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Quantifying the Return of Security Investments for Technology Startups

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021612" target="_blank" >RIV/62690094:18450/24:50021612 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9077" target="_blank" >https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9077</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21123/bsj.2023.9077" target="_blank" >10.21123/bsj.2023.9077</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Quantifying the Return of Security Investments for Technology Startups

  • Popis výsledku v původním jazyce

    Technology startups are critical to the advancement of digital initiatives in many countries undergoing smart nation agenda. Technology startups are thus vendors and suppliers of services to large organizations such as the government sector, multi-national corporations and financial institutions. As such, startups are fast becoming attack vectors for malicious perpetrators to gain entry via backdoors to large organizations. However, startups remain prudent in their cyber security spending as their north star is revenue generation by delivering their services and minimum viable product (MVP) to their customers. This study proposes an enhanced Return on Security Investment (ROSI) which helps technology startups calculate the return on security investment and justify their budget of cyber security spending. Though there are existing models to calculate the return of investments allocated to cyber security expenditure, they are rather complex and do not give management clarity in terms of the monetary value for cyber security spending. Furthermore, the existing models do not cater to the dynamics and nuances of technology startups. The enhanced model also provides technology startups the ability to appropriately adjust their cyber security investments based on the calculations of the Minimum (Min) and Maximum (Max) ROSI values. The proposed and enhanced ROSI model has been validated by 5 cyber security experts who agreed on the importance and necessity of the model to be applied to technology startups. The results of the case study on a FinTech startup enable the calculation of the Min and Max ROSI to justify the return on security investments and provide the startup with the ability to adjust the cyber security spending accordingly. © 2022 The Author(s). Published by College of Science for Women, University of Baghdad.

  • Název v anglickém jazyce

    Quantifying the Return of Security Investments for Technology Startups

  • Popis výsledku anglicky

    Technology startups are critical to the advancement of digital initiatives in many countries undergoing smart nation agenda. Technology startups are thus vendors and suppliers of services to large organizations such as the government sector, multi-national corporations and financial institutions. As such, startups are fast becoming attack vectors for malicious perpetrators to gain entry via backdoors to large organizations. However, startups remain prudent in their cyber security spending as their north star is revenue generation by delivering their services and minimum viable product (MVP) to their customers. This study proposes an enhanced Return on Security Investment (ROSI) which helps technology startups calculate the return on security investment and justify their budget of cyber security spending. Though there are existing models to calculate the return of investments allocated to cyber security expenditure, they are rather complex and do not give management clarity in terms of the monetary value for cyber security spending. Furthermore, the existing models do not cater to the dynamics and nuances of technology startups. The enhanced model also provides technology startups the ability to appropriately adjust their cyber security investments based on the calculations of the Minimum (Min) and Maximum (Max) ROSI values. The proposed and enhanced ROSI model has been validated by 5 cyber security experts who agreed on the importance and necessity of the model to be applied to technology startups. The results of the case study on a FinTech startup enable the calculation of the Min and Max ROSI to justify the return on security investments and provide the startup with the ability to adjust the cyber security spending accordingly. © 2022 The Author(s). Published by College of Science for Women, University of Baghdad.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Baghdad Science Journal

  • ISSN

    2078-8665

  • e-ISSN

    2411-7986

  • Svazek periodika

    21

  • Číslo periodika v rámci svazku

    7

  • Stát vydavatele periodika

    IQ - Irácká republika

  • Počet stran výsledku

    13

  • Strana od-do

    2449-2461

  • Kód UT WoS článku

    001278116000023

  • EID výsledku v databázi Scopus

    2-s2.0-85199895859