Staff Portal
Ruqayah Ayad Al-Ani (Lecturer)

PhD in Network Security
Lecturer
Computer Science - Computer Sciences and IT
ruqayah.alani@uoanbar.edu.iq


Biography

Personal Information:

Ruqayah Al-Ani

Lecturer

PhD in Network Security

Faculity Member in the Department of Computer Science-College of Computer Science and Network Security

Ruqayah.alani@uoanbar.edu.iq

Lecturer in Anbar University (2009-Present)

 

 

 

Publication

Publications:
Al-Ani, R., Baker, T., Zhou, B. and Shi, Q., 2023. Privacy and safety improvement of VANET data via a safety-related privacy scheme. International Journal of Information Security22(4), pp.763-783.
Al-Ani, R.A.A., 2020. A pseudonym-based solution for efficient security and enhanced privacy in VANET safety applications. Liverpool John Moores University (United Kingdom).
Al-Ani, R., Zhou, B., Shi, Q., Baker, T. and Abdlhamed, M., 2020, June. Adjusted Location Privacy Scheme in VANET Safety Applications. In NOMS 2020-2020 IEEE/IFIP network operations and management symposium. IEEE.
Al-Ani, R., Zhou, B., Shi, Q. and Sagheer, A., 2018, June. A survey on secure safety applications in VANET. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 1485-1490). IEEE.

 

Lectures


No. Subjects Lectures Stage File Video
1 Programming in CPP Introduction First

Academic certificates

Academic Certificates:

2004: BSc  in Computer Science awarded from Al-Nahrain Univerty , College of Science.

2009: MSc in Computer Science awarded from Al-Nahrain Univerty , College of Science.

2020: PhD  

Supervision

Supervision:

B. Sc. Students

  • Image Steganography
  • Design and Implement a Navigation Assistant Application for Anbar University using Android Platform

 

 

Other

Ruqayah Al-ani, Bo Zhou, Qi Shi, and Ali Sagheer (2019), “Privacy Preserving Scheme for Safety Applications in VANET”, Faculty Research Conference 2019 in LJMU
Ruqayah Al-ani, Bo Zhou, Qi Shi, and Ali Sagheer (2018), “An Improved Elliptic Curve Digital Signature Algorithm for Vehicular Ad Hoc Networks”, IEEE UK & Ireland YP Postgraduate STEM Research Symposium, 2018
Ruqayah Al-ani, Bo Zhou, Qi Shi, and Ali Sagheer (2018), “Secure Real-time communication for VANET”, Faculty Research Conference 2018 in LJMU
Ruqayah Al-ani, Bo Zhou, Qi Shi, and Ali Sagheer (2017), “Authenticated Real-time Privacy Preserving in VANETs”, Faculty Research Conference 2017 in LJMU