Journal of Advanced Computer Science and Technology最新文献

Evaluating the performance of machine learning algorithms for network intrusion detection systems in the internet of things infrastructure 评估物联网基础设施中网络入侵检测系统的机器学习算法的性能

Journal of Advanced Computer Science and Technology Pub Date : 2020-09-19 DOI: 10.14419/JACST.V9I1.30992

Y. Banadaki

{"title":"Evaluating the performance of machine learning algorithms for network intrusion detection systems in the internet of things infrastructure","authors":"Y. Banadaki","doi":"10.14419/JACST.V9I1.30992","DOIUrl":"https://doi.org/10.14419/JACST.V9I1.30992","url":null,"abstract":"As numerous Internet-of-Things (IoT) devices are deploying on a daily basis, network intrusion detection systems (NIDS) are among the most critical tools to ensure the protection and security of networks against malicious cyberattacks. This paper employs four machine learning algorithms: XGBoost, random forest, decision tree, and gradient boosting, and evaluates their performance in NIDS, considering the accuracy, precision, recall, and F-score. The comparative analysis conducted using the CICIDS2017 dataset reveals that the XGBoost performs better than the other algorithms reaching the predicted accuracy of 99.6% in detecting cyberattacks. XGBoost-based attack detectors also have the largest weighted metrics of F1-score, precision, and recall. The paper also studies the effect of class imbalance and the size of the normal and attack classes. The small numbers of some attacks in training datasets mislead the classifier to bias towards the majority classes resulting in a bottleneck to improving macro recall and macro F1 score. The results assist the network engineers in choosing the most effective machine learning-based NIDS to ensure network security for today’s growing IoT network traffic.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geometric Approach to Optimal Path Problem with Uncertain Arc Lengths 不确定弧长最优路径问题的几何方法

Journal of Advanced Computer Science and Technology Pub Date : 2020-07-25 DOI: 10.14419/JACST.V9I1.30674

A. Hasan-Zadeh

引用次数: 0

Statistical adjustment of the parameters of multi-objective optimization problems with design expert method 用设计专家法进行多目标优化问题参数的统计调整

Journal of Advanced Computer Science and Technology Pub Date : 2020-06-14 DOI: 10.14419/JACST.V9I1.30656

A. Hasan-Zadeh

引用次数: 0

Circular Gabor wavelet algorithm for fingerprint liveness detection 圆形Gabor小波算法用于指纹活性检测

Journal of Advanced Computer Science and Technology Pub Date : 2020-01-11 DOI: 10.14419/JACST.V9I1.29908

O. Onifade, Paul Akinde, F. Isinkaye

{"title":"Circular Gabor wavelet algorithm for fingerprint liveness detection","authors":"O. Onifade, Paul Akinde, F. Isinkaye","doi":"10.14419/JACST.V9I1.29908","DOIUrl":"https://doi.org/10.14419/JACST.V9I1.29908","url":null,"abstract":"Biometrics usage is growing daily and fingerprint-based recognition system is among the most effective and popular methods of personality identification. The conventional fingerprint sensor functions on total internal reflectance (TIR), which is a method that captures the external features of the finger that is presented to it. Hence, this opens it up to spoof attacks. Liveness detection is an anti-spoofing approach that has the potentials to identify physiological features in fingerprints. It has been demonstrated that spoof fingerprint made of gelatin, gummy and play-doh can easily deceive sensor. Therefore, the security of such sensor is not guaranteed. Here, we established a secure and robust fake-spoof fingerprint identification algorithm using Circular Gabor Wavelet for texture segmentation of the captured images. The samples were exposed to feature extraction processing using circular Gabor wavelet algorithm developed for texture segmentations. The result was evaluated using FAR which measures if a user presented is accepted under a false claimed identity. The FAR result was 0.03125 with an accuracy of 99.968% which showed distinct difference between live and spoof fingerprint.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117209662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Numerical analysis of transcritical carbon dioxide compression cycle: a case study 跨临界二氧化碳压缩循环的数值分析:一个案例研究

Journal of Advanced Computer Science and Technology Pub Date : 2018-02-13 DOI: 10.14419/JACST.V7I1.8827

M. Keshtkar

引用次数: 14

Usability meets security: a database case study 可用性满足安全性:一个数据库案例研究

Journal of Advanced Computer Science and Technology Pub Date : 2017-11-24 DOI: 10.14419/JACST.V6I2.8425

Yong Wang, B. Rawal

引用次数: 0

A heuristic to predict the optimal pattern-growth direction for the pattern growth-based sequential pattern mining approach 基于模式生长的序列模式挖掘方法中最优模式生长方向的启发式预测

Journal of Advanced Computer Science and Technology Pub Date : 2017-06-04 DOI: 10.14419/jacst.v6i2.7011

