Adaptive Model Generation for Intrusion Detection Systems

STLR: a novel danger theory based structural TLR algorithm

Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...

تولید خودکار الگوهای نفوذ جدید با استفاده از طبقه‌بندهای تک کلاسی و روش‌های یادگیری استقرایی

In this paper, we propose an approach for automatic generation of novel intrusion signatures. This approach can be used in the signature-based Network Intrusion Detection Systems (NIDSs) and for the automation of the process of intrusion detection in these systems. In the proposed approach, first, by using several one-class classifiers, the profile of the normal network traffic is established. ...

Adaptive Model Generation: An Architecture for Deployment of Data Mining-based Intrusion Detection Systems

Intrusion Detection System Models

In the real time Intrusion Detection system, the main confront is to detect the Anomaly Intrusion Detection system Model with ADWIN change Detector. intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid build the model was decreased and the detection. Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these The prop...

Entropy Based Fuzzy Rule Weighting for Hierarchical Intrusion Detection

Predicting different behaviors in computer networks is the subject of many data mining researches. Providing a balanced Intrusion Detection System (IDS) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. Many of the proposed methods perform well in one of the two aspects, and concentrate on a su...