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Skip to Search Results- 6Concordia University of Edmonton
- 4Concordia University of Edmonton/Master of Information Systems Security Management (MISSM) and Master of Information Systems Assurance Management (MISAM) Project Reports (Concordia University of Edmonton)
- 2Concordia University of Edmonton/Master of Education Research Project Final Reports (Concordia University of Edmonton)
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2021-06-23
Ramani, Sushmitha Suruliyandi, Naralasetty, Manikanta, Avneesh, Kothakapu, Ambica, Rudraraju, Shainija, Nasina, Sai Harish, Metla, Sirisha
Security threats in Android applications have grown in sync with Android’s growth. Machine leaning can be used to add functionality to traditional antivirus systems. Such an approach necessitates the identification and labelling of a large amount of harmful and benign code in advance to use it...
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Behavioral-based classification and identification of ransomware variants using machine learning
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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...
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2021-06-01
Patel, Himanshu, Kapoor, Vaishali, Harmanjot, Patel, Deep, Narasimhan, Karthik, Singh,Harmanpreet, Ahluwalia, Jaspreet, Reddy, Gadi Harshitha, Peruboina, Sai Sushma
Malware is rapidly spreading on mobile platforms, causing problems for users. Worldwide, 72.72% of users are using android-based smartphones. New malware is created rapidly: obfuscation techniques can evade the signaturebased mechanism implemented in current antimalware technology. This paper...
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2009-01-01
Distributed Denial of Service attacks have long been a staple of the Internet?s malware community that has not been dealt with outside of companies with large budgets. Many of these attacks use spoofing to obfuscate their originating address. It is this problem that I intend to address with a new...
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2009-01-08
While some percentage of new-born malware has always evaded detection by anti-malware services, the quantity of malware able to compromise preventative controls is increasing. Therefore, enterprise security practitioners must confront the reality that malware will infect their organization's...
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2014-01-01
The Android operating system is increasingly exposed to a growing list of dangerous malware attacks, these attacks cost users and businesses. There is considerable research into Android malware detection, malware behavior, interaction and permissions. However, there is much less research effort...