theorem proving Isabelle/HOL Formal verification System modeling Correctness verification

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Survival Rate and Factors Influencing It in Triptorelin-Castrated Metastatic Prostate Cancer Patients

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Open Journal of Urology 2024年第3期14卷 160-172页

作者： Sossa Jean Vissoh Gilvias Yevi Dodji Magloire Inès Hodonou Fred Avakoudjo Déjinnin Josué Georges centre National Hospitalier Universitaire Hubert Koutoucou Maga Cotonou Bénin

Background: Most newly diagnosed prostate cancers in Benin are metastatic diseases and patients are reluctant to undergo orchiectomy. Still, chemical androgen deprivation therapy is not always available and not every patient can afford it. Thus, it will be interesting to evaluate the results of that therapy in the country. Objective: To analyze the survival rate and factors influencing it in metastatic prostate cancer patients who underwent triptorelin-based androgen deprivation therapy at the former Military Teaching Hospital of Cotonou from January 1, 2012, to December 31, 2022. Patients and Method: Metastatic prostate cancer patients received intragluteal injections of triptorelin 11.25 mg every 3 months. We retrospectively collected follow-up data from the patients’ medical records. By means of the software StataTM version 15, we performed a descriptive analysis of qualitative data. We used Kaplan-Meir method to estimate the overall survival rate in the whole cohort and in specific subgroups of patients. We compared survival rates by using the log-rank test. Results: 68 metastatic prostate cancer patients aged 47-86 years (mean = 69.9) with initial PSA ranging from 24.25 to 6334 ng/mL (mean = 666.1) started triptorelin-based castration. The tumor grade in 21 (33.3%), 14 (22.2%), 15 (23.8), 8 (12.7%), and 5 (7.9%) patients was respectively ISUP grade groups 5, 4, 3, 2, and 1. 15 (22.1%), 4 (5.9%), 2 (2.9%), 1 (1.5%), 11 (16.2%), and 7 (10.3%) patients respectively had hypertension, diabetes mellitus, peptic ulcer, asthma, unilateral or bilateral hydronephrosis, and paralysis. The mean nadir PSA level was 22.5 ng/mL (range: 0.01-220.25). The mean time to nadir PSA level was 8.9 months (range: 3-57). The overall survival rate was 42.6%. There was no significant survival difference between age groups (p = 0.475), relating to the presence of diabetes or hypertension (p = 0.757) or to the presence of paralysis or hydronephrosis (p = 0.090). The initial PSA level exert

关键词： Metastatic Prostate Cancer Androgen Deprivation Therapy Overall Survival PSA Nadir

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