Part
of: 2024 IEEE Big Data Conference (IEEE BigData 2024)
— (Washington DC, USA) – Dec. 15-18, 2024
We
are pleased to unveil the second edition following the successful launch of the
first edition.
In
today's world, cyber intrusions are happening at an unprecedented speed, with
both attackers and defenders utilizing advanced techniques in artificial
intelligence (AI) and machine learning (ML). The vulnerability of IoT systems
is particularly noteworthy, and the sheer volume of data generated by these
activities makes it challenging for the human workforce to monitor and detect
intrusions effectively. Therefore, it is crucial to automate intrusion
detection and monitoring in IoT to keep pace with the rapid advancements in
technology. We propose hosting research presentations from both academia and
industry focusing on the application of ML and AI in securing IoT systems.
Securing IoT is a
specialized field within cybersecurity that requires expertise in IoT-specific
operating systems and network capabilities. General cybersecurity professionals
working in Security Operation Centers may not have the necessary knowledge and
skills to identify IoT-related attacks. Therefore, it is essential to bring
together experts in this area to share ideas and collaborate, thereby fostering
a community of research and practice. Our aim is to create a platform where
researchers and practitioners can come together to address the unique
challenges associated with securing IoT.
Submit your
paper
Cristian Bucur holds a
master degree in information security from Lulea University of Technology
with a large expertise in
the area of Cybersecurity in roles such as: Cybersecurity Expert, Security
Architect, Enterprise Architect.
Cristian Bucur works
currently in the Cybersecurity area in Montreal, Canada, and he is a PhD
Candidate at Polytechnique de Montreal
in the area of
Cybersecurity/Computer Science. He’s also a member of the European Union Agency
for Cybersecurity expert list.
Professor Cristian Balan
is a cybersecurity lecturer at SUNY Plattsburgh and the coordinator for the
Center of Cybersecurity and Technology.
He has taught in both the
SBE and Education departments in technology. Recent courses are
MIS275, MIS418 Cybercrime, MIS440 Managing
Information Systems,
MIS419 Information
Assurance and Network Controls, and MIS420 Data Privacy.
Professor Balan graduated
from SUNY at Plattsburgh in 1999 with a B.A. in Mathematics, in 2001 with an
M.S. in Teaching Secondary Mathematics and in 2003 with a C.A.S. in School
Leadership.
He has managed information
systems for large organizations to include school districts, Department of
Defense and state and local government departments.
Mr Balan’s research interests include remote digital
forensics, intrusion detection and incident response.
Stéphane Gagnon
Professor Stéphane Gagnon
is Associate Professor in Business Technology Management (BTM) at the
Université du Québec en Outaouais (UQO), based in
Gatineau, National Capital Region.
He obtained a Ph.D. in
Business Administration, specialized in Technology Management and Strategy,
from the Université du Québec à Montréal (1994-2001), a M.A. in Public
Administration from Carleton University (1991-1994),
and a B. Soc. Sc. In
Economics & International and Comparative Politics from University of
Ottawa (1988-1991).
His research deals with
digital transformation and big data analytics, applied to the healthcare,
energy, and financial services industries, as well as public administration.
Contact