Seminar za veštačku inteligenciju, 20. decembar 2023.

Naredni sastanak Seminara biće održan onlajn u sredu, 20. decembra 2023. sa početkom u 19 časova.
 
Predavač: Đorđe Jovanović, Matematički institut SANU
 
Naslov predavanja: DETECTION OF BOTNET CnC PATTERNS USING TIME SERIES CHARACTERISTICS
 
Apstrakt:
Botnets are a class of viruses which use a network of infected computers, connected via internet, to execute a DDoS attack against a server. With the emergence of Mirai botnet, this class of viruses gained worldwide attention from both industry experts and academia. Since the entirety of botnet communication occurs via computer networks, header inspection and deep packet analysis are two most common methods of botnet detection. In this lecture a third method of botnet detection, which focuses on time series characteristics, will be used to extract features of botnet CnC communication, in an attempt to properly detect this type of malware, and, ultimately, mitigate the damage it might make. The dataset for this research used captured network traces of RaspberryPi devices, which have been infected with newest samples of Mirai and Gafgyt viruses. Also, special attention shall be directed towards various particularities of such a problem, such as handling class imbalance, machine learning pipeline, hyperparameter optimization.
 
Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz


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