mobile ad-hoc networks (manets) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. in this paper, two methods proposed for dynamic anom...

Mobile Ad-hoc Networks (MANETs) by contrast of other networks have more vulnerability because of having nature properties such as dynamic topology and no infrastructure. Therefore, a considerable challenge for these networks, is a method expansion that to be able to specify anomalies with high accuracy at network dynamic topology alternation. In this paper, two methods proposed for dynamic anom...

Network anomaly detection has become the promising aspect of intrusion detection. The existing anomaly detection models depict the detection profiles with a static way, which lack good adaptability and interoperability. Furthermore, the detection rate is low, so they are difficult to be deployed the realtime detection under the high-speed network environment. In this paper, the excellent mechan...

Security protocols flaws represent a substantial portion of security exposures of data networks. In order to evaluate security protocols against any attack, formal methods are equipped with a number of techniques. Unfortunately, formal methods are applicable for static state only, and don’t guarantee detecting all possible flaws. Therefore, formal methods should be complemented with dynamic pro...

Anomaly detection is an important problem with multiple applications, and thus has been studied for decades in various research domains. In the past decade there has been a growing interest in anomaly detection in data represented as networks, or graphs, largely because of their robust expressiveness and their natural ability to represent complex relationships. Originally, techniques focused on...

Network flows are the basic components of Internet. Considering serious consequences abnormal flows, it is crucial to provide timely anomaly detection in dynamic communication networks. To obtain accurate results networks, supervision from experts highly demanded. However, high-quality ground truth we suffer two major problems: (1) <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xl...

Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based approaches have shown promising results over shallow methods. However, they fail address two core challenges of anomaly detection graphs: the lack informative encoding unattributed nodes difficulty learning discriminat...

Due to abuse by insiders or penetration by outsiders, network systems usually suffer various security issues. In order to achieve high dependable and low cost monitoring, this paper proposes a dependable monitoring mechanism combining static threshold-based and dynamic anomaly detection. Firstly, the performance metrics of host and network are collected through different methods. In static thre...