ISeCure-ISC International Journal of Information Security
Scope & Guideline
Advancing the Frontiers of Information Security
Introduction
Aims and Scopes
- Cybersecurity Threats and Attacks:
The journal addresses various forms of cybersecurity threats, including SQL injection attacks, ransomware, and side-channel attacks, providing insights into their detection and mitigation. - Cryptography and Secure Communication:
It explores innovative cryptographic techniques and protocols, including lightweight cryptographic algorithms, post-quantum cryptography, and identity-based encryption, aimed at enhancing secure communication. - Machine Learning and AI in Security:
A significant focus is on the application of machine learning and artificial intelligence, particularly in intrusion detection systems, vulnerability scanning, and attack detection mechanisms. - Access Control and Privacy:
The journal discusses advancements in access control mechanisms, privacy-preserving techniques, and secure data sharing, particularly in resource-constrained environments. - Blockchain and Smart Contracts Security:
It includes research on security aspects of blockchain technology, smart contracts, and decentralized applications, emphasizing the need for robust security measures. - Cloud Security and Data Protection:
The journal covers topics related to cloud computing security, including threats, vulnerabilities, and strategies for secure data sharing and management in cloud environments. - Internet of Things (IoT) Security:
Research on securing IoT devices and networks is a critical area, focusing on lightweight protocols and security measures suitable for resource-constrained IoT environments.
Trending and Emerging
- Artificial Intelligence and Machine Learning Applications:
There is a notable increase in research leveraging AI and machine learning for cybersecurity applications, including intrusion detection, threat modeling, and vulnerability assessment. - Post-Quantum Cryptography:
With the rise of quantum computing threats, research on post-quantum cryptographic algorithms is gaining momentum, focusing on developing secure systems that can withstand quantum attacks. - Secure Data Sharing in Cloud Environments:
Emerging themes around secure data sharing mechanisms, especially in healthcare and IoT, are becoming increasingly important as organizations migrate to cloud-based solutions. - Smart Contracts and Blockchain Security:
Research focusing on the security of smart contracts and blockchain technologies is trending, driven by the growing adoption of decentralized applications and cryptocurrencies. - Privacy-Preserving Techniques:
The development of privacy-preserving protocols, especially in the context of federated learning and data sharing, is an emerging focus area as privacy concerns escalate. - IoT and Cyber-Physical Systems Security:
As IoT devices proliferate, research on securing these devices and the broader cyber-physical systems is an emerging theme, highlighting the need for lightweight and efficient security solutions.
Declining or Waning
- Traditional Network Security Protocols:
There appears to be a waning interest in traditional network security protocols, as more focus shifts towards advanced techniques involving machine learning, AI, and adaptive security measures. - Static Analysis Techniques:
Static analysis methods for vulnerability detection are becoming less prominent compared to dynamic and semi-supervised approaches, which are seen as more effective in the current threat landscape. - Legacy Cryptographic Schemes:
Research on older cryptographic schemes and protocols is declining, as the field moves towards post-quantum cryptography and more innovative approaches that address modern security challenges. - Conventional Web Application Security:
The focus on conventional web application security measures, such as firewalls and standard encryption methods, is decreasing, with a growing emphasis on adaptive and AI-driven solutions.
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