Internet attacks and intrusion detection system

Abstract

Purpose The paper addresses various cyber threats and their effects on the internet. A review of the literature on intrusion detection systems (IDSs) as a means of mitigating internet attacks is presented, and gaps in the research are identified. The purpose of this paper is to identify the limitations of the current research and presents future directions for intrusion/malware detection research. Design/methodology/approach The paper presents a review of the research literature on IDSs, prior to identifying research gaps and limitations and suggesting future directions. Findings The popularity of the internet makes it vulnerable against various cyber-attacks. Ongoing research on intrusion detection methods aims to overcome the limitations of earlier approaches to internet security. However, findings from the literature review indicate a number of different limitations of existing techniques: poor accuracy, high detection time, and low flexibility in detecting zero-day attacks. Originality/value This paper provides a review of major issues in intrusion detection approaches. On the basis of a systematic and detailed review of the literature, various research limitations are discovered. Clear and concise directions for future research are provided.

A Novel Intrusion Detection System Based on Neural Networks

“…Anomaly detection techniques with high accuracy, less false alarms and lower detection time are required. IDSs specifically for wireless networks and large-scale computer networks have also gained increased research attention [3].…”

Ensemble Classifiers for Network Intrusion Detection Using a Novel Network Attack Dataset

“…Cyberattacks have become more widespread as intruders take advantage of system vulnerabilities for intellectual property theft, financial gain, or even the destruction of entire network infrastructures [1]. In the past few months, the Federal Bureau of Investigation released a high-impact cybersecurity warning in response to the increasing number of attacks on government targets.…”

Knowledgeable Handling of Impreciseness in Feature Subset Selection using Intuitionistic Fuzzy Mutual Information of Intrusion Detection System

“…With the advancement in network and its related applications, serious security issues have arisen [1]. Cyber security plays an important role in protecting computers, data and networks from intruders [2]. It comprised of antivirus software, firewall and Intrusion Detection System (IDS).…”