Background of the study
With the rapid development of computer networks, new and sophisticated types of attacks have emerged which require novel and more sophisticated defense mechanisms. Advanced Persistent Threats (APTs) are one of the most fast-growing cyber security threats that organizations face today [12]. They are carried out by knowledgeable, very skilled and well-funded hackers, targeting sensitive information from specific organizations. The objective of an APT attack is to steal sensitive data from the targeted organization, to gain access to sensitive customer data, or to access strategic or important business information that could be used for financial gain, blackmail, embarrassment, data poisoning, “illegal insider trading or disrupting an organization’s business” [30]. APT attackers target organizations in sectors with high-value information, such as national defense or military, manufacturing, and the financial industry.
NKIRU, E (2021). A Data Driven Anomaly Based Behavior Detection Method For Advanced Persistent Threats (Apt). Afribary. Retrieved from https://afribary.com/works/a-data-driven-anomaly-based-behavior-detection-method-for-advanced-persistent-threats-apt
NKIRU, EZEFOSIE "A Data Driven Anomaly Based Behavior Detection Method For Advanced Persistent Threats (Apt)" Afribary. Afribary, 13 Apr. 2021, https://afribary.com/works/a-data-driven-anomaly-based-behavior-detection-method-for-advanced-persistent-threats-apt. Accessed 20 May. 2024.
NKIRU, EZEFOSIE . "A Data Driven Anomaly Based Behavior Detection Method For Advanced Persistent Threats (Apt)". Afribary, Afribary, 13 Apr. 2021. Web. 20 May. 2024. < https://afribary.com/works/a-data-driven-anomaly-based-behavior-detection-method-for-advanced-persistent-threats-apt >.
NKIRU, EZEFOSIE . "A Data Driven Anomaly Based Behavior Detection Method For Advanced Persistent Threats (Apt)" Afribary (2021). Accessed May 20, 2024. https://afribary.com/works/a-data-driven-anomaly-based-behavior-detection-method-for-advanced-persistent-threats-apt