Essays about: "State-of-the-art IDS"
Showing result 1 - 5 of 9 essays containing the words State-of-the-art IDS.
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1. Research of methods and algorithms of insider detection in a computer network using machine learning technologies
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Security Information and Event Management (SIEM) systems today are sophisticated sets of software packages combined with hardware platforms, which can perform real-time analysis on security events and can respond to them before potential damage due to the actions of intruders. READ MORE
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2. Combining Anomaly- and Signaturebased Algorithms for IntrusionDetection in CAN-bus : A suggested approach for building precise and adaptiveintrusion detection systems to controller area networks
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : With the digitalization and the ever more computerization of personal vehicles, new attack surfaces are introduced, challenging the security of the in-vehicle network. There is never such a thing as fully securing any computer system, nor learning all the methods of attack in order to prevent a break-in into a system. READ MORE
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3. Analysis of stellar spectra with machine learning
University essay from Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Researchers in the field of Galactic Archaeology have entered the era of industrial revolution. Upcoming surveys are planning on observing tens of millions of stars and high precision and accuracy must be ensured when deriving their stellar parameters and elemental abundances. READ MORE
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4. DDoS datasets : Use of machine learning to analyse intrusion detection performance
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Threats of malware, attacks and intrusion have been around since the very conception ofcomputing. Yet, it was not until the sudden growth of the internet that awareness of security anddigital assets really started to pick up steam. READ MORE
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5. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
