Sökning: "Intrångsdetektering"

Visar resultat 1 - 5 av 16 uppsatser innehållade ordet Intrångsdetektering.

  1. 1. Smart Attack Detection for IoT Networks

    Master-uppsats, KTH/Kommunikationssystem, CoS

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

    Sammanfattning : 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. LÄS MER

  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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  4. 3. Endpoint Intrusion Detection and Response Agents in Embedded RAN Products : A suitability and performance evaluation

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Yousef Hashem; Elmedin Zildzic; [2022]
    Nyckelord :intrusion detection; wazuh; security; edr; intrusion response;

    Sammanfattning : Endpoint detection and response is an integral part of the security of large-scale networks. Embedded hardware, such as those found at Ericsson Radio Access Network endpoints, have strict performance requirements that need to be met. LÄS MER

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  7. 5. Intrusion Detection For The Controller Pilot Data Link Communication : Detecting CPDLC attacks using machine learning

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Adam Westergren; Alexander Skoglund; [2022]
    Nyckelord :CPDLC; Air Communication; Security; Alteration Attacks; Machine Learning;

    Sammanfattning : Controller Pilot Data Link Communications (CPDLC) is a system for text-based communication between air traffic control and flight crew. It currently lacks protection against many common types of attacks, making the system vulnerable to attackers. This can have severe consequences for the safety and reliability of air travel. LÄS MER