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***:Hybrid Deep Learning for Enhancing IoT Network Intrusion Detection

Computers, Materials & Continua 2021年第12期69卷 3945-3966页

作者： Ziadoon K.Maseer robiah yusof Salama A.Mostafa Nazrulazhar Bahaman Omar Musa Bander Ali Saleh Al-rimy Faculty of Information and Communication Technology Universiti Teknikal MalaysiaMelaka76100Malaysia Center of Intelligent and Autonomous Systems Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaJohor86400Malaysia Faculty of Business and Technology UNITAR International UniversitySelangor47301Malaysia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor81310Malaysia

With an increasing number of services connected to the internet,including cloud computing and Internet of Things(IoT)systems,the prevention of cyberattacks has become more challenging due to the high dimensionality of the network traffic data and access ***,researchers have suggested deep learning(DL)algorithms to define intrusion features through training empirical data and learning anomaly patterns of ***,due to the high dynamics and imbalanced nature of the data,the existing DL classifiers are not completely effective at distinguishing between abnormal and normal behavior line connections for modern ***,it is important to design a self-adaptive model for an intrusion detection system(IDS)to improve the detection of ***,in this paper,a novel hybrid weighted deep belief network(HW-DBN)algorithm is proposed for building an efficient and reliable IDS(***)model to detect existing and novel *** HW-DBN algorithm integrates an improved Gaussian–Bernoulli restricted Boltzmann machine(Deep GB-RBM)feature learning operator with a weighted deep neural networks(WDNN)*** CICIDS2017 dataset is selected to evaluate the *** model as it contains multiple types of attacks,complex data patterns,noise values,and imbalanced *** have compared the performance of the *** model with three recent *** results show the *** model outperforms the three other models by achieving a higher detection accuracy of 99.38%and 99.99%for web attack and bot attack scenarios,***,it can detect the occurrence of low-frequency attacks that are undetectable by other models.

关键词： Cyberattacks internet of things intrusion detection system deep learning neural network supervised and unsupervised deep learning

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A Forensic Traceability Index in Digital Forensic Investigation

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Journal of Information Security 2013年第1期4卷 19-32页

作者： Siti Rahayu Selamat Shahrin Sahib Nor Hafeizah robiah yusof Mohd Faizal Abdollah Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Melaka City Malaysia

Digital crime inflicts immense damage to users and systems and now it has reached a level of sophistication that makes it difficult to track its sources or origins especially with the advancements in modern computers, networks and the availability of diverse digital devices. Forensic has an important role to facilitate investigations of illegal activities and inappropriate behaviors using scientific methodologies, techniques and investigation frameworks. Digital forensic is developed to investigate any digital devices in the detection of crime. This paper emphasized on the research of traceability aspects in digital forensic investigation process. This includes discovering of complex and huge volume of evidence and connecting meaningful relationships between them. The aim of this paper is to derive a traceability index as a useful indicator in measuring the accuracy and completeness of discovering the evidence. This index is demonstrated through a model (TraceMap) to facilitate the investigator in tracing and mapping the evidence in order to identify the origin of the crime or incident. In this paper, tracing rate, mapping rate and offender identification rate are used to present the level of tracing ability, mapping ability and identifying the offender ability respectively. This research has a high potential of being expanded into other research areas such as in digital evidence presentation.

关键词： Digital Forensic Investigation Traceability Tracing Rate Mapping Rate Offender Identification Rate Forensic Traceability Index Trace Pattern

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Comparative performance of different urea coating materials for slow release

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Particuology 2014年第6期12卷 165-172页

作者： Khairul Ridzwan Mohd Ibrahim Farahnaz Eghbali Babadi robiah Yunus Department of Chemical and Environmental Engineering Faculty of EngineeringUniversiti Putra Malaysia Institute of Advanced Technology Universiti Putra Malaysia

Approximately 70%of the applied urea fertilizer may be lost into the *** loss is due to leaching,decomposition and ammonium volatilization in soil,water and *** coating,the slow release technology can be used to reduce losses and to increase the fertilizer *** has been used as a coating material,but the coating cracks easily because of its friability,sometimes being peeled off from the urea *** this study,four types of materials,namely,gypsum,cement,sulfur and zeolite,were mixed and used as coating materials to search for the most effective and cheap coating *** primary reasons for selecting these materials were improving fruit quality and preventing plant diseases,providing a plant nutrient,increasing soil fertility and water *** materials were also selected based on their availability,processiblity and *** effects of the coating materials,thickness,drying time,sieving and sealant on the crushing strength and dissolution rate of urea were *** urea with the same proportion of gypsum-sulfur exhibited high crushing strength and lower dissolution ***,the performance was further enhanced by applying molten paraffin wax on the hot urea *** images demonstrated that the micro-structure of gypsum-sulfur coated urea after sieving resulted in a smoother coated *** efficiency of the coated urea was improved by26%using gypsum-sulfur（20%total coating）,3%paraffin wax and sieving the coating materials before application.

