Essays about: "NIDS"

Showing result 1 - 5 of 8 essays containing the word NIDS.

  1. 1. Intrusion Detection systems : A comparison in configuration and implementation between OSSEC and Snort

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Peter Stegeby; [2023]
    Keywords : Intrusion detection; HIDS; NIDS; Signature-based; Linux; Windows; Sniffing packets; Upptäcka intrång; HIDS; NIDS; Signatur-baserad; Linux; Windows; Paketsniffing.;

    Abstract : Hackare fortsätter att bli bättre på att få otillåten tillgång till våra datorer och kan undvika de mest grundläggande intrångsskyddade system och brandväggar på en standarddator. Då numren av intrång växer varje år och kostar företag miljoner av dollar, så verkar gapet mellan attackerare och försvarare att bli större. READ MORE

  3. 2. Methods for network intrusion detection : Evaluating rule-based methods and machine learning models on the CIC-IDS2017 dataset

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Henrik Lindstedt; [2022]
    Keywords : MLP; random forest; CIC-IDS2017; Snort; Intrusion Detection System;

    Abstract : Network intrusion detection is a task aimed to identify malicious network traffic. Malicious networktraffic is generated when a perpetrator attacks a network or internet-connected device with the intent todisrupt, steal or destroy a service or information. READ MORE

  4. 3. A Performance Analysis of Intrusion Detection with Snort and Security Information Management

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Christian Thorarensen; [2021]
    Keywords : Snort; Snort 3; PulledPork; IDS; Open Distro for Elasticsearch; ODFE; SIM; SIEM; ET Open; D-ITG;

    Abstract : Network intrusion detection systems (NIDSs) are a major component in cybersecurity and can be implemented with open-source software. Active communities and researchers continue to improve projects and rulesets used for detecting threats to keep up with the rapid development of the internet. READ MORE

  5. 4. Machine Learning for a Network-based Intrusion Detection System : An application using Zeek and the CICIDS2017 dataset

    University essay from KTH/Hälsoinformatik och logistik

    Author : Vilhelm Gustavsson; [2019]
    Keywords : Machine Learning; Flow-based traffic characterization; Intrusion Detection System IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn; Maskininlärning; Flödesbaserad trafik-karaktärisering; Intrångsdetekteringssystem IDS ; Zeek; Bro; CICIDS2017; Scikit-Learn;

    Abstract : Cyber security is an emerging field in the IT-sector. As more devices are connected to the internet, the attack surface for hackers is steadily increasing. Network-based Intrusion Detection Systems (NIDS) can be used to detect malicious traffic in networks and Machine Learning is an up and coming approach for improving the detection rate. READ MORE

  6. 5. Improving the precision of an Intrusion Detection System using Indicators of Compromise : - a proof of concept -

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Gisela Lejonqvist; Oskar Larsson; [2018]
    Keywords : Intrusion Detection System; Indicator Of Compromise; False Positives; Snort;

    Abstract : The goal of this research is to improve an IDS so that the percentage of true positives is high, an organisation can cut time and cost and use its resources in a more optimal way. This research goal was to prove that the precision of an intrusion detection system (IDS), in terms of producing lower rate of false positives or higher rate of true alerts, can be achieved by parsing indicators of compromise (IOC) to gather information, that combined with system-specific knowledge will be a solid base for manual fine-tuning of IDS-rules. READ MORE