Sökning: "Cyber Security"

Visar resultat 1 - 5 av 117 uppsatser innehållade orden Cyber Security.

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

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

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

    Sammanfattning : 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. LÄS MER

  2. 2. Dynamic Intelligence Gathering on The Internet of Things

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Andreas Leander; [2019]
    Nyckelord :;

    Sammanfattning : Society is connecting more and more devices to the internet. There are many benefits to using connected devices, such as continuous monitoring of critical systems, easy access from various locations and device data collection. The backside of all of these interconnected devices are cyber security vulnerabilities. LÄS MER

  3. 3. IoT Penetration Testing: Security analysis of a car dongle

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

    Författare :Aldin Burdzovic; Jonathan Matsson; [2019]
    Nyckelord :;

    Sammanfattning : The ambition for Internet of Things (IoT) devices of becoming a part of our everyday lives, is not only done by entering our homes but also our vehicles. The demand of attachable smart IoT products for cars is high. LÄS MER

  4. 4. Validating the Meta Attack Language using MITRE ATT&CK matrix

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

    Författare :Oscar Åberg; Edvin Sparf; [2019]
    Nyckelord :;

    Sammanfattning : When more and more devices are getting connected to each other and to the internet, the security of such devices becomes increasingly important. For large organizations with hundreds or even thousands of connected devices, it can be hard to determine the weak spots of the network in terms of security. LÄS MER

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

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Vilhelm Gustavsson; [2019]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER