Intrusion detection technique

Ebook Handbook of research on wireless security Part 1 includes contents: Malicious software in mobile devices, Secure service discovery, Security of mobile code, Identity management, Wireless wardriving, Intrusion and anomaly detection in wireless networks, Peer-to-peer (P2P) network security: firewall issues, Identity management for wireless service access, Privacy enhancing techniques: a survey and classification, Vulnerability analysis and defenses in wireless networks,…

448p haojiubujain06 05-09-2023 11 4   Download

After you read this chapter you should be able to: Describe various types of network attacks, and identify ways to safeguard against these attacks, including firewalls and intrusion detection software; discuss techniques to prevent unauthorized computer access and use; identify safeguards against hardware theft and vandalism;...

16p haojiubujain04 27-07-2023 5 5   Download

After you read this chapter you should be able to: Describe various types of network attacks, and identify ways to safeguard against these attacks, including firewalls and intrusion detection software; discuss techniques to prevent unauthorized computer access and use; identify safeguards against hardware theft and vandalism;...

16p haojiubujain04 27-07-2023 6 4   Download

For early detection and response to network threats, a network intrusion detection system should be executed on a data plane. However, due to high model complexity, an intrusion detection model based on advanced machine learning techniques becomes unsuitable for limited-resource switches.

15p viargus 20-02-2023 5 2   Download

The wave of the disease pandemic has created opportunities for technology to penetrate deeper and wider into all areas of life. However, it also poses great challenges for information security against sophisticated cyber-attacks. Therefore, this paper will focus on applying machine learning techniques to network intrusion detection systems (IDS). In addition, the study will build a simple IDS system and experiment with these techniques to make assessments and comparisons on multiple criteria.

9p huyetthienthan 23-11-2021 22 3   Download

In this paper, we propose a novel solution to this problem by using generative adversarial networks to generate synthesized attack data for IDS. The synthesized attacks are merged with the original data to form the augmented dataset. Three popular machine learning techniques are trained on the augmented dataset.

13p nguaconbaynhay11 16-04-2021 23 2   Download

The contents of this chapter include all of the following: IPSec security framework, IPSec security policy, ESP, combining security associations, internet key exchange, cryptographic suites used, problem of intrusion, behavior and techniques, intrusion detection (statistical & rule-based), password management.

60p koxih_kothogmih3 24-08-2020 15 3   Download

The contents of this chapter include all of the following: Problem of intrusion, behavior and techniques; intrusion detection (statistical & rule-based); password management; various malicious programs; trapdoor, logic bomb, trojan horse, zombie; viruses; worms; distributed denial of service attacks.

60p koxih_kothogmih3 24-08-2020 17 2   Download

Network intrusion detection based on anomaly detection techniques has a significant role in protecting networks and systems against harmful activities. Different metaheuristic techniques have been used for anomaly detector generation. Yet, reported literature has not studied the use of the multi-start metaheuristic method for detector generation. This paper proposes a hybrid approach for anomaly detection in large scale datasets using detectors generated based on multi-start metaheuristic method and genetic algorithms.

11p trinhthamhodang1 16-11-2019 20 0   Download

The existing intrusion detection system has gives more network overhead to MANET. Here, we analyze and find a new efficient intrusion detection system Hybrid Cryptography Technique (BECDH) for reducing network overhead and enhance the security level of MANET.

6p hongnhan878 12-04-2019 25 0   Download

An intrusion detection system (IDS) generally detects unwanted manipulations of computer systems, mainly through the Internet. (IDS), as a new defensive-security layer to the WSNs' security infrastructure; which it can detects unsafe activities and unauthorized access.

5p hongnhan878 12-04-2019 23 1   Download

This paper examines how the Network Management Systems could aid in the detection of the DDoS attacks so that the losses from these could be minimized. The classifications of DDoS Attacks and their Defense Techniques have been classified in this paper to have a close look at the DDoS Problem and its severity.

8p byphasse043256 24-03-2019 21 0   Download

This paper presents the results of an experimental study of some common intrusion detection techniques. In particular we compared the three main approaches to intrusion detection: FCC, Y-Means, and UAD. The aim of this study is to compare and find feasible clustering algorithms to achieve good performance with high efficiency while dealing with the intrusions.

6p byphasse043256 24-03-2019 34 0   Download

In this paper, we propose a novel framework for mining security events of DARPA-2009 network intrusion detection dataset. Our approach relies on finding a correlation between the security event of the dataset and the destination port that is exploited by an attacker in order to hack the network according to what security event reports. Association rule mining technique has been used in this paper to discover such correlation, since it is widely used to find strong correlations between features of massive datasets in terms of generated rules.

7p byphasse043256 23-03-2019 22 1   Download

This paper introduces flooding attack detection system based on SNMP MIB data, which selects effective MIB variables and compares some different classification algorithms based on chosen variables. Finally, the proposed system, models detection mechanism, is using the algorithm with the highest accuracy. The advantage of this system is its ability to learn. System’s detection model will be optimized after receiving the new data. While the behavior of attack changes, the system will be adapted easily.

6p byphasse043256 22-03-2019 22 0   Download

In this paper, we propose a Learnable Model for Anomaly Detection (LMAD), as an ensemble real-time intrusion detection model using incremental supervised machine learning techniques. Such techniques are utilized to detect new attacks. The proposed model is based on making use of two different machine learning techniques, namely, decision trees and attributional rules classifiers.

9p byphasse043256 21-03-2019 31 0   Download

In this research article, we have proposed a new technique that will tackle with all these different intrusion attacks. We propose a hybrid kind of approach that might be useful while facing these vicious network intrusion attacks.

6p byphasse043256 21-03-2019 28 0   Download

The main aim of this paper is to use Fuzzy cmedoids algorithm to intrusion detection. The beginning section of the paper deals with introduction to clustering in the field of intrusion detection while the later section defines how fuzzy k-medoids algorithm performs better than fuzzy c-means algorithm.

7p girlsseek 27-02-2019 17 0   Download

In this paper, the authors introduce a method for evaluating the performance of unsupervised anomaly detection techniques. The method is based on the application of internal validation metrics in clustering algorithms to anomaly detection. The experiments were conducted on a number of benchmarking datasets. The results are compared with the result of a recent proposed approach that shows that some proposed metrics are very consistent when being used to evaluate the performance of unsupervised anomaly detection algorithms.

14p thuyliebe 04-10-2018 24 0   Download

This chapter describes the functions and operations of intrusion detection systems (IDS) and intrusion prevention systems (IPS). It explains the underlying IDS and IPS technology embedded in the Cisco IOS IPS solutions. It describe the use of signatures, the need for IPS alarm monitoring, and the design considerations in deploying IPS.

66p kiepnaybinhyen_02 28-12-2015 51 5   Download