• Border Control and Use of Biometrics: Reasons Why the Right to Privacy Can Not Be Absolute 

      Abomhara, Mohamed; Yildirim Yayilgan, Sule; Shalaginova, Marina; Székely, Zoltán (Chapter, 2020)
      This paper discusses concerns pertaining to the absoluteness of the right to privacy regarding the use of biometric data for border control. The discussion explains why privacy cannot be absolute from different points of ...
    • A comparison of primary stakeholders views on the deployment of biometrics technology in border management: Case study of smart mobility at the European land borders 

      Abomhara, Mohamed; Yildirim Yayilgan, Sule; Nweke, Livinus Obiora; Székely, Zoltán (Peer reviewed; Journal article, 2021)
      Advances in technology have a substantial impact on every aspect of our lives, ranging from the way we communicate to the way we travel. The Smart mobility at the European land borders (SMILE) project is geared towards the ...
    • Crime Intelligence from Social Media Using CISMO 

      Elezaj, Ogerta; Yildirim Yayilgan, Sule; Ahmed, Javed; Kalemi, Edlira; Brichfeld, Brumle; Haubold, Claudia (Peer reviewed; Journal article, 2020)
      Nowadays, online social networks (OSNs) are being used as a hosting ground for criminal activities, and the legal enforcement agencies (LEAs) are struggling to process and analyse the huge amount of data coming from these ...
    • Cyber-Security Gaps in a Digital Substation: From Sensors to SCADA 

      Khodabakhsh, Athar; Yildirim Yayilgan, Sule; Houmb, Siv Hilde; Hurzuk, Nargis; Foros, Jørn; Istad, Maren Kristine (Chapter, 2020)
      Development of digital substations provides power industrial operation, real-time functionalities and information access. A main challenge in DS is to ensure security, availability, and reliability of power systems as in ...
    • 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 Neural Network based Malicious Network Activity Detection Under Adversarial Machine Learning Attacks 

      Catak, Ferhat Özgur; Yildirim Yayilgan, Sule (Journal article, 2021)
    • Deep Smoke Removal from Minimally Invasive Surgery Videos 

      Bolkar, Sabri; Wang, Congcong; Alaya Cheikh, Faouzi; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      During video-guided minimally invasive surgery, quality of frames may be degraded severely by cauterization-induced smoke and condensation of vapor. This degradation of quality creates discomfort for the operating surgeon, ...
    • Deep-STRESS Capsule Video Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      This paper proposes a unified framework for capsule video endoscopy image enhancement with an objective to enhance the diagnostic values of these images. The proposed method is based on a hybrid approach of deep learning ...
    • Distribution of fiscal coupons via Genetic Algorithms and Greedy Randomized Adaptive Search Procedure 

      Sylejmani, Kadri; Hyseni, Qëndresë; Yildirim Yayilgan, Sule; Qurdina, Agon; Mula, Leke; Krasniqi, Bujar (Journal article; Peer reviewed, 2018)
      When customers buy goods or services from business entities they are usually given a receipt that is known with the name fiscal or tax coupon, which, among the others, contains details about the value of the transaction. ...
    • 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. ...
    • The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection 

      Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein (Chapter, 2020)
      Accurate polyp detection during the colonoscopy procedure impacts colorectal cancer prevention and early detection. In this paper, we investigate the influence of skip connections as the main component of encoder-decoder ...
    • Mobile-Based Painting Photo Retrieval using Combined Features 

      Companioni-Brito, Claudia; Mariano, Zygred; Elawady, Mohamed; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      In paintings or artworks, sharing a photo of a painting using mobile phone is simple and fast. However, searching for information about specific captured photo of an unknown painting takes time and is not easy. No previous ...
    • The multi-objective feature selection in Android malware detection system 

      Mohammadi Golrang, Anahita; Yildirim Yayilgan, Sule; Elezaj, Ogerta (Peer reviewed; Journal article, 2021)
      The Android operating system boosts a global market share over the previous years, which has made it the most popular operating system in the world. Recently, Android has become the target of attacks by cybercriminals ...
    • 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. ...
    • Optimised Deep Learning Features for Improved Melanoma Detection 

      Majtner, Tomas; Yildirim Yayilgan, Sule; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2018)
      In this article, we are addressing the question of effective usage of the feature set extracted from deep learning models pre-trained on ImageNet. Exploring this option will offer very fast and attractive alternative to ...
    • 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 ...
    • Pre-trained CNN based deep features with hand-crafted features and patient data for skin lesion classification 

      Yildirim Yayilgan, Sule; Arifaj, Blend; Rahimpour, Masoomeh; Hardeberg, Jon Yngve; Ahmedi, Lule (Peer reviewed; Journal article, 2021)
      Skin cancer is a major public health problem, with millions newly diagnosed cases each year. Melanoma is the deadliest form of skin cancer, responsible for the most over 6500 deaths each year in the US, and the rates have ...
    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ...
    • Security Analysis of Wireless BAN in e-Health 

      Muka, Romina; Yildirim Yayilgan, Sule; Sevrani, Kozeta (Journal article; Peer reviewed, 2017)
      The Wireless Body Area Network (WBAN) has gained popularity as a new technology for e-Health, and is considered as one of the key research areas in computer science and healthcare applications. WBAN collects patients’ data, ...
    • Stochastic Capsule Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed ...