Flaws and Remedies of the MIDD Approach

Xiaofeng Luo, Sen Wang, Wanbo Luo
{"title":"Flaws and Remedies of the MIDD Approach","authors":"Xiaofeng Luo, Sen Wang, Wanbo Luo","doi":"10.12783/DTCSE/CCNT2020/35413","DOIUrl":null,"url":null,"abstract":"We found that the Multi-data-type Interval Decision Diagrams (MIDD) approach proposed by Ngo et al. has some flaws: the way in which the critical mark of an attribute is represented does not retain the critical information, definition of the internal node is not entirely correct, and there are bugs in the corresponding algorithms. The first flaw could lead to potential missing attribute attacks, the second one wastes resources, and the last one makes the decision diagrams inconsistent. Two solutions were proposed to fix the first flaw. The first solution is to expand the scope of representation of internal nodes from only normal attributes of subject, object, operations, and environmental conditions to other required elements so that the critical attribute marks, obligations and/or advices, etc. are also represented by nodes. The second solution is to bind the critical mark of an attribute to its value. For the second flaw, corresponding definition was revised. For the third problem, a debug suggestion was made. The corresponding decision diagrams showed that the proposed schemes can overcome these problems of the MIDD approach.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTCSE/CCNT2020/35413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We found that the Multi-data-type Interval Decision Diagrams (MIDD) approach proposed by Ngo et al. has some flaws: the way in which the critical mark of an attribute is represented does not retain the critical information, definition of the internal node is not entirely correct, and there are bugs in the corresponding algorithms. The first flaw could lead to potential missing attribute attacks, the second one wastes resources, and the last one makes the decision diagrams inconsistent. Two solutions were proposed to fix the first flaw. The first solution is to expand the scope of representation of internal nodes from only normal attributes of subject, object, operations, and environmental conditions to other required elements so that the critical attribute marks, obligations and/or advices, etc. are also represented by nodes. The second solution is to bind the critical mark of an attribute to its value. For the second flaw, corresponding definition was revised. For the third problem, a debug suggestion was made. The corresponding decision diagrams showed that the proposed schemes can overcome these problems of the MIDD approach.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
MIDD方法的缺陷与补救
我们发现Ngo等人提出的多数据类型区间决策图(MIDD)方法存在一些缺陷:属性关键标记的表示方式没有保留关键信息,内部节点的定义不完全正确,相应的算法存在缺陷。第一个缺陷可能导致潜在的缺失属性攻击,第二个缺陷浪费资源,最后一个缺陷使决策图不一致。针对第一个缺陷,提出了两种解决方案。第一种解决方案是将内部节点的表示范围从主体、对象、操作、环境条件等正常属性扩展到其他所需元素,使关键属性标记、义务和/或建议等也由节点表示。第二种解决方案是将属性的关键标记绑定到它的值。对于第二个缺陷,修改了相应的定义。针对第三个问题,提出了调试建议。相应的决策图表明,所提出的方案可以克服MIDD方法的这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Analysis and Empirical Study on the Generation Mechanism of Consumer Flow Experience in Brand Community Research on Model and Algorithm of User Access Pattern Data Mining Integrated Tunable Distributed Feedback Reflection Filter Based on Double-Layer Graphene Distance Classifier Ensemble Based on Intra-Class and Inter-Class Scatter Communication Equipment Condition Based Maintenance Decision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1