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Showing result 1 - 5 of 21 essays matching the above criteria.
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1. Intrusion Detection in IT Infrastructures using Hidden Markov Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. READ MORE
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2. Hidden Markov Models for Intrusion Detection Under Background Activity
University essay from KTH/Matematisk statistikAbstract : Detecting a malicious hacker intruding on a network system can be difficult. This challenge is made even more complex by the network activity generated by normal users and by the fact that it is impossible to know the hacker’s exact actions. READ MORE
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3. Detecting IT System Intrusions Using Hidden Markov Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In today's day and age, the use and implementation of cyber security software isof the utmost importance. Aiming to dive into the basic algorithms behind these softwareprograms, this paper highlights one of the different approaches that keep us safe online. READ MORE
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4. Statistical Analysis and Modeling of the Behavioral Response to Humidity and Olfactory Cues by the Vinegar Fly Drosophila melanogaster
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Animals are impacted by the humidity of their surrounding environment, it affects their ability of thermoregulation, water retention and their overall well-being. For small insects the effects of the surrounding humidity is even more important as they have a limited water storage which depletes faster in a drier environment. READ MORE
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5. Human Gait Phase Recognition in Embedded Sensor System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Gait analysis can improve our understanding of gait to improve medical diagnosis or treatment in clinical assessment. Studying the gait cycle in an embedded sensor system is essential for the detection of any abnormal walking pattern. READ MORE