Browsing by Author "Wagner, Isabel"
Now showing items 1-16 of 16
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Behavior-Based Outlier Detection for Network Access Control Systems
Muhammad, Musa Abubakar; Ayesh, Aladdin; Wagner, Isabel (Conference)Network Access Control (NAC) systems manage the access of new devices into enterprise networks to prevent unauthorised devices from attacking network services. The main difficulty with this approach is that NAC cannot ... -
Challenges in assessing privacy impact: Tales from the front lines
Ferra, Fenia; Wagner, Isabel; Boiten, Eerke; Hadlington, Lee; Psychoula, Ismini; Snape, Richard (Article)Data protection impact assessments (DPIAs) aim to identify, rank, and mitigate privacy risks. Even though DPIAs are legally mandated in some cases and privacy professionals perform DPIAs on a daily basis, facilitating the ... -
Dying of a Hundred Good Symptoms: Why Good Security Can Still Fail - A Literature Review and Analysis
Loft, Paul; He, Ying; Janicke, Helge; Wagner, Isabel (Article)Many organizations suffer serious information security incidents, despite having taken positive steps towards achieving good security standards. Security certifications and high levels of maturity may have been obtained, ... -
Evaluating the Strength of Genomic Privacy Metrics
Wagner, Isabel (Article)The genome is a unique identifier for human individuals. The genome also contains highly sensitive information, creating a high potential for misuse of genomic data (for example, genetic discrimination). In this paper, we ... -
Gender and Performance in Computer Science
Wagner, Isabel (Article)The term gender gap refers to the significant underrepresentation of females in many subjects. In Computer Science, the gender gap exists at all career levels. In this paper, we study whether there is a performance gap in ... -
Measuring Privacy in Vehicular Networks
Wagner, Isabel (Conference)Vehicular communication plays a key role in near- future automotive transport, promising features like increased traffic safety or wireless software updates. However, vehicular communication can expose driver locations and ... -
A Novel Principle to Validate Digital Forensic Models
Mothi, Dinesh; Janicke, Helge; Wagner, Isabel (Article)Digital forensic models (DFMs) form the base for any digital investigation because they guide the investigators with necessary steps and procedures to be taken during the investigation. State-of-the-art DFMs assume that ... -
POSTER: Evaluating Privacy Metrics for Graph Anonymization and De-anonymization
Zhao, Y.; Wagner, Isabel (Conference)Many modern communication systems generate graph data, for example social networks and email networks. Such graph data can be used for recommender systems and data mining. However, because graph data contains sensitive ... -
Privacy in the Smart City - Applications, Technologies, Challenges and Solutions
Eckhoff, David; Wagner, Isabel (Article)Many modern cities strive to integrate information technology into every aspect of city life to create so-called smart cities. Smart cities rely on a large number of application areas and technologies to realize complex ... -
Privacy Risk Assessment: From Art to Science, by Metrics
Wagner, Isabel; Boiten, Eerke Albert (Book chapter)Privacy risk assessments aim to analyze and quantify the privacy risks associated with new systems. As such, they are critically important in ensuring that adequate privacy protections are built in. However, current methods ... -
Technical Privacy Metrics: a Systematic Survey
Wagner, Isabel; Eckhoff, David (Article)The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user ... -
Using Metrics Suites to Improve the Measurement of Privacy in Graphs
Zhao, Yuchen; Wagner, Isabel (Article)Social graphs are widely used in research (e.g., epidemiology) and business (e.g., recommender systems). However, sharing these graphs poses privacy risks because they contain sensitive information about individuals. Graph ...