Approaches to Cyber Attacks and Malware Detection
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 627
Special Issue Editors
Interests: data mining; cybersecurity; malware detection; threat modeling; threat intelligence; network traffic analysis
Interests: data mining; video processing; motion detection; biometrics; deep learning; computer vision
Special Issue Information
Dear Colleagues,
The detection of cyberattacks and malware has been a pressing topic in recent years. Although techniques and procedures have been developed to mitigate various threats, attack vectors, exploitation surfaces, and malicious anomalies in different information systems, malicious actors have refined their methods to evade detection and eradication. Therefore, in this ongoing race between detection and response, it is crucial to refine the scope of analysis, modeling, mitigation, and remediation across the vast array of attacks and malware strains by proposing innovative and effective solutions. This Special Issue focuses on the study of algorithms, tactics, procedures, workflows, tools, and technologies that can combat cyberattacks and malware. Topics of interest include, but are not limited to, the following:
AI and ML for cyberattack and malware detection:
- Zero-day exploitation, detection, and remediation;
- Behavioral analysis for threat modeling for cyberattack and malware strains;
- Threat hunting for cyberattack and malware;
- Adversarial simulation for cyberattack and malware;
- Blockchain-based solutions for cyberattack and malware prevention;
- Automated incident response for cyberattack and malware;
- Malware and cyberattack countermeasures in cloud and IoT environments;
- Advanced persistent threat recognition, analysis, and mitigation.
Dr. Aldo Hernandez-Suarez
Dr. Jose Portillo-Portillo
Prof. Dr. Gabriel Sanchez-Perez
Guest Editors
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Keywords
- cybersecurity
- malware detection
- threat intelligence
- network traffic analysis
- behavioral analytics
- advanced persistent threats
- threat modeling
- zero-day exploitation
- automated incident response
- cloud security
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