关键词： Coating Urea Gypsum Sulfur Slow release Crushing strength

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New coating formulation for the slow release of urea using a mixture of gypsum and dolomitic limestone

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Particuology 2015年第6期13卷 62-67页

作者： Farahnaz Eghbali Babadi robiah Yunus Suraya Abdul Rashid Mohamad Amran Mohd Salleh Salmiaton Ali Institute of Advanced Technology Universiti Putra Malaysia Selangor 43400 Malaysia Departments of Chemical and Environmental Engineering Faculty of Engineering Universiti Putra Malaysia Selangor 43400 Malaysia

The use of urea and urea-based fertilizers has increased considerably over the past 15 years. They cur- rently account for approximately 51% of the world＇s agricultural nitrogen consumption. However, about 20-70% of the applied urea fertilizer is lost to the environment, causing serious pollution and increasing costs. These losses come from leaching, decomposition, and ammonium volatilization in the soil during handling and storage. Controlled release by coating can be used to increase urea fertilizer efficiency. We studied the use of gypsum, sulfur, and ground magnesium lime as cost-effective coating materials. All these coating materials contain nutrients required by plants. The effects of the coating composition and proportion of sealant on the rate of urea release and the crushing strength of the coated urea were investigated. We found that coated urea with the same proportion of gypsum-ground magnesium lime （GML） exhibited low urea release and high crushing strength. The performance was enhanced when using polyols as a sealant on the surface of the coated urea. A surface morphology analysis indicated a uniform and smooth surface on the coated film. The efficiency of the coated urea improved by 34.2% when using gypsum-GML （ 1：1 ratio） containing 1.1% oolvols.

关键词： Ground magnesium lime Crushing strength Rotary pan SealantPolyol

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Assessing the kinetic model of hydro-distillation and chemical composition ofAquilaria malaccensis leaves essential oil

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Chinese Journal of Chemical Engineering 2017年第2期25卷 216-222页

作者： Mahtab Samadi Zurina Zainal Abidin robiah Yunus Dayang Radiah Awang Biak Hiroyuki Yoshida Eng Hai Lok Department of Chemical and Environmental Engineering Faculty of EngineeringUniversity Putra MalaysiaserdangSelangorDaml Ehsan 43400Malaysia Aerospace Manufacturing Research Centre(AMRC) Level 7Tower BlockFaculty of EngineeringUniversity Putra Malaysia43400 5erdang SelangorMalaysia Forest Research Institute Malaysia 52109 Kepong5elangorDarul EhsanMalaysia

This study aimed to model the kinetic of hydro-distillation of Aquilaria malaccensis leaves oil in order to understand and optimize the extraction process. In addition, this study, for the first time, aimed to identify the chemical compositions of the A. malaccensis leave-oil. By assessing both first-order kinetic model and the model of simultaneous washing and diffusion, the result indicated that the model of simultaneous washing and diffusion better describes the hydro-distillation mechanism of the essential oil from A. malaccensis *** optimum time, solid to liquid ratio, and the heating power for extracting the highest amount of essential oil were found to be around 3 h, 1:10(g·ml-1), and 300 W respectively. Yellow essential oil with a strong smell and a yield of 0.05 v/w was extracted by hydro-distillation Clevenger apparatus. Chemical compounds of the essential oil were analyzed using gas chromatography–mass spectroscopy(GC/MS), which resulted in identification of 42 compounds that constitute 93% of essential oil. Among the identified components,Pentadecanal(32.082%), 9-Octadecenal,(Z)(15.894%), and Tetradecanal(6.927%) were the major *** the fact that all the identified major components possess pesticidal properties, A. malaccensis leaves can be regarded as a promising natural source for producing pesticides.

关键词：一级动力学模型水蒸汽蒸馏法精油含量化学成分评估气相色谱-质谱法扩散模型天然源农药

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AA6061-T6合金搅拌摩擦焊搭接接头的腐蚀性能评价（英文）

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Transactions of Nonferrous Metals Society of China 2016年第3期26卷 684-696页

作者： Farhad GHARAVI Khamirul A.MATORI robiah YUNUS Norinsan K.OTHMAN Firouz FADAEIFARD Materials Synthesis and Characterization Laboratory Institute of Advanced TechnologyUniversiti Putra Malaysia43400 UPM SerdangSelangorMalaysia Department of Physics Faculty of Science Universiti Putra Malaysia43400 UPM SerdangSelangorMalaysia Schools of Applied Physics Faculty of Science and Technology University Kebangsaan Malaysia43600 UPM BangiSelangorMalaysia

