Publications

2022

  1. Frame, V. Janjic, M. Shahriari, M. Rossbory; Machine-Learning Based Metadata Extraction for Smart Patient Records; International Workshop on Adaptive and Personalized Privacy and Security (APPS 2022), 2022.
  2. Baranov, E., Bowles, J., Given-Wilson, T., Legay, A., Webber, T. (2022). A Secure User-Centred Healthcare System: Design and Verification. In: Bowles, J., Broccia, G., Pellungrini, R. (eds) From Data to Models and Back. DataMod 2021. Lecture Notes in Computer Science, vol 13268. Springer, Cham. https://doi.org/10.1007/978-3-031-16011-0_4
  3. Banton, M., Webber, T., Silvina, A., Bowles, J. (2022). Model-Based Security Assessment on the Design of a Patient-Centric Data Sharing Platform. In: Bowles, J., Broccia, G., Pellungrini, R. (eds) From Data to Models and Back. DataMod 2021. Lecture Notes in Computer Science, vol 13268. Springer, Cham. https://doi.org/10.1007/978-3-031-16011-0_5
  4. Constantinides, A., Belk, M., Fidas, C., Beumers, R., Vidal, D., Huang, W., Bowles, J., Webber, T., Silvina, A., Pitsillides, A. (2022) Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations. ACM Transactions on Computing for Healthcare. doi.org/10.1145/3564610
  5. Webber, T., Bowles, J., Constantinides, A., Belk, M., Morley, E., Evaluating a Smart Healthcare System Design Through Participatory Approach. Europe PMC, June 2022, doi:10.3233/shti220725

2021

  1. Constantinides, A., Constantinides, C., Belk, M., Fidas, C., Pitsillides, A. (2021). Applying Benford’s law as an efficient and low-cost solution for verifying the authenticity of users’ video streams in learning management systems. WI/IAT 2021, 563-569, doi: 10.1145/3486622.3493993
  2. Kumar, M. Differentially Private Transferrable Deep Learning with Membership-Mappings, ArXiv E-Prints. (2021) earXiv:2105.04615.
  3. Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). Design of a Trustworthy and Resilient Data Sharing Platform for Healthcare Provision. EDCC 2021: Dependable Computing – EDCC 2021 Workshops pp 144-151. doi: 10.1007/978-3-030-86507-8_14
  4. Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). Conflict-Free Access Rules for Sharing Smart Patient Health Records. Rules and Reasoning. RuleML+RR 2021. Lecture Notes in Computer Science, vol 12851. Springer, Cham. doi: 10.1007/978-3-030-91167-6_
  5. Belk, M., Fidas, C., Katsi, E., Constantinides, A., Pitsillides, A. (2021). An empirical study of picture password composition on smartwatches. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag doi:10.1007/978-3-030-85610-6_37
  6. Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2021). Understanding insider attacks in personalized picture password schemes. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag. https://doi.org/10.1007/978-3-030-85610-6_42
  7. Fidas, C., Belk, M., Constantinides, C., Constantinides, A., Pitsillides, A. (2021). A field dependence-independence perspective on eye gaze behavior within affective activities. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag doi:10.1007/978-3-030-85623-6_6
  8. Leonidou P., Constantinides A., Belk M., Fidas C., Pitsillides A. (2021). Eye gaze and interaction differences of holistic versus analytic users in image-recognition human interaction proof schemes. Human-Computer Interaction International (HCII 2021) – HCI for Cybersecurity, Privacy and Trust, LNCS, Springer-Verlag, 66-75, doi: 10.1007/978-3-030-77392-2_5
  9. Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). On the Benefits and Security Risks of a User-Centric Data Sharing Platform for Healthcare Provision. UMAP ’21 June 2021 Pages 351–356 doi: 10.1145/3450614.3464473
  10. Constantinides, C., Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2021). A comparative study among different computer vision algorithms for assisting users in picture password composition. ACM User Modeling, Adaptation and Personalization (UMAP 2021 Adjunct), ACM Press, 357-362, doi: 10.1145/3450614.3464474
  11. Fidas, C., Belk, M., Portugal, D., Pitsillides, A. (2021). Privacy-preserving biometric-driven data for student identity management: Challenges and approaches. ACM User Modeling, Adaptation and Personalization (UMAP 2021 Adjunct), ACM Press, 368-370, doi: 10.1145/3450614.3464470
  12. Bowles, J., Webber, T., Blackledge, E., Vermeulen, A. F. (2021). A Blockchain-Based Healthcare Platform for Secure Personalised Data Sharing. 31st Medical Informatics Europe Conference (MIE 2021 EFMI).Volume 281. doi: 10.3233/SHTI210150
  13. Constantinides, A., Fidas, C., Belk, M., Pietron, A., Han, T., Pitsillides, A. (2021). From hot-spots towards experience-spots: Leveraging on users’ sociocultural experiences to enhance security in cued-recall graphical authentication. International Journal of Human-Computer Studies, 149, Elsevier. doi: 10.1016/j.ijhcs.2021.102602
  14. Kumar, M.,  Rossbory, M.,  Moser, B,A.,  Freudenthaler, B. (2021)“An optimal (∊,δ)-differentially private learning of distributed deep fuzzy models,” Information Sciences, Volume 546, 2021, Pages 87-120, https://doi.org/10.1016/j.ins.2020.07.044.

2020

  1. Given-Wilson, T., Baranov, E., Legay, A. (2020). Building User Trust of Critical Digital Technologies (ICI2020) doi: 10.1109/ICIT45562.2020.9067154
  2. Silvina, A., Bowles J., Hall P. (2020). Combining Patient Pathway Visualisation with Prediction Outcomes for Chemotherapy Treatments. 12th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020), 22-26 March 2020, Valencia, Spain. Think Mind.
  3. Bowles, J.,  Mendoza-Santana, J., Vermeulen, A. F., Webber, T., Blackledge E. (2020). Integrating Healthcare Data for Enhanced Citizen-Centred Care and Analytics EFMI STC 2020. Integrated Citizen centered digital health and social care Citizens as – data producers and service co-creators, Virtual conference 26-27 November 2020,  doi: 10.3233/SHTI200686
  4. Given-Wilson T., Legay A. (2020). Formalising Fault Injection and Countermeasures, (ARES 2020). Virtual Edition, 2020, doi: 10.1145/3407023.3407049
  5. Bowles, J., Silvina, A., Bin, E., Vinov, M. (2020). On defining rules for cancer data fabrication. Rules and Reasoning: RuleML+RR 2020, LNCS, Springer, 2020. doi: 10.1007/978-3-030-57977-7_13
  6. Kumar, M.,  Rossbory, M.,  Moser, B,A.,  Freudenthaler, B.(2020). Differentially Private Learning of Distributed Deep Models. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication). doi: 10.1145/3386392.3399562
  7. Bowles, J., Mendoza-Santana, J., Webber, T. (2020).  Interacting with next-generation smart patient-centric healthcare systems. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication).doi: 10.1145/3386392.3399561
  8. Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2020). Design and Development of a Patient-centric User Authentication System. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication).doi: 10.1145/3386392.3399564
  9. Constantinides, A., Pietron, A., Belk, M., Fidas, C., Han, T., Pitsillides, A. (2020). A Cross-cultural Perspective for Personalizing Picture Passwords. ACM User Modeling, Adaptation and Personalization (UMAP 2020), ACM Press. doi: 10.1145/3340631.3394859
  10. Webber T., Santana J.M., Vermeulen A.F., Bowles J.K.F. (2020). Designing a Patient-Centric System for Secure Exchanges of Medical Data. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham, 598-614. doi: 10.1007%2F978-3-030-58817-5_44
  11. Costi, A., Belk, M., Fidas, C., Constantinides, A., Pitsillides, A. (2020). CogniKit: An Extensible Tool for Human Cognitive Modeling based on Eye Gaze Analysis. ACM Intelligent User Interfaces (IUI Companion 2020), ACM Press, 130-131. doi: 10.1145/3379336.3381460
  12. Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2020). An eye gaze-driven metric for estimating the strength of graphical passwords based on image hotspots. ACM Intelligent User Interfaces (IUI 2020), ACM Press. doi: 10.1145/3377325.3377537

