Big data security & individual (psychological) resilience: A review of social media risks and lessons learned from Indonesia

IF 2.3 Q2 COMPUTER SCIENCE, THEORY & METHODS
Array Pub Date : 2024-02-22 DOI:10.1016/j.array.2024.100336
Abdillah Abdillah , Ida Widianingsih , Rd Ahmad Buchari , Heru Nurasa
{"title":"Big data security & individual (psychological) resilience: A review of social media risks and lessons learned from Indonesia","authors":"Abdillah Abdillah ,&nbsp;Ida Widianingsih ,&nbsp;Rd Ahmad Buchari ,&nbsp;Heru Nurasa","doi":"10.1016/j.array.2024.100336","DOIUrl":null,"url":null,"abstract":"<div><p>This research aims to reduce social media security risks and develop best practices to help governments address social media security risks more effectively. This research begins by reviewing the different discussions in the literature about social media security risks and mitigation techniques. Based on the extensive review, several key insights were identified and summarized to help organizations address social media security risks more effectively. Many national governments around the world do not have effective social media security policies and are unsure how to develop effective social media security strategies to mitigate social media security risks. This research provides guidance to national governments on mitigating potential social media security risks. This study incorporates ongoing debates in the literature and provides guidance on how to reduce social media security and technological risks. Practical insights are identified and summarized from the extensive literature. More discussions and studies are needed on strategies and practical insights to reduce social media risk for the Indonesian government.</p></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259000562400002X/pdfft?md5=ba831e3d2d41e5a91bcf0ce7cc29aec7&pid=1-s2.0-S259000562400002X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Array","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S259000562400002X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

This research aims to reduce social media security risks and develop best practices to help governments address social media security risks more effectively. This research begins by reviewing the different discussions in the literature about social media security risks and mitigation techniques. Based on the extensive review, several key insights were identified and summarized to help organizations address social media security risks more effectively. Many national governments around the world do not have effective social media security policies and are unsure how to develop effective social media security strategies to mitigate social media security risks. This research provides guidance to national governments on mitigating potential social media security risks. This study incorporates ongoing debates in the literature and provides guidance on how to reduce social media security and technological risks. Practical insights are identified and summarized from the extensive literature. More discussions and studies are needed on strategies and practical insights to reduce social media risk for the Indonesian government.

大数据安全与个人(心理)复原力:印度尼西亚社交媒体风险与经验教训回顾
本研究旨在降低社交媒体安全风险,制定最佳实践,帮助政府更有效地应对社交媒体安全风险。本研究首先回顾了文献中关于社交媒体安全风险和缓解技术的不同讨论。在广泛查阅的基础上,确定并总结了几个关键见解,以帮助各组织更有效地应对社交媒体安全风险。世界上许多国家的政府都没有有效的社交媒体安全政策,也不知道如何制定有效的社交媒体安全战略来降低社交媒体安全风险。本研究为各国政府降低潜在的社交媒体安全风险提供了指导。本研究纳入了文献中正在进行的辩论,并就如何降低社交媒体安全和技术风险提供了指导。从大量文献中发现并总结了实用的见解。还需要对印尼政府降低社交媒体风险的策略和实用见解进行更多的讨论和研究。
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 求助全文
来源期刊
Array
Array Computer Science-General Computer Science
CiteScore
4.40
自引率
0.00%
发文量
93
审稿时长
45 days
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信