This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
Items in this Collection
- 3machine learning
- 1Internet of Things
- 1IoT-23
- 1TensorFlow
- 1artificial intelligence
- 1behavioral analysis
- 1Carvalho, Smit Xavier
- 1Daku, Hajredin Ilmi
- 1Desai, Nisarg
- 1Farouk, Fathima Shakoora
- 1Gill, Jasmine Kaur
- 1Meka, Prithvi
-
2021-04-01
Oha, Chibueze Victor, Farouk, Fathima Shakoora, Patel, Pujan Pankaj, Meka, Prithvi, Nekkanti, Sowmya, Nayini, Bhageerath, Carvalho, Smit Xavier, Desai, Nisarg, Patel, Manishkumar
Connected devices are penetrating the market with an unprecedented speed. Networks that carry Internet of Things (IoT) traffic need highly adaptable tools for traffic analysis in order to detect and suppress malicious agents. This has prompted researchers to explore the various benefits machine...
-
Behavioral-based classification and identification of ransomware variants using machine learning
Download2018
Due to the changing behavior of ransomware, traditional classification and detection techniques do not accurately detect new variants of ransomware. Attackers use polymorphic and metamorphic techniques to avoid detection of signature -based systems. We use machine learning classification to...
-
2020
Healthcare Fraud is an act that causes a loss of billions of dollars every year across the world. The impact of healthcare fraud is very far-reaching and affects the efficiency of healthcare systems. To thwart the perpetrators early on, intelligent fraud detection technologies are required to...