2014•Unpublished venueRequires access

Performance improvement of deep packet inspection for Intrusion Detection

Thaksen J. Parvat, Pravin Chandra

Open publisher page 10 citations

Abstract

The development in anomaly and misuse detection in this decade is crucial as web services grow vast. Managing secure network is a challenge today. The objectives vary according to the infrastructure management and security policy. There are various ways to check stateful packet inspection and Deep Packet inspection (DPI). Identify payload traffic using DPI, Network security, Privacy and QoS. The functions of DPI are protocol detection, anti-virus, anti-malware and Intrusion Detection System (IDS). The detection engine may support by a signatures or heuristics. Most of the algorithms do training and testing, it takes approximately double time. The paper suggests a new model to improve performance of Intrusion detection system by using in/out based attributes of records. It takes a comparative less time and good accuracy than the existing classifiers.

About this research paper

What this paper is about

The development in anomaly and misuse detection in this decade is crucial as web services grow vast. Managing secure network is a challenge today. The objectives vary according to the infrastructure management and security policy. There are various ways to check stateful packet inspection and Deep Packet inspection (DPI). Identify payload traffic using DPI, Network security, Privacy and QoS. The functions of DPI are protocol detection, anti-virus, anti-malware and Intrusion Detection System (IDS). The detection engine may support by a signatures or heuristics. Most of the algorithms do training and testing, it takes approximately double time. The paper suggests a new model to improve performance of Intrusion detection system by using in/out based attributes of records. It takes a comparative less time and good accuracy than the existing classifiers.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The development in anomaly and misuse detection in this decade is crucial as web services grow vast. Managing secure network is a challenge today. The objectives vary according to the infrastructure management and security policy. There are various ways to check stateful packet inspection and Deep Packet inspection (DPI). Identify payload traffic using DPI, Network security, Privacy and QoS. The functions of DPI are protocol detection, anti-virus, anti-malware and Intrusion Detection System (IDS). The detection engine may support by a signatures or heuristics. Most of the algorithms do training and testing, it takes approximately double time. The paper suggests a new model to improve performance of Intrusion detection system by using in/out based attributes of records. It takes a comparative less time and good accuracy than the existing classifiers.

Key concepts: Deep packet inspection, Stateful firewall, Intrusion detection system, Computer science, Anomaly detection, Botnet, Network packet, Payload (computing)

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Performance improvement of deep packet inspection for Intrusion Detection — Research Paper | ScholarLens