Recent Advances in Security and Privacy for Future Intelligent Networks
摘要截稿:
全文截稿: 2019-03-01
影响因子: 8.808
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 计算机:硬件 - 1区
• 小类 : 计算机:信息系统 - 1区
• 小类 : 工程:电子与电气 - 2区
• 小类 : 电信学 - 2区
Overview
Recent booming advancements in networking techniques has led to an evolvement toward future intelligent networks (FINs). This trend takes place under a circumstance in which a great number of devices are connected for specific purposes by a variety of novel techniques, e.g. Internet-of-Things, cloud computing, edge/fog computing, big data, etc. In FINs, we can envision the benefits by integrating intelligence into networks, e.g. providing an efficient way to automatically generate and optimize policies based on service requirements, freeing network operators from taxing management and configuration burdens, and enabling self-learning from real-time network data.
Contemporarily, these emerging techniques are still at its exploring stage, leaving many privacy and security challenges unaddressed. Existing researchers have already uncovered a great amount of attacks and threats. The situation will be more complicated when incorporating artificial intelligence (AI) techniques into networking, as the AI techniques are facing unknown or new types of privacy and security threats. On the whole, more studies and investigations on strengthening security and enhancing efficiency performance in FINs are needed.
Although there are existing works that address the security and privacy challenges in cyber space, this Special Issue (SI) focuses on recent attempts to design intelligent approaches that tackle security and privacy challenges arising in a variety of emerging networks, or to exploit vulnerability and security enhancement for intelligent components already integrated in networks. The purpose of this SI is to provide the researchers from both academia and industry an excellent venue to discuss technical challenges and disseminate their recent advances related to security and privacy techniques for FINs. Topics of interest include, but are not limited to:
Secure architectures for future Internet (e.g., Software-Defined Networks)
Security of emerging networks (e.g., Internet of Things)
Security and privacy of cloud computing
Security and privacy of edge/fog computing
Security and privacy of blockchains
Security enhancement in network protocols
Designs, implementation, and deployments of security policies
Privacy and anonymity in communication networks
Intrusion/anomaly detection and prevention in networks
Security and privacy of network algorithms based on machine learning and AI