Guest Editors
Dr. Sundresan Perumal, University Sains Islam Malaysia, Malaysia.
Dr. Valliappan Raman, Anna University, India.
Dr. Ganthan A/l Narayana Samy, Universiti Teknologi Malaysia, Malaysia.
Mr. Mujahid Tabassum, University of Technology and Applied Sciences, Oman.
Summary
Selected
peer-reviewed papers from researchers in the fields of cyber security and smart
applications will be accepted for publication in this special issue. It will
focus on latest Cyber Threat Intelligence and smart application secured
techniques in recent era.
A
technology that has the potential to fundamentally alter the defensive strategy
against cyberattacks by constructing a security knowledge system and can
respond to intelligent cyberattacks before they occur is known as cyber threat
intelligence (CTI). CTI is the organization and sharing of threat information that
are driving innovation in networks and security solutions. Threat detection,
intelligent threat analysis, are some of the techniques used in CTI. Threat
intelligence, when properly deployed, may assist security officers and teams in
defending against an increasingly sophisticated threat landscape before,
during, and after an assault. In other words, by researching and understanding
their adversaries' methods and aims, businesses may develop more effective and
more comprehensive cyber-defences than they could otherwise. CTI technology has
been growing into infrastructure areas such as Internet of Things (IoT), and
smart networks in recent years, making significant contributions to
advancements in system confidentiality and integrity as well as availability,
privacy, and scalability.
Since
remote working has become more common, cyber attackers have expanded their
advanced persistent threats (APT), such as phishing, spear-phishing, and
zero-day attacks, to target vulnerabilities in personal computers and networked
devices in the house. To protect home and business networks from emerging cyber
dangers, it is critical to develop well-designed privacy security approaches,
algorithms, protocols, standards, and regulations.
• Design
and analysis of CTI system architecture
• New
operation strategy for CTI and Data representation models
• Data
sharing model and Data analysis methodology for CTI
•
Machine learning techniques and tools used for CTI
•
Automated and intelligent data collection, feature classification, and forensic
analysis
•
Integration of incident response and digital forensic
•
Implementation of cyber security and intelligence technologies
• A
methodology and system analysis for cyberattack trends
•
Intelligent security practices in Smart Applications
•
Privacy-enabled human factor models against cyberattacks
• Secure
and distributed semantic techniques for modelling smart networks
Keywords
Cyber security, Smart applications, Cyber Threat Intelligence, Secured techniques, Defensive strategy cyberattacks, Cyber threat intelligence
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