Vulnerability Analysis, Intrusion Detection and Privacy Preservation of Modern Communication Systems

The second issue of the fourth volume of the EAI transactions on Security and Safety provides an insight to methods and techniques that improve security, safety and privacy of modern systems, such as Software-Defined Systems (SDNs), Cognitive radio networks (CRNs) or 802.11wireless networks. The articles that constitute this issue can be divided into two main classes. The first one consists of novel methods that can strengthen either intrusion detection or encryption capabilities of the system under consideration, while the second one is based on the analysis of collected data from different wireless access points in order to reveal vulnerabilities and security level of the providers. In particular, in the area of novel security and privacy methods the issue presents (i) a deep learning based DDoS detection system for multi-vector attack detection in an SDN environment, (ii) an adaptive parameter and component selection mechanism for online anomaly detection problem in CRNs (iii) a compact homomorphic symmetric encryption scheme based on learning with errors (LWE) principle. In the area of the data collection and analysis study, the issue presents an overview of the security level of wireless networks in Romania.