Sökning: "överbelastningsattack"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet överbelastningsattack.
1. Distributed Denial of Service : Svenska bankers uppfattning om hotbilden av DDoS-attacker
Kandidat-uppsats, Uppsala universitet/Data- och systemvetenskapSammanfattning : As the financial sector has become increasingly digitized, its vulnerability to cyberattacks has increased. Distributed Denial of Service attacks are one of the biggest threats on the internet today and has been growing steadily for the last few years. The increase applies to both the size and frequency of the attacks. LÄS MER
2. Diskussioner om valfusk på Twitter inför riksdagsvalet 2022
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : I Sverige förekommer diskussioner om valfusk på sociala medier. Vid valet 2018 låg Valmyndighetens hemsida nere efter en överbelastningsattack, och fyra år senare sprids fortfarande teorier om att Valmyndigheten själva stängt ner sin hemsida för att påverka valresultatet (SvD, 2022). LÄS MER
3. Adagio For The Internet Of Things : IoT penetration testing and security analysis of a smart plug
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The emergence of the Internet of Things (IoT) shows us that more and more devices will be connected to the internet for all types of different purposes. One of those devices, the smart plug, have been rapidly deployed because of the ease it brings users into achieving home automation by turning their previous dumb devices smart by giving them the means of controlling the devices remotely. LÄS MER
4. Identification and Exploitation of Vulnerabilities in a Large-Scale ITSystem
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis presents the results of a vulnerability assessment and exploit development targeting a large-scale IT-system. Penetration testing and threat modelling was used to identify vulnerabilities in the system. LÄS MER
5. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic
Master-uppsats, KTH/Matematisk statistikSammanfattning : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. LÄS MER