Essays about: "Intrångsdetekteringssystem"

Showing result 1 - 5 of 9 essays containing the word Intrångsdetekteringssystem.

  1. 1. Smart Attack Detection for IoT Networks

    University essay from KTH/Kommunikationssystem, CoS

    Author : Yang Yang; [2022]
    Keywords : Internet of Things; Security; Machine learning; Intrusion detection; Sakernas Internet; Säkerhet; Maskininlärning; Intrångsdetektering;

    Abstract : The Internet of Things (IoT) is becoming related to more and more people's daily life. It is a network that consists of resource-constrained devices. Nowadays, the application of IoT like smart wearable devices is very common. Due to the wide and important application of IoT, its security also attracts research attention without any doubt. READ MORE

  3. 2. The Resilience of Deep Learning Intrusion Detection Systems for Automotive Networks : The effect of adversarial samples and transferability on Deep Learning Intrusion Detection Systems for Controller Area Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ivo Zenden; [2022]
    Keywords : Vehicle Security; Deep Learning; Controller Area Network; Intrusion Detection System; Adversarial Samples; Fordonssäkerhet; Deep Learning; Controller Area Network; Intrusion Detection System; kontradiktoriska prover;

    Abstract : This thesis will cover the topic of cyber security in vehicles. Current vehicles contain many computers which communicate over a controller area network. This network has many vulnerabilities which can be leveraged by attackers. To combat these attackers, intrusion detection systems have been implemented. READ MORE

  4. 3. BERT Language Modelling on Network Log Data for Generalized Unsupervised Intrusion Detection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fynn van Westen; [2022]
    Keywords : BERT; Language-Modelling; Cyber-Security; Intrusion-Detection; NLP; Anomaly-Detection; One-Class-Classification; BERT; språkmodellering; cybersäkerhet; intrångsdetektering; NLP; anomalidetektering; en-klass-klassificering;

    Abstract : Intrusion detection is the most prominent topic of modern computer network security. The potential attack surface is growing exponentially every year. To cope with the amounts of data which accrue, automated methods for detecting undesired network activity are the only feasible solution. READ MORE

  5. 4. Digital Twin-based Intrusion Detection for Industrial Control Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Seba Varghese; [2021]
    Keywords : Digital Twin; Intrusion Detection Systems; Industry 4.0; Industrial Control Systems; Machine Learning; Stacked Ensemble Model; Digital tvilling; Intrångsdetekteringssystem; Industri 4.0; Industriella styrsystem; Maskininlärning; Staplad ensemblemodell;

    Abstract : Digital twins for industrial control systems have gained significant interest over recent years. This attention is mainly because of the advanced capabilities offered by digital twins in the areas of simulation, optimization, and predictive maintenance. READ MORE

  6. 5. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sai Shyamsunder Kamat; [2019]
    Keywords : anomaly; cyber security; evaluation; machine learning; radial basis function; random forest classifier; supervised learning; anomali; cybersäkerhet; utvärdering; maskininlärning; radialbaserad funktion; slumpmässig skogsklassificering; övervakad inlärning;

    Abstract : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. READ MORE