Internet Intelligence for Cybersecurity

Dear Colleagues,

(1) Introduction, including scientific background and highlighting the importance of this research area.

In the contemporary digital era, the rapid evolution of the Internet has revolutionized the way we live, work, and interact. Internet intelligence, which refers to the integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics into the Internet, has emerged as a pivotal force in enhancing the functionality, efficiency, and adaptability of Internet-based systems. However, this digital transformation also brings with it significant challenges related to cybersecurity. As the Internet becomes more intelligent, it also becomes a more attractive target for malicious activity, including cyberattacks, data breaches, and privacy violations. The interplay between Internet intelligence and cybersecurity is thus a critical research area that demands comprehensive exploration. This field is not only scientifically intriguing but also of paramount importance for safeguarding the digital infrastructure that underpins modern society. The scientific background of this research area is rooted in the convergence of multiple disciplines, including computer science, information technology, mathematics, and engineering.

The development of intelligent algorithms and systems has enabled the Internet to process vast amounts of data and make informed decisions autonomously. However, these advancements have also introduced new vulnerabilities that can be exploited by cybercriminals. The importance of this research area lies in its potential to address these vulnerabilities, develop robust cybersecurity measures, and ensure the secure and reliable operation of intelligent Internet systems. It is essential to understand the dynamics between intelligence and security in the context of the Internet to foster innovation while mitigating risks.

(2) Aim of the Special issue and how the subject relates to the journal scope.

The aim of this Special Issue on Internet intelligence and cybersecurity is to provide a comprehensive platform for researchers, practitioners, and industry experts to present their latest findings, innovations, and practical experiences in this rapidly evolving field. By focusing on the intersection of Internet intelligence and cybersecurity, this Special Issue seeks to highlight cutting-edge research that addresses the challenges and opportunities associated with the intelligent and secure use of the Internet.

This Special Issue is closely related to the scope of Big Data and Cognitive Computing, which emphasizes the integration of advanced technologies and their use in solving real-world problems. The journal's focus on innovation, interdisciplinary research, and practical solutions aligns perfectly with the objectives of this Special Issue. By bringing together contributions from diverse fields, we aim to foster a collaborative environment that promotes the development of novel approaches and strategies for enhancing Internet intelligence and cybersecurity.

(3) Suggest themes.

In this Special Issue, original research articles and reviews are welcome. Their research areas may include (but are not limited to) the following:

• Artificial intelligence and machine learning in cybersecurity:

• AI-based threat detection and prevention;
• Machine learning algorithms for anomaly detection;
• Intelligent systems for cybersecurity incident response.

• Data privacy and security in the internet age:

• Privacy-preserving data analytics;
• Secure data sharing and collaboration;
• Legal and ethical considerations in data security.

• Blockchain technology for secure internet transactions:

• Blockchain-based authentication and authorization;
• Decentralized security models;
• Smart contracts and their security implications.

• Multimedia security and internet intelligence:

• Secure multimedia content distribution;
• AI-driven multimedia forensics;
• Privacy protection in multimedia applications.

• Emerging threats and countermeasures in Internet intelligence:

• Advanced persistent threats (APTs) and their mitigation;
• Zero-day vulnerabilities and patch management;
• Cybersecurity in the context of the Internet of Things (IoT).

• Human-centric aspects of Internet intelligence and cybersecurity:

• User behavior analysis for security;
• Social engineering attacks and defenses;
• Cybersecurity awareness and training programs.

• Steganography and steganalysis:

• Advanced steganographic techniques for data hiding;
• Detection and analysis of hidden information (steganalysis);
• Applications of steganography in secure communication.

• Information hiding and digital watermarking:

• Techniques for information hiding in digital media;
• Robust and imperceptible watermarking algorithms;
• Forensic applications of digital watermarking.

• Case studies and practical applications:

• Real-world applications of Internet intelligence and cybersecurity;
• Industry experiences and lessons learned;
• Best practices for implementing secure intelligent systems.

I/We look forward to receiving your contributions.

Prof. Dr. Hui Tian
Guest Editor

Manuscript Submission Information

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• artificial intelligence
• machine learning
• cybersecurity
• data privacy
• blockchain technology
• steganography
• steganalysis
• information hiding
• digital watermarking
• multimedia security