• Data-driven Intrusion Detection System for Small and Medium Enterprises 

      Elezaj, Ogerta; Yildirim Yayilgan, Sule; Abomhara, Mohamed Ali Saleh; Yeng, Prosper; Ahmed, Javed (Journal article; Peer reviewed, 2019)
      Small and Medium Enterprises (SMEs) have become targets of attack by cyber criminals in resent times. This paper therefore aim to address awareness and challenges of SMEs related to IDSs as the most important defense tool ...
    • Deep learning based Sequential model for malware analysis using Windows exe API Calls 

      Catak, Ferhat Özgur; Yazi, Ahmet Faruk; Elezaj, Ogerta; Ahmed, Javed (Peer reviewed; Journal article, 2020)
      Malware development has seen diversity in terms of architecture and features. This advancement in the competencies of malware poses a severe threat and opens new research dimensions in malware detection. This study is ...
    • How to do it right: A framework for biometrics supported border control 

      Abomhara, Mohamed Ali Saleh; Yildirim Yayilgan, Sule; Nymoen, Anne Hilde Ruen; Shalaginova, Marina; Székely, Zoltán; Elezaj, Ogerta (Journal article; Peer reviewed, 2019)
      Complying with the European Union (EU) perspective on human rights goes or should go together with handling ethical, social and legal challenges arising due to the use of biometrics technology as border control technology. ...
    • A Novel hybrid IDS based on modified NSGAII-ANN and Random Forest 

      Golrang, Anahita; Golrang, Alale; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2020)
      Machine-learning techniques have received popularity in the intrusion-detection systems in recent years. Moreover, the quality of datasets plays a crucial role in the development of a proper machine-learning approach. ...
    • Practical Implementation of Privacy Preserving Clustering Methods Using a Partially Homomorphic Encryption Algorithm 

      Catak, Ferhat Özgur; Aydin, Ismail; Elezaj, Ogerta; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2020)
      The protection and processing of sensitive data in big data systems are common problems as the increase in data size increases the need for high processing power. Protection of the sensitive data on a system that contains ...
    • Towards Designing a Knowledge Graph-Based Framework for Investigating and Preventing Crime on Online Social Networks 

      Elezaj, Ogerta; Yildirim Yayilgan, Sule; Kalemi, Edlira; Wendelberg, Linda; Abomhara, Mohamed Ali Saleh; Ahmed, Javed (Journal article; Peer reviewed, 2019)
      Online Social Networks (OSNs) have fundamentally and permanently altered the arena of digital and classical crime. Recently, law enforcement agencies (LEAs) have been using OSNs as a data source to collect Open Source ...