Browsing by Author "Daǧ,H."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation Count: 0
    A Comprehensive Review of Open Source Intelligence in Intelligent Transportation Systems
    (Institute of Electrical and Electronics Engineers Inc., 2024) Ecevit, Mert İlhan; Ecevit,M.I.; Daǧ,H.; Creutzburg,R.
    This paper offers an insightful review of Open Source Intelligence (OSINT) within Intelligent Transportation Systems (ITS), emphasizing its heightened importance amidst the digital and connected evolution of the transportation sector. It highlights the integration of technologies like IoT and SCADA systems, which, while beneficial, introduce new cyber vulnerabilities. Focusing on the utilization of OSINT for surveillance, threat detection, and risk assessment, the study evaluates key tools such as Shodan and Aircrack-ng, addressing their roles in enhancing transportation system security. The paper also tackles challenges in OSINT application, from data reliability to ethical and legal considerations, stressing the need for a balance between technological advancement and privacy protection. Through real-world case studies, the paper illustrates OSINT's practical applications in scenarios like maritime security and military surveillance. Conclusively, it underscores the necessity for continuous dialogue among experts to navigate the complexities of OSINT in transportation, particularly as technology evolves and data volumes increase. © 2024 IEEE.
  • Thumbnail Image
    Conference Object
    Citation Count: 3
    A recommender model based on trust value and time decay: Improve the quality of product rating score in E-commerce platforms
    (Institute of Electrical and Electronics Engineers Inc., 2017) Işik,M.; Daǧ,H.
    Most of the existing products rating score algorithms do not take fake accounts and time decay of users' ratings into account when creating the list of recommendations. The trust values and the time decay of users' ratings to an item may improve the quality of product rating score in e-commerce platforms, especially when it is thought that nowadays the majority of customers read the reviews before making a purchase. In this paper, we first introduce the concept trust value of users by explaining its mathematical definition and redefine the product rating score based on users' trust relationship. Then we calculate the product rating score based on time decay by making the concept time decay clear. After that we execute both algorithms together in order to show their both effects on the quality of product rating score. Finally, we present experimentally effectiveness of three approaches on a large real dataset. © 2017 IEEE.