Rias Kumalasari Devi, D. I. Sensuse, Kautsarina, Ryan Randy Suryono
{"title":"资讯安全风险评估(ISRA):系统的文献回顾","authors":"Rias Kumalasari Devi, D. I. Sensuse, Kautsarina, Ryan Randy Suryono","doi":"10.20473/jisebi.8.2.207-217","DOIUrl":null,"url":null,"abstract":"Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically.\nObjective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods.\nMethods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria.\nResults: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general.\nConclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems.\n \nKeywords: Information Security Risk Assessment, ISRA, Security Risk","PeriodicalId":16185,"journal":{"name":"Journal of Information Systems Engineering and Business Intelligence","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Security Risk Assessment (ISRA): A Systematic Literature Review\",\"authors\":\"Rias Kumalasari Devi, D. I. Sensuse, Kautsarina, Ryan Randy Suryono\",\"doi\":\"10.20473/jisebi.8.2.207-217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically.\\nObjective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods.\\nMethods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria.\\nResults: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general.\\nConclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems.\\n \\nKeywords: Information Security Risk Assessment, ISRA, Security Risk\",\"PeriodicalId\":16185,\"journal\":{\"name\":\"Journal of Information Systems Engineering and Business Intelligence\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Systems Engineering and Business Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20473/jisebi.8.2.207-217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Systems Engineering and Business Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20473/jisebi.8.2.207-217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Security Risk Assessment (ISRA): A Systematic Literature Review
Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically.
Objective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods.
Methods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria.
Results: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general.
Conclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems.
Keywords: Information Security Risk Assessment, ISRA, Security Risk