Towards a new Immunity-Inspired Intrusion Detection Framework
نویسندگان
چکیده
In this document we introduce a novel framework for behaviour based Network Intrusion Detection Systems (NIDS). Its main goal is the application of theoretical immunological concepts to provide adaptability to the normality of the network behaviour, based on memory and learning from previous attacks. We present some important principles and concepts relevant to the description and categorization of Intrusion Detection Systems (IDS), and then describe the main benefits that can be obtained from an Artificial Immune System (AIS) approach for IDS. We conclude by proposing a novel extension to the Common Intrusion Detection Framework (CIDF) capable of accommodating our initial goals.
منابع مشابه
A Hybrid Framework for Building an Efficient Incremental Intrusion Detection System
In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...
متن کاملAnalysis of Human Immune System Inspired Intrusion Detection System
Artificial Immune Systems (AIS) are algorithms inspired by the human immune system. The human immune system is a robust, decentralized, error tolerant and adaptive system. Such properties are highly desirable for the development of novel computer systems. Unlike some other bio-inspired techniques, such as genetic algorithms and neural networks, the field of AIS encompasses a spectrum of algorit...
متن کاملIntrusion Detection based on a Novel Hybrid Learning Approach
Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...
متن کاملA New Approach on Intrusion Detection Based On Avidity Model Clonal Selection
To make an immune-inspired network intrusion detection system (IDS) effective, this paper proposes a new framework, which includes our avidity-model based clonal selection (AMCS) algorithm as core element. The AMCS algorithm uses an improved representation for antigens (corresponding to network access patterns) and detectors (corresponding to detection rules). In particular, a bio-inspired tech...
متن کاملA New Intrusion Detection System to deal with Black Hole Attacks in Mobile Ad Hoc Networks
By extending wireless networks and because of their different nature, some attacks appear in these networks which did not exist in wired networks. Security is a serious challenge for actual implementation in wireless networks. Due to lack of the fixed infrastructure and also because of security holes in routing protocols in mobile ad hoc networks, these networks are not protected against attack...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006