A robust audio steganography technique based on image encryption using different chaotic maps.

Autor: Nasr MA; Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., El-Shafai W; Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt.; Security Engineering Lab, Computer Science Department, Prince Sultan University, 11586, Riyadh, Saudi Arabia., El-Rabaie EM; Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., El-Fishawy AS; Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., El-Hoseny HM; Computer Science Department, Higher Future Institute for Specialized Technological Studies, Cairo, 3044, Egypt., Abd El-Samie FE; Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt.; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, 11671, Riyadh, Saudi Arabia., Abdel-Salam N; Electronics and Communications Engineering Department, Faculty of Engineering, Canadian International College (CIC), Giza, Egypt. nariman_abdelsalam@cic-cairo.com.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 27; Vol. 14 (1), pp. 22054. Date of Electronic Publication: 2024 Sep 27.

A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends.

Autor: El-Shafai W; Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, 11586 Saudi Arabia.; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt., Fouda MA; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952 Egypt., El-Salam NA; Department of Electronics and Communications Engineering, Faculty of Engineering, Canadian International College (CIC), Giza, Egypt.

Publikováno v: Multimedia tools and applications [Multimed Tools Appl] 2023 May 24, pp. 1-67. Date of Electronic Publication: 2023 May 24.

Deep-learning-based seizure detection and prediction from electroencephalography signals.

Autor: Ibrahim FE; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Emara HM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Shafai W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia., Elwekeil M; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Department of Electrical and Information Engineering (DIEI), University of Cassino and Southern Lazio, Cassino, 03043, Italy., Rihan M; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Department of Electrical and Information Engineering (DIEI), University of Cassino and Southern Lazio, Cassino, 03043, Italy., Eldokany IM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Taha TE; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Fishawy AS; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Abdellatef E; Delta Higher Institute for Engineering and Technology (DHIET), Mansoura, Egypt., Abd El-Samie FE; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Department of Information Technology, College of Computer and Information sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Publikováno v: International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2022 Jun; Vol. 38 (6), pp. e3573. Date of Electronic Publication: 2022 May 13.

Efficient anomaly detection from medical signals and images with convolutional neural networks for Internet of medical things (IoMT) systems.

Autor: Khalil AA; Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt., E Ibrahim F; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Abbass MY; Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt., Haggag N; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Mahrous Y; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Sedik A; Department of the Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt., Elsherbeeny Z; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Khalaf AAM; Department of Electronics and Communications, Faculty of Engineering, Minia University, Minia, Egypt., Rihan M; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; University of Cassino and Southern Lazio, Italy., El-Shafai W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Banby GM; Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Soltan E; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Soliman NF; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia., Algarni AD; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia., Al-Hanafy W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Fishawy AS; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Al-Nuaimy W; Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, UK., Dessouky MI; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Saleeb AA; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., Messiha NW; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Dokany IM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt., El-Bendary MAM; Department of Electronics Technology, Faculty of Technology and Education, Helwan University, Cairo, Egypt., Abd El-Samie FE; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 84428, Riyadh 11671, Saudi Arabia.

Publikováno v: International journal for numerical methods in biomedical engineering [Int J Numer Method Biomed Eng] 2022 Jan; Vol. 38 (1), pp. e3530. Date of Electronic Publication: 2021 Dec 18.

Efficient implementation of optical scanning holography in cancelable biometrics.

Autor: Abd El-Samie FE, Nassar RM, Safan M, Abdelhamed MA, Khalaf AAM, El Banby GM, Zahran O, El-Rabaie EM, Mohamed AA, El-Dokany IM, H Ahmed H, El-Khamy S, Ramadan N, Soliman RF, El-Shafai W

Publikováno v: Applied optics [Appl Opt] 2021 May 01; Vol. 60 (13), pp. 3659-3667.