Now showing items 1576-1595 of 2526

    • On the Disaster Resiliency within the Context of 5G Networks: The RECODIS Experience 

      Esposito, Christian; Gouglidis, Antonios; Hutchison, David; Gurtov, Andrei; Helvik, Bjarne Emil; Heegaard, Poul Einar; Rizzo, Gianluca; Rak, Jacek (Chapter, 2018)
      Network communications and the Internet pervade our daily activities so deeply that we strongly depend on the availability and quality of the services they provide. For this reason, natural and technological disasters, by ...
    • On the Feasibility of Fully Homomorphic Encryption of Minutiae-Based Fingerprint Representations 

      Bauspieß, Pia; Vad, Lasse; Myrekrok, Håvard Borgen; Costache, Anamaria; Kolberg, Jascha; Rathgeb, Christian; Busch, Christoph (Peer reviewed; Journal article, 2023)
      Protecting minutiae-based fingerprint templates with fully homomorphic encryption has recently been recognised as a hard problem. In this work, we evaluate state-of-the-art fingerprint recognition based on minutiae templates ...
    • On the GDPR introduction in EU and its impact on financial fraud research 

      Lopez Rojas, Edgar Alonso; Gultemen, Dincer; Zoto, Erjon (Chapter, 2018)
      With the introduction of GDPR in the European Union (EU) in May 2018, personal data contained within financial records will become even more restricted to researchers due to the strict organisations’ internal policies. ...
    • On the Network Throughput Under Delay and Burstiness Constraints 

      Mahmood, Kashif (Doktoravhandlinger ved NTNU, 1503-8181; 2012:119, Doctoral thesis, 2012)
      The rapid growth of delay sensitive applications, such as VoIP1 and IP video, requires the performance analysis of systems with quality of service (QoS) support. A fundamental question in this regard is to predict the ...
    • On the Partial Decoding Delay of Sparse Network Coding 

      Zarei, Amir; Pahlevani, Peyman; Davoodi Monfared, Mansoor (Peer reviewed; Journal article, 2018)
      Sparse network coding (SNC) is a promising technique for reducing the complexity of random linear network coding (RLNC), by selecting a sparse coefficient matrix to code the packets. However, the performance of SNC for the ...
    • On the Performance Analysis of V2N Mixed RF and Hybrid FSO/RF Communication System 

      Sandeep, VSV; Gurjar, Devendra S.; Yadav, Suneel; Pattanayak, Prabina; Jiang, Yuming (Peer reviewed; Journal article, 2022)
      Vehicular communications allow vehicles to connect with other vehicles and network infrastructures in order to facilitate the transfer of real-time information and dependable transportation. This paper proposes a system ...
    • On the Relation Between ROC and CMC 

      Veldhuis, Raymond Nicolaas Johan; Raja, Kiran (Journal article; Peer reviewed, 2023)
      We formulate a compact relation between the probabilistic Receiver Operating Characteristic (ROC) and the probabilistic Cumulative Match Characteristic (CMC) that predicts every entry of the probabilistic CMC as a functional ...
    • On the Resilience of the NFV-MANO: An Availability Model of a Cloud-native Architecture 

      Tola, Besmir; Jiang, Yuming; Helvik, Bjarne Emil (Chapter, 2020)
      With Network Function Virtualization (NFV), the management and orchestration of network services require a new set of functionalities to be added on top of legacy models of operation. Due to the introduction of the ...
    • One click privacy for online social networks 

      Hehnle, Philipp; Keilbach, Pascal; Lee, Hyun-Jin; Lejn, Sabrina; Steidinger, Daniel; Weinbrenner, Marina; Langweg, Hanno (Journal article; Peer reviewed, 2017)
      We present an approach to reduce the complexity of adjusting privacy preferences for multiple online social networks. To achieve this, we quantify the effect on privacy for choices that users make, and simplify configuration ...
    • One-shot multispectral color imaging with a stereo camera 

      Shrestha, Raju; Hardeberg, Jon Yngve; Mansouri, Alamin (Proceedings of SPIE;7876, Journal article; Peer reviewed, 2011)
      Multispectral color imaging is a promising technology, which can solve many of the problems of traditional RGB color imaging. However, it still lacks widespread and general use because of its limitations. State of the art ...
    • Online DDoS attack detection using Mahalanobis distance and Kernel-based learning algorithm 

      Çakmakçı, Salva Daneshgadeh; Kemmerich, Thomas; Ahmed, Tarem; Baykal, Nazife (Peer reviewed; Journal article, 2020)
      Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and networking technologies and attackers' motivations are changing. In recent years, several supervised DDoS detection algorithms have ...
    • Online DDoS attack detection using Mahalanobis distance and Kernel-based learning algorithm 

      Çakmakçı, Salva Daneshgadeh; Kemmerich, Thomas; Ahmed, Tarem; Baykal, Nazife (Peer reviewed; Journal article, 2020)
      Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and networking technologies and attackers' motivations are changing. In recent years, several supervised DDoS detection algorithms have ...
    • Online Grooming Detection on Social Media Platforms 

      Borj, Parisa Rezaee (Doctoral theses at NTNU;2023:111, Doctoral thesis, 2023)
      Online grooming detection has become a critical research topic in the era of extensive data analysis. It is essential to protect vulnerable users, particularly adolescents, against sexual predation on online platforms and ...
    • Online grooming detection: A comprehensive survey of child exploitation in chat logs 

      Rezaee Borj, Parisa; Raja, Kiran; Bours, Patrick Adrianus (Peer reviewed; Journal article, 2022)
      Social media platforms present significant threats against underage users targeted for predatory intents. Many early research works have applied the footprints left by online predators to investigate online grooming. While ...
    • Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy 

      Krämer, Frank Alexander; Asad, Hafiz Areeb; Bach, Kerstin; Renner, Christian (Peer reviewed; Journal article, 2023)
      We explore the potential for predicting indoor photovoltaic energy on a forecasting horizon of up to 24 hours. The objective is to enable energy management approaches that exploit harvesting opportunities more strategically, ...
    • An Ontological Framework to Facilitate Early Detection of ‘Radicalization’ (OFEDR)—A Three World Perspective 

      Wendelberg, Linda (Peer reviewed; Journal article, 2021)
      This paper presents an ontology that involves using information from various sources from different disciplines and combining it in order to predict whether a given person is in a radicalization process. The purpose of the ...
    • An Ontology-Based Context Model for Managing Security Knowledge in Software Development 

      Wen, Shao-Fang; Katt, Basel (Chapter, 2018)
      Software security has been the focus of the security community and practitioners over the past decades. Much security information is widely available in books, open literature or on the internet. We argue that the generated ...
    • Ontology-based Data Extraction in the Scholarship-Related Content 

      Yushtina, Anna (Master thesis, 2013)
      Master Thesis on the topic "Ontology-based Data Extraction in the Scholarship-Related Content" is concentrated on the area of ontologies and on the research of the methods by which ontological concepts can be recognized ...
    • Ontology-Based Metrics Computation for System Security Assurance Evaluation 

      Wen, Shao-Fang; Katt, Basel (Journal article; Peer reviewed, 2022)
      Security assurance evaluation (SAE) is a technique that helps organizations to appraise the trust and confidence that a system can be operated correctly and securely. This paper contributes to the research on quantitative ...