Special Issue "Intelligent Security and Privacy Approaches against Cyber Threats"
Deadline for manuscript submissions: 15 November 2020.
Interests: intrusion detection; threat intelligence; privacy preservation; digital forensics; machine/deep learning; network systems; IoT; cloud
Special Issues and Collections in MDPI journals
As many organizations have moved to work from home, cyber attackers have expanded their advanced persistent threats (APT), such as phishing, spear-phishing and zero-day attacks, to exploit vulnerabilities of home networks. It is urgent to develop well-designed privacy security approaches, algorithms, protocols, standards and policies for safeguarding home and organization networks against new cyber threats.
The reason for this challenge is that the policy of Bring your Own device (BYOD) allows individuals to use various Internet of Things (IoT) devices, operating systems and tools, which are different in the settings of security and privacy. The technical and humanized practices of ‘Security-Based Organization’ and ‘Security-Based Home’ will enrich individuals' knowledge for protecting their home networks and securing their organizations’ assets. ‘Security-Based Organization’ denotes that organizations often provide security services and tools and training to employees with less effort from the employees and high visibility of security services, while ‘Security-Based Home’ denotes that individuals need new cyber practices which adapt security to home networks. The transition to work from home needs new security and privacy models that would employ Artificial Intelligence (AI), blockchain, human factor models, cognitive models. and secure big data analytics to secure home networks and safeguard organization assets.
Topics of interest include but are not limited to:
- Intelligent security practices and model-based AI against COVID-19 threats;
- Privacy-enabled human factor models against COVID-19 cyberattacks;
- AI-based Intrusion Detection Systems for discovering COVID-19 cyberattacks;
- AI-based cognitive models against COVID-19 cyberattacks;
- Privacy-driven human analytical behaviours in home networks;
- Privacy-preserving algorithms and approaches for protecting data of home networks;
- Secure Big Data analytics to analyze heterogeneous IoT and home elements;
- Secure and distributed semantic techniques for modeling home networks;
- Blockchain technologies for trusting home and organization systems and networks;
- Threat intelligence for pivoting COVID-19 cyber-attacks.
Dr. Nour Moustafa
Manuscript Submission Information
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- artificial intelligence
- intrusion detection
- human factors
- privacy preservation