Essays about: "Signature-based detection"
Showing result 1 - 5 of 11 essays containing the words Signature-based detection.
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1. Literature review on trustworthiness of Signature-Based and Anomaly detection in Wireless Networks
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : The internet has become an essential part of most people's daily lives in recent years, and as more devices connect to the internet, the risk of cyber threats increases dramatically. As malware becomes more sophisticated, traditional security prevention measures are becoming less effective at defending from cyber attacks. READ MORE
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2. Intrusion Detection systems : A comparison in configuration and implementation between OSSEC and Snort
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : Hackare fortsätter att bli bättre på att få otillåten tillgång till våra datorer och kan undvika de mest grundläggande intrångsskyddade system och brandväggar på en standarddator. Då numren av intrång växer varje år och kostar företag miljoner av dollar, så verkar gapet mellan attackerare och försvarare att bli större. READ MORE
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3. An Investigation of Slow HTTP DoS attacks on Intrusion Detection Systems
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Network Security Monitoring (NSM) is one of the standard methods used for protecting networks from attackers, and it has four phases: Monitoring, Detection, Forensics/Diagnosis, and Response/Recovery. One of the technologies frequently used for monitoring and detecting malicious traffic in the network is Intrusion Detection Systems (IDS). READ MORE
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4. Behavioural analysis and signature-based detection of Slowloris
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : It is important to efficiently and correctly be able to detect and classify network traffic, both legitimate and malicious. The slow rate category of DoS attacks makes this task especially hard, as the generated traffic resembles legitimate traffic. READ MORE
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5. An Evaluation of Machine Learning Approaches for Hierarchical Malware Classification
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : With an evermore growing threat of new malware that keeps growing in both number and complexity, the necessity for improvement in automatic detection and classification of malware is increasing. The signature-based approaches used by several Anti-Virus companies struggle with the increasing amount of polymorphic malware. READ MORE