2019 

  1. Janjic, V., Bowles, J.K.F., Vermeulen, A. F., Silvina, A., Belk, M., Fidas, C., Pitsillides, A., Kumar, M., Rossborry, M., Vinov, M., Given-Wilson, T., Legay, A., Blackledge, E., Arredouani, R., Stylianou, G., Huang, W. (2019). The SERUMS tool-chain: ensuring security and privacy of medical data in smart patient-centric healthcare systems. (IEEE Big Data), Los Angeles, December 2019, IEEE Press. doi: 10.1109/BigData47090.2019.9005600
  2. Fidas, C. (2019). Eye tracking based cognitive-centered user models. ACM Conference on Web Intelligence (WI 2019), ACM Press, 433-437. doi: 10.1145/3350546.3352563
  3. Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2019).“I Recall this Picture”: Understanding Picture Password Selections based on Users’ Sociocultural Experiences. ACM Web Intelligence (WI 2019), ACM Press, 408-412. doi: 10.1145/3350546.3352557
  4. Fidas, C.,  Belk, M., .Hadjidemetriou,G.,  Pitsillides A. (2019). Influences of Mixed Reality and Human Cognition on Picture Passwords: An Eye Tracking Study Published by Springer Nature Switzerland AG 2019 D. Lamas et al. (Eds.): (INTERACT 2019), LNCS 11747, pp. 304–313, 2019. doi: 10.1007/978-3-030-29384-0_19
  5. Silvina, A., Bowles, J., Hall, P. (2019). On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer. Springer Nature Switzerland AG 2019 D. Riaño et al. (Eds.): (AIME 2019), LNAI 11526, pp. 180–190, 2019. doi: 10.1007/978-3-030-21642-9_24
  6. Diomedous, C., Athanasopoulos E. (2019). Practical Password Hardening Based on TLS.Springer Nature Switzerland AG 2019 R. Perdisci et al. (Eds.): (DIMVA 2019), LNCS 11543, pp. 441–460, 2019. doi: 10.1007/978-3-030-22038-9_21
  7. Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2019).On the accuracy of eye gaze-driven classifiers for predicting image content familiarity in graphical passwords. ACM User Modeling, Adaptation and Personalization (UMAP 2019), ACM Press, 201  205. doi: 10.1145/3320435.3320474
  8. Janjic, V., Bowles, J.K.F., Belk, M., Pitsillides. A. (2019). Security And Privacy Of Medical Data: Challenges For Next-Generation Patient-Centric Healthcare Systems. (UMAP 2019) Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization June 2019 Pages 213–214. doi: 10.1145/3314183.3326364
  9. Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2019). On the Personalization of Image Content in Graphical Passwords based on Users’ Sociocultural Experiences: New Challenges and Opportunities. Adaptive and Personalized Privacy and Security Workshop (APPS 2019), UMAP (Adjunct Publication), 199-202. doi: 10.1145/3314183.3324966
  10. Belk, M., Fidas,C., Pitsillides. A. (2019). Flexpass: Symbiosis of seamless user authentication schemes in Iot. In Extended Abstracts of the (CHI 2019). doi: 10.1145/3290607.3312951
  11. Hadjidemetriou, G., Belk, M., Fidas, C., Pitsillides, A. (2019). Picture passwords in mixed reality: Implementation and evaluation (2019). ACM SIGCHI Human Factors in Computing Systems (CHI 2019), ACM Press. doi: 10.1145/3290607.3313076

H2020

EU