A Review: AIS Based Intrusion Detection System

نویسندگان

  • Sandeep Singh
  • Jasvinder Pal Singh
  • Gaurav Shrivastva
چکیده

Prevention of security breaches completely using the existing security technologies is unrealistic. As a result, intrusion detection is an important component in network security. However, many current intrusion detection systems (IDSs) are signature-based systems, The signature based IDS also known as misuse detection looks for a specific signature to match, signalling an intrusion. Provided with the signatures or patterns, they can detect many or all known attack patterns, but they are of little use for as yet unknown attack methods. The rate of false positives is small to nil but these types of systems are poor at detecting new attacks, variations of known attacks or attacks that can be masked as normal behaviour. In this paper we evaluate the performance of various network based IDS technique and give a bird eye over existing IDS technique and their terminology.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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...

متن کامل

Applications of Artificial Immune System: a Review

The Biological Immune System is a remarkable information processing and self-learning system that offers stimulation to build Artificial Immune System (AIS).During the last two decades, the field of AIS is progressing slowly and steadily as a branch of Computational Intelligence (CI). At present the AIS algorithms such as Negative Selection Theory, Clonal Selection Theory, Immune Networks Theor...

متن کامل

The Dendritic Cell Algorithm for Intrusion Detection

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the Dendritic Cell Algorithm (DCA) has produced promising results in various applications. The aim of this chapter is to demonstrate the potential for the DCA as a suit...

متن کامل

Apoptosis Inspired Intrusion Detection System

Artificial Immune Systems (AIS), inspired by the human immune system, are algorithms and mechanisms which are self-adaptive and self-learning classifiers capable of recognizing and classifying by learning, long-term memory and association. Unlike other human system inspired techniques like genetic algorithms and neural networks, AIS includes a range of algorithms modeling on different immune me...

متن کامل

S A PCA - AIS Approach for Intrusion Detection

Intrusion detection is now a significant part in computer and network security. Various intrusion detection approaches are presented to secure the network, but the performance of the system is reduced. Thus, to improve the detection rates and decrease false alarm rates in intrusion detection is important. The crux of an efficient intrusion detection system is its ability to differentiate betwee...

متن کامل

Using Artificial Intelligence in Intrusion Detection Systems

Artificial Intelligence could make the use of Intrusion Detection Systems a lot easier than it is today. They could learn the preferences of the security officers and show the kind of alerts first that the officer has previously been most interested. As always, the hardest thing with learning AIs, is to make them learn the right things. AIs could learn the same things as a rule-based system by ...

متن کامل

ذخیره 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 2013