مجال
التميز
|
تميز دراسي و بحثي + جائزة تفوقية
|
|
|
البحوث المنشورة
|
|
البحث (1):
|
|
عنوان البحث:
|
User characteristics that
influence judgment of social engineering attacks in social networks
|
رابط إلى البحث:
|
Click
Here
|
تاريخ النشر:
|
28/02/2018
|
موجز عن البحث:
|
Social engineering is a growing
source of information security concern. Exploits appear to evolve, with
increasing levels of sophistication, in order to target multiple victims.
Despite increased concern with this risk, there has been little research activity
focused upon social engineering in the potentially rich hunting ground of
social networks. In this setting, factors that influence users’ proficiency
in threat detection need to be understood if we are to build a profile of
susceptible users, develop suitable advice and training programs, and
generally help address this issue for those individuals most likely to become
targets of social engineering in social networks. To this end, the present
study proposes and validates a user-centric framework based on four
perspectives: socio-psychological, habitual, socio-emotional, and perceptual.
Previous research tends to rely on selected aspects of these perspectives and
has not combined them into a single model for a more cohesive understanding
of user’s susceptibility.
|
|
|
المؤتمرات العلمية:
|
|
المؤتمر (1):
|
|
عنوان المؤتمر:
|
Joint 13th CTTE and 10th CMI Conference on
Internet of Things – Business Models, Users, and Network
|
تاريخ الإنعقاد:
|
23/11/2017
|
مكان
الإنعقاد:
|
Copenhagen, Denmark
|
طبيعة المشاركة:
|
Paper presentation
|
عنوان المشاركة:
|
Personality traits and
cyber-attack victimisation: Multiple mediation analysis
|
ملخص المشاركة:
|
The current research aims to
gain insight on the role of the five personality traits (conscientiousness,
neuroticism, extraversion, agreeableness, and openness to experience) in
users’ susceptibility to cyber-attack victimisation in the context of online
social networks and investigates how different factors such as users’
competence to deal with online threats, users’ trust in other members in
social network as well as trusting the network’s service provider, users’
motivation to engage in the network, and users’ experience with cyber-crimes
mediate and control this relationship. The effect of personality traits on
user’s online risky behaviour is still a controversial topic in cyber
security research. Therefore, the present study proposes a mediation model
that includes the five personality traits and the four mediators that
together affect the user’s likelihood of falling victim to cyber-attacks. The
study conducted a scenario-based experiment with 316 participants to test the
study model and the hypotheses’ significance. Empirical results indicate that
all five personality traits, except openness, have significant indirect
effect on users’ susceptibility to cyber-attack victimisation
|
|
|
المؤتمر (2):
|
|
عنوان المؤتمر:
|
51st International Carnahan Conference on Security Technology (ICCST)
|
تاريخ الإنعقاد:
|
23/10/2017
|
مكان
الإنعقاد:
|
Madrid, Spain
|
طبيعة المشاركة:
|
Paper presentation
|
عنوان المشاركة:
|
Competence measure in social networks
|
ملخص المشاركة:
|
The current research aims to gain insight
on user competence in detecting security threats in the context of online
social networks (OSNs) and investigates the multidimensional space that
determines this user competence level. The role of user competence and its
dimensions in facilitating the detection of online threats is still a
controversial topic in the information security field. The dimensions used to
measure the concept are self-efficacy, security awareness, privacy awareness,
and cybercrime experience. The scales used to measure those factors can
determine the level of user competence in evaluating risks associated with
social network usage. The measurement scales employed here have been
validated using an item-categorization approach that, to our knowledge, has
never before been used in information security research. The result of this
study provides evidence for the suitability and validity of the user
competence dimensions and associated measurement scales.
|
|
|
جوائز التكريم:
|
|
الجائزة (1):
|
|
مسمى الجائزة:
|
Best
Poster Award (2nd Prize)
|
الجهة المانحة:
|
Edinburgh Napier University, & SICSA
|
تاريخ الجائزة:
|
10/05/2017
|
مجال التكريم:
|
Second best poster presentation
award at the International Conference on Big Data in Cybersecurity 2017.
|