Sökning: "Intrusion Detection System IDS"
Visar resultat 21 - 25 av 46 uppsatser innehållade orden Intrusion Detection System IDS.
21. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
22. Machine Learning for a Network-based Intrusion Detection System : An application using Zeek and the CICIDS2017 dataset
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : 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
23. Secure Self-Reconfiguring Services to Mitigate DoS Attacks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Protecting web services from cyber attacks is a complex problem requiring many layers of defense and mitigation strategies. Out of the diverse range of attacks, denial of service (DoS) attacks on the business logic – or the domain – are poorly studied and no widely accepted general-purpose software product to prevent these attacks exists today. LÄS MER
24. Security Threats and Countermeasures for Connected Vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the rapid development of connected vehicles, automotive security has become one of the most important topics. To study how to protect the security of vehicle communication, we analyze potential threats for connected vehicles and discuss countermeasures to mitigate these threats. LÄS MER
25. Lightweight Portable Intrusion Detection System for Auditing Applications : Implementation and evaluation of a lightweight portable intrusion detection system using Raspberry Pi and Wi-Fi Pineapple
Master-uppsats, Linköpings universitet/Databas och informationsteknikSammanfattning : The goal of this thesis was to develop, deploy and evaluate a lightweight portable intrusion detection system (LPIDS) over wireless networks. The LPIDS was developed by adopting two different string matching algorithms: Aho-Corasick algorithm and Knuth–Morris–Pratt algorithm (KMP). LÄS MER