采用氯化钠+过氧化氢溶液浸泡试验研究AA6061-T6铝合金搅拌摩擦焊搭接接头的腐蚀行为。采用循环动电位极化测试、扫描电子显微镜和能谱仪表征腐蚀形貌,揭示焊接区与基体合金的腐蚀机理。研究了焊接接头的显微组织和剪切强度。结果表明,... 详细信息

采用氯化钠+过氧化氢溶液浸泡试验研究AA6061-T6铝合金搅拌摩擦焊搭接接头的腐蚀行为。采用循环动电位极化测试、扫描电子显微镜和能谱仪表征腐蚀形貌,揭示焊接区与基体合金的腐蚀机理。研究了焊接接头的显微组织和剪切强度。结果表明,与基体合金相比,焊接区在腐蚀溶液中会发生晶间腐蚀和点蚀。搭接剪切测试结果表明,所得焊接接头的拉伸剪切强度为128 MPa,超过基体合金强度的60%。电化学测试结果表明,焊核区和热影响区的保护电位比点蚀电位更负,说明焊核区与热影响区点蚀的趋势不强。基体合金抗腐蚀性比焊缝区的强,而热影响区的抗腐蚀性最差。点蚀主要源于金属间化合物边缘,因为与铝基体相比,金属间化合物的自腐蚀电位更高而成为阴极。由于焊缝区的金属间化合物增加,腐蚀电偶增加,焊缝的抗腐蚀性降低。

关键词：搅拌摩擦焊搭接接头 AA6061合金点蚀焊接过程金属间化合物

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Zero-Inflated Negative Binomial Regression Model with Right Censoring Count Data

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材料科学与工程（中英文B版） 2011年第4期1卷 551-554页

作者： Seyed Ehsan Saffari robiah Adnan Department of Mathematics Faculty of Science Universiti Teknologi Malaysia Malaysia

A Poisson model is typically assumed for count data, but when there are so many zeros in the response variable, because of overdispersion, a negative binomial regression is suggested as a count regression instead of Poisson regression. In this paper, a zero-inflated negative binomial regression model with right censoring count data is developed. In this model, we consider a response variable and one or more than one explanatory variables. The estimation of regression parameters using the maximum likelihood method is discussed and the goodness-of-fit for the regression model is examined. We study the effects of censoring in terms of parameters estimation and their standard errors via simulation.

关键词：回归模型计数资料二项式零膨胀估计标准误差泊松模型最大似然法模型开发

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Modification of Intensive Care Unit Data Using Analytical Hierarchy Process and Fuzzy C-Means Model

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Journal of Mathematics and System Science 2012年第7期2卷 399-403页

作者： Mohd Saifullah Rusiman Efendi Nasibov Kavikumar Jacob robiah Adnan Faeulty of Science Technology and Human Development Universiti Tun Hussein Onn Malaysia Batu Pahat 86400 Malaysia Faculty of Science Dokuz Eylul University Buca 35678 Turkey Faculty of Science Universiti Teknologi Malaysia Skudai 81300 Malaysia

This paper proposes a proper methodology in data modification by using AHP (analytical hierarchy process) technique and FCM (fuzzy c-mean) model in the ICU (intensive care unit). The binary data were created from continuous data using FCM model, while the continuous data were constructed from binary data using AHP technique. The models used in this study are FCRM (fuzzy c-regression model). A case study in scale of health at the ICU ward using the AHP, FCM model and FCRM models was conducted. There are six independent variables in this study. There are four cases which are considered as the result of using AHP technique and FCM model against independent data. After comparing the four cases, it was found that case 4 appeared to be the best model, because it has the lowest MSE (mean square error) value. The original data have the MSE value of 97.33, while the data in case 4 have the MSE value of 82.75. This means that the use of AHP technique can reduce the MSE value, while the use of FCM model can not reduce the MSE value. In other words, it can be proved that the AHP technique can increase the accuracy of prediction in modeling scale of health which is associated with the mortality rate in the ICU.

关键词：模糊C-均值 ICU病房模型修改层次分析法重症监护层次分析技术二进制数据 CM模型

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Production of Trimethylolpropane Ester Based Lubricant from Palm Oil

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材料科学与工程（中英文版） 2010年第11期4卷 13-18页

作者： Siti Zubaidah Sulaiman robiah Yunus Luqman Chuah Abdullah Fakhru＇l-Razi Ahmadun Zulkafli Hassan Rohaida Che Man Faculty of Engineering Chemical and Natural Resources Universiti Malaysia Pahang Kuantan 25000 Pahang Malaysia Department of Chemical and Environmental Engineering Faculty of Engineering Universiti Putra Malaysia Serdang 43400 UPM Selangor Malaysia

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