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Full-Text Articles in Physical Sciences and Mathematics
An Empirical Assessment Of Users' Information Security Protection Behavior Towards Social Engineering Breaches, Nisha Jatin Patel
An Empirical Assessment Of Users' Information Security Protection Behavior Towards Social Engineering Breaches, Nisha Jatin Patel
CCE Theses and Dissertations
User behavior is one of the most significant information security risks. Information Security is all about being aware of who and what to trust and behaving accordingly. Due to technology becoming an integral part of nearly everything in people's daily lives, the organization's need for protection from security threats has continuously increased. Social engineering is the act of tricking a user into revealing information or taking action. One of the riskiest aspects of social engineering is that it depends mainly upon user errors and is not necessarily a technology shortcoming. User behavior should be one of the first apprehensions when …
Compound Effects Of Clock And Voltage Based Power Side-Channel Countermeasures, Jacqueline Lagasse
Compound Effects Of Clock And Voltage Based Power Side-Channel Countermeasures, Jacqueline Lagasse
Masters Theses
The power side-channel attack, which allows an attacker to derive secret information from power traces, continues to be a major vulnerability in many critical systems. Numerous countermeasures have been proposed since its discovery as a serious vulnerability, including both hardware and software implementations. Each countermeasure has its own drawback, with some of the highly effective countermeasures incurring large overhead in area and power. In addition, many countermeasures are quite invasive to the design process, requiring modification of the design and therefore additional validation and testing to ensure its accuracy. Less invasive countermeasures that do not require directly modifying the system …
Monitoring Dbms Activity To Detect Insider Threat Using Query Selectivity, Prajwal B. Hegde
Monitoring Dbms Activity To Detect Insider Threat Using Query Selectivity, Prajwal B. Hegde
Open Access Theses
The objective of the research presented in this thesis is to evaluate the importance of query selectivity for monitoring DBMS activity and detect insider threat. We propose query selectivity as an additional component to an existing anomaly detection system (ADS). We first look at the advantages of working with this particular ADS. This is followed by a discussion about some existing limitations in the anomaly detection system (ADS) and how it affects its overall performance. We look at what query selectivity is and how it can help improve upon the existing limitations of the ADS. The system is then implemented …