Kenmogne Edith Belise, Nkambou Roger, Tadmon Calvin, E. Nguifo

{"title":"A heuristic to predict the optimal pattern-growth direction for the pattern growth-based sequential pattern mining approach","authors":"Kenmogne Edith Belise, Nkambou Roger, Tadmon Calvin, E. Nguifo","doi":"10.14419/jacst.v6i2.7011","DOIUrl":"https://doi.org/10.14419/jacst.v6i2.7011","url":null,"abstract":"Sequential pattern mining is an efficient technique for discovering recurring structures or patterns from very large datasets, with a very large field of applications. It aims at extracting a set of attributes, shared across time among a large number of objects in a given database. Previous studies have developed two major classes of sequential pattern mining methods, namely, the candidate generation-and-test approach based on either vertical or horizontal data formats represented respectively by GSP and SPADE, and the pattern-growth approach represented by FreeSpan, PrefixSpan and their further extensions. The performances of these algorithms depend on how patterns grow. Because of this, we introduce a heuristic to predict the optimal pattern-growth direction, i.e. the pattern-growth direction leading to the best performance in terms of runtime and memory usage. Then, we perform a number of experimentations on both real-life and synthetic datasets to test the heuristic. The performance analysis of these experimentations show that the heuristic prediction is reliable in general.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing formal specification and verification of e-commerce protocol 加强电子商务协议的正式规范和验证

Journal of Advanced Computer Science and Technology Pub Date : 2017-02-26 DOI: 10.14419/JACST.V6I1.6713

H. Al-Refai, K. Batiha

{"title":"Enhancing formal specification and verification of e-commerce protocol","authors":"H. Al-Refai, K. Batiha","doi":"10.14419/JACST.V6I1.6713","DOIUrl":"https://doi.org/10.14419/JACST.V6I1.6713","url":null,"abstract":"Lots of work have been attempted to enhance the SET protocol performance special attention is on E-payment phase. This paper thoroughly analyzes recent works on payment phase; it has been found that this subject requires considerable enhancements, since there are areas, which require further study such as: E-payment phase in SET protocol. E-payment phase is vast and complex phase it has long series of steps. The behavior of environment is assumed by the phase and is restricted to the rules built by their proposed protocol. This paper will follow Ph-Spi calculus for formalizing and analyzing enhanced payment phase of SET protocol by reducing the number of transactions with many additional operators. A new agent controller will be formally modeled, which we can rely upon to make automated decisions during interaction with a dynamic protocol environment. So, this agent controller is used to terminate the transaction process in any case of fraud or attack. This paper is conjunction between our previous works of E-payment phase in SET protocol and other works in Ph-Spi calculus in purpose of analyzing and proving the main security properties: authentication and privacy to evaluate the efficiency of the enhanced security of electronic payment phase for SET protocol (E-SET) using Ph-Spi calculus.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The magic of internet protocol 互联网协议的魔力

Journal of Advanced Computer Science and Technology Pub Date : 2017-02-08 DOI: 10.14419/JACST.V6I1.6714

K. Batiha

引用次数: 0

Effect of subcooling and superheating on performance of a cascade refrigeration system with considering thermo- economic analysis and multi-objective optimization 考虑热经济分析和多目标优化的过冷和过热对叶栅制冷系统性能的影响

Journal of Advanced Computer Science and Technology Pub Date : 2016-07-19 DOI: 10.14419/JACST.V5I2.6217

M. Keshtkar

{"title":"Effect of subcooling and superheating on performance of a cascade refrigeration system with considering thermo- economic analysis and multi-objective optimization","authors":"M. Keshtkar","doi":"10.14419/JACST.V5I2.6217","DOIUrl":"https://doi.org/10.14419/JACST.V5I2.6217","url":null,"abstract":"In present work, effect of degrees of subcooling and superheating based on thermoeconomic optimization is investigated in two stage-cascade refrigeration system (TS-CRS). At the first step, by using R717 and R744 as refrigerants, a thermoeconomic analysis is applied to TS-CRS. Based on results of the first section and using the genetic algorithm (GA) optimizer implemented in MATLAB, the optimum operative conditions of a specific TS-CRS is determined. Finally, based on the Pareto frontier obtained from the GA optimization, a decision-making strategy is then used to determine a final solution by TOPSIS method. Two single-objective optimization strategies (SOS), i.e. exergetic optimization and cost optimization, are applied on TS-CRS. The aim of the first strategy is to maximize the exergetic efficiency and the aim of the second strategy is minimizing the total annual cost of the system. The case study results show that, compared to the base design, the use of SOS for maximizing of exergetic efficiency can be increases the exergetic efficiency 94.5%. In addition, the use of the second SOS can decrease the total system cost by 11%. Using MOS compared to base design, exergetic efficiency and the total system cost can be increase by 99.1% and 28.6% respectively.","PeriodicalId":445404,"journal":{"name":"Journal of Advanced Computer Science and Technology","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128096518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13