Digital security by design

Author:

Radanliev PetarORCID

Abstract

AbstractThis paper scrutinises the evolving digital security landscape, encompassing technological advancements, regulatory frameworks, and industry-specific challenges. It explores the influence of technologies like AI, quantum computing, and blockchain on security paradigms whilst identifying emergent threats. The study analyses the interplay between digital security and legislative policies, underlining their impact on industry practices and individual behaviours. Sector-specific examinations are conducted, pinpointing unique security concerns in sectors such as healthcare and finance and advocating bespoke solutions. The study highlights discrepancies between security intentions and actions, proposing strategies to bridge this divide. Projecting into the future, we anticipate shifts in technology and regulation, culminating in pragmatic recommendations for stakeholders. This article offers an informed perspective on digital security, laying the groundwork for proactive approaches in a dynamic digital environment.

Funder

Engineering and Physical Sciences Research Council

Economic and Social Research Council

Publisher

Springer Science and Business Media LLC

Reference165 articles.

1. 5Is. 2002 CLAIMED framework—For mobilising preventers—CRIME FRAMEWORKS. https://crimeframeworks.com/claimed-mobilisation-of-preventers/. Accessed 23 January 2024.

2. Abie, H., and I. Balasingham. 2012. Risk-based adaptive security for smart IoT in eHealth. SeTTIT 2012, September 24–26, Oslo, Norway. https://pdfs.semanticscholar.org/c39d/04c6f3b84c77ad379d0358bfbe7148ad4fd2.pdf.

3. Ahmad, R., and I. Alsmadi. 2021. Machine learning approaches to IoT security: A systematic literature review. Internet of Things 14: 100365. https://doi.org/10.1016/j.iot.2021.100365.

4. Akinrolabu, O., J.R.C. Nurse, A. Martin, and S. New. 2019. Cyber risk assessment in cloud provider environments: Current models and future needs. In Computers and security, vol. 87, 101600. Elsevier Ltd. https://doi.org/10.1016/j.cose.2019.101600.

5. Altman Vilandrie & Company. 2017. Are your company’s IoT devices secure? IoT Security White Paper, June 2017, 1–11. http://www.altvil.com/wp-content/uploads/2017/09/AVCo-IoT-Security-White-Paper-June-2017-vF.pdf.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3