Managing Cybersecurity: Digital Footprint Threats

被引:0
作者
Ketipov, Rumen [1 ]
Schnalle, Roman [2 ]
Doukovska, Lyubka [1 ]
Dehez, Dustin [3 ]
机构
[1] Bulgarian Acad Sci, Inst Informat & Commun Technol, Acad G Bonchev St,Bl 2, Sofia 1113, Bulgaria
[2] Bielefeld Univ, Univ Str 25, D-33615 Bielefeld, Germany
[3] Secori Advisors GmbH, Reuterweg 49, D-60323 Frankfurt, Germany
关键词
Information security management; Cybersecurity; Personality; Digital footprints; Human factor; PERSONALITY; MANIFESTATIONS; PREDICTION;
D O I
10.2478/cait-2024-0030
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Managing cybersecurity and protecting data assets remain top priorities for businesses. Despite this, numerous data breaches persist due to malicious human actions, resulting in significant financial setbacks. However, many cybersecurity strategies overlook invisible or indirect threats within their scope, such as digital footprints. This paper examines the relationship between personality traits and user behavior concerning cybersecurity. The study suggests that human personality can be predicted using innovative techniques based on the digital hints individuals leave on the internet. Consequently, this information can be exploited for malicious actions against entities. As proposed, an effective strategy for improving behaviors and cultivating a security-oriented culture involves continually identifying relevant sources of cyber risks and implementing continuous awareness initiatives.
引用
收藏
页码:151 / 162
页数:12
相关论文
共 33 条
  • [1] [Anonymous], 2011, P 2011 C HUM FACT CO, DOI DOI 10.1145/1979742.1979614
  • [2] The prediction of Honesty-Humility-related criteria by the HEXACO and Five-Factor Models of personality
    Ashton, Michael C.
    Lee, Kibeom
    [J]. JOURNAL OF RESEARCH IN PERSONALITY, 2008, 42 (05) : 1216 - 1228
  • [3] Bayram N., 2017, International Journal of Recent Advances in Organizational Behaviour and Decision Sciences, V3, P905
  • [4] Bologna C., 2018, P 1 WORKSH EM PERS P
  • [5] Predicting user behavior in electronic markets based on personality-mining in large online social networks
    Buettner, Ricardo
    [J]. ELECTRONIC MARKETS, 2017, 27 (03) : 247 - 265
  • [6] Buttner R., 2017, Personal Quarterly, P22
  • [7] CogniFit, 2024, Theories of Personalities: Everything You Need to Know
  • [8] Costa P. T., 1992, REVISED NEO PERSONAL
  • [9] Donthu N, 1996, J ADVERTISING RES, V36, P69
  • [10] Edwards M., 2024, ISO 27001:2022 Annex a Explained