Intrusion detection: current capabilities and future directions

2005 ◽  
Author(s):  
K. Levitt
Keyword(s):  
Intrusion Detection ◽  
Future Directions

scholarly journals The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection: A Review

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Gulshan Kumar ◽  
Krishan Kumar
Keyword(s):  
Artificial Intelligence ◽  
Intrusion Detection ◽  
Supervised Learning ◽  
Ensemble Learning ◽  
Classification Performance ◽  
Intrusion Detection Systems ◽  
Future Directions ◽  
Comprehensive Review ◽  
Detection Systems ◽  
Combination Methods

In supervised learning-based classification, ensembles have been successfully employed to different application domains. In the literature, many researchers have proposed different ensembles by considering different combination methods, training datasets, base classifiers, and many other factors. Artificial-intelligence-(AI-) based techniques play prominent role in development of ensemble for intrusion detection (ID) and have many benefits over other techniques. However, there is no comprehensive review of ensembles in general and AI-based ensembles for ID to examine and understand their current research status to solve the ID problem. Here, an updated review of ensembles and their taxonomies has been presented in general. The paper also presents the updated review of various AI-based ensembles for ID (in particular) during last decade. The related studies of AI-based ensembles are compared by set of evaluation metrics driven from (1) architecture & approach followed; (2) different methods utilized in different phases of ensemble learning; (3) other measures used to evaluate classification performance of the ensembles. The paper also provides the future directions of the research in this area. The paper will help the better understanding of different directions in which research of ensembles has been done in general and specifically: field of intrusion detection systems (IDSs).

Host–Based Intrusion Detection Systems

2014 ◽  
pp. 184-213
Author(s):  
Vít Bukač ◽  
Vashek Matyáš
Keyword(s):  
Intrusion Detection ◽  
Detection Method ◽  
State Of The Art ◽  
Research Trends ◽  
The State ◽  
Intrusion Detection Systems ◽  
Future Directions ◽  
Detection Systems ◽  
Research Findings ◽  
Art Research

In this chapter, the reader explores both the founding ideas and the state-of-the-art research on host-based intrusion detection systems. HIDSs are categorized by their intrusion detection method. Each category is thoroughly investigated, and its limitations and benefits are discussed. Seminal research findings and ideas are presented and supplied with comments. Separate sections are devoted to the protection against tampering and to the HIDS evasion techniques that are employed by attackers. Existing research trends are highlighted, and possible future directions are suggested.

scholarly journals From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions

Algorithms ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 39 ◽  
Author(s):  
Shahid Anwar ◽  
Jasni Mohamad Zain ◽  
Mohamad Fadli Zolkipli ◽  
Zakira Inayat ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Intrusion Detection ◽  
Future Directions ◽  
Intrusion Response ◽  
Response System ◽  
Intrusion Response System

Internet attacks and intrusion detection system

2017 ◽  
Vol 41 (2) ◽  
pp. 171-184 ◽  
Author(s):  
Raman Singh ◽  
Harish Kumar ◽  
Ravinder Kumar Singla ◽  
Ramachandran Ramkumar Ketti
Keyword(s):  
Intrusion Detection ◽  
Detection System ◽  
Internet Security ◽  
Detection Methods ◽  
Future Research ◽  
The Internet ◽  
Review Of The Literature ◽  
Future Directions ◽  
Ongoing Research ◽  
Content Type

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.

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