TY - JOUR
T1 - A review of threat modelling approaches for APT-style attacks
AU - Tatam, Matt Anthony
AU - Shanmugam, Bharanidharan
AU - Azam, Sami
AU - Krishnan, Kannoorpatti
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/1
Y1 - 2021/1
N2 - Threats are potential events, intentional or not, that compromise the confidentiality, integrity, and/or availability of information systems. Defending against threats and attacks requires actionable threat intelligence. Using this intelligence to minimise risk, requires a systematic methodology or framework that recognises every possible threat scenario. This can be done with Threat Modelling (TM), which assists with identifying, understanding and providing visibility of threats affecting an organisation. The focus of this study is to determine TM limitations, strengths, and any perceivable gaps. It has also focused on identifying any possible enhancements that may improve TM performance and efficiency when modelling sophisticated attacks such as Advanced Persistent Threats (APT).
AB - Threats are potential events, intentional or not, that compromise the confidentiality, integrity, and/or availability of information systems. Defending against threats and attacks requires actionable threat intelligence. Using this intelligence to minimise risk, requires a systematic methodology or framework that recognises every possible threat scenario. This can be done with Threat Modelling (TM), which assists with identifying, understanding and providing visibility of threats affecting an organisation. The focus of this study is to determine TM limitations, strengths, and any perceivable gaps. It has also focused on identifying any possible enhancements that may improve TM performance and efficiency when modelling sophisticated attacks such as Advanced Persistent Threats (APT).
KW - Advanced persistent threats
KW - Cyber threat model
KW - Intelligence
KW - Threat modelling
UR - http://www.scopus.com/inward/record.url?scp=85100154817&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2021.e05969
DO - 10.1016/j.heliyon.2021.e05969
M3 - Review article
C2 - 33506133
AN - SCOPUS:85100154817
SN - 2405-8440
VL - 7
SP - 1
EP - 19
JO - Heliyon
JF - Heliyon
IS - 1
M1 - e05969
ER -