A multidimensional approach to information security risk management using FMEA and fuzzy theory

Silva, Maísa Mendonça; Gusmão, Ana Paula Henriques de; Poleto, Thiago; Silva, Lúcio Câmara e; Costa, Ana Paula Cabral Seixas

doi:10.1016/j.ijinfomgt.2014.07.005

Cited by 111 publications

(56 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Karena itu, pada penelitian ini, metode FMEA diintegrasikan dengan logika fuzzy untuk mengatasi beberapa kelemahan tersebut. Logika fuzzy dipilih karena menurut Silva, dkk. (2014), Mandal & Maiti (2014), Kumru & Kumru (2013), Jong, dkk.…”

Section: Pendahuluanunclassified

See 1 more Smart Citation

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

Widianti¹,

Firdaus²

2018

j. standard.

View full text Add to dashboard Cite

Failure Mode and Effect Analysis (FMEA) banyak diimplementasikan untuk analisis risiko baik di bidang manufaktur maupun jasa. Permasalahan yang sering timbul pada implementasi FMEA yaitu sulitnya menentukan peringkat risiko karena kesamaan nilai RPN. Samanya nilai RPN menimbulkan kesulitan bagi pengambil keputusan untuk memprioritisasi risiko yang harus ditindaklanjuti. Logika fuzzy merupakan logika matematis yang dapat digunakan untuk memperbaiki kelemahan FMEA. Sehingga, tujuan penelitian ini adalah integrasi FMEA dengan logika fuzzy sebagai upaya perbaikan terhadap metode FMEA. Tujuan lainnya adalah implementasi integrasi Fuzzy-FMEA pada lingkup pengujian suhu lemari es. Implementasi Fuzzy-FMEA pada pengujian ini dilakukan sebagai tindakan pencegahan terhadap risiko kegagalan pada pengujian yang dipersyaratkan oleh SNI ISO/IEC 17025:2008. Studi kasus pengujian suhu pada lemari es ini dipilih karena lemari es merupakan salah satu produk yang diwajibkan untuk memperoleh Sertifikat Produk Penggunaan Tanda SNI (SPPT-SNI) yang mengacu pada standar SNI IEC 60335-2-7:2009. Selain itu, penerapan Fuzzy-FMEA pada konteks pengujian sampai saat ini belum ditemukan. Hasil analisis dengan Fuzzy-FMEA menunjukkan bahwa risiko kegagalan paling tinggi pada proses pengujian suhu lemari es paling tinggi terjadi pada mode kegagalan: power source tibatiba shut down dengan nilai RPN 5,8887.

show abstract

Section: Pendahuluanunclassified

“…Oleh karena itu, variabel fuzzy memiliki nilai keanggotaan tidak hanya 0 dan 1 namun dapat juga bernilai antara 0 dan 1 (Rafie & Namin, 2015). Fuzzy menawarkan kerangka berpikir yang lebih realistis dibandingkan metode klasik dengan mengelola informasi yang tidak akurat dengan memanipulasi data secara matematis (Silva, dkk., 2014).…”

Section: Pendahuluanunclassified

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

Widianti¹,

Firdaus²

2018

j. standard.

View full text Add to dashboard Cite

show abstract

“…Most recently, Muckin and Fitch [13] of Lockheed Martin Corporation offer a "threat-driven" approach to cybersecurity and recommend using FMEA to monitor the security of an information system. Also, Silva et al [14] and Ayofe and Irwin [18] use FMEA to analyze the security threats.…”

Section: Literature Reviewmentioning

confidence: 99%

Strengthening information technology security through the failure modes and effects analysis approach

Asllani

Lari

2018

Int J Qual Innov

View full text Add to dashboard Cite

Proper protection of information systems is a major quality issue of organizational risk management. Risk management is a process whereby risk factors are identified and then virtually eliminated. Failure modes and effects analysis (FMEA) is a risk management methodology for identifying system's failure modes with their effects and causes. FMEA identifies potential weaknesses in the system. This approach allows companies to correct areas identified through the process before the system fails. In this paper, we identify several critical failure factors that may jeopardize the security of information systems. In doing this, we systematically identify, analyze, and document the possible failure modes and the possible effects of each failure on the system. The proposed cybersecurity FMEA (C-FMEA) process results in a detailed description of how failures influence the system's performance and how they can be avoided. The applicability of the proposed C-FMEA is illustrated with an example from a regional airport.

show abstract

“…However, there is ample room for improvement in the following aspects due to the unknown nature of fuzzy information: the effective measurement of fuzzy information, and more refined and accurate prediction of information. Therefore, this paper carries out an in-depth analysis on multi-constrained fuzzy prediction of complex system engineering based on the fuzzy system theory [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Design of Improved Algorithm and Model for Multi-Constrained Fuzzy Predictive Analysis

Song¹,

Xie²,

Shi³

2019

RIA

View full text Add to dashboard Cite

Complex system engineering often has high fuzziness and multiple constraints. In this case, it is difficult to achieve consistent results through predictive analysis. To solve the problem, this paper explores the key techniques and methods for predictive analysis on complex systems, and puts forward an improved strategy for multi-constrained fuzzy predictive analysis. The author explained the normalization, weighting, granularity setting and classic domain of the attributes of multiple constraints, introduced the calculation of the fuzzy distance and fuzzy closeness for the attributes of multiple constraints, and detailed the realization of our algorithm and model multi-constrained fuzzy predictive analysis. The effectiveness and feasibility of our algorithm and model were demonstrated through comparison with relevant data in the literature. The results show that the results of our approach agree with those of the literature. The proposed algorithm and model provide a good theoretical basis to predictive analysis of complex system engineering, especially that with multiple fuzzy constraints.

show abstract

A multidimensional approach to information security risk management using FMEA and fuzzy theory

Cited by 111 publications

References 21 publications

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

Pengujian Suhu Lemari Es Dengan Metode Terintegrasi Fuzzyfailure Mode and Effect Analysis (Fuzzy-Fmea)

Strengthening information technology security through the failure modes and effects analysis approach

Design of Improved Algorithm and Model for Multi-Constrained Fuzzy Predictive Analysis

Contact Info

Product

Resources

About