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Survey of access control models and technologies for cloud computing., , , , , and . Clust. Comput., 22 (Supplement): 6111-6122 (2019)A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs., , , , , , and . Future Internet, 11 (3): 61 (2019)Identification of the source camera of images based on convolutional neural network., , , , , and . Digit. Investig., (2018)Privacy Disclosure in the Real World: An Experimental Study., , , , and . Int. J. Inf. Secur. Priv., 16 (1): 1-22 (2022)Security enhancement technologies for smart contracts in the blockchain: A survey., , , , , , and . Trans. Emerg. Telecommun. Technol., (2021)Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets., , , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (10): 101820 (December 2023)A Novel Method for Detecting Image Forgery Based on Convolutional Neural Network., , and . TrustCom/BigDataSE, page 1702-1705. IEEE, (2018)An adaptive semi-supervised deep learning-based framework for the detection of Android malware., , , , , , , and . J. Intell. Fuzzy Syst., 45 (3): 5141-5157 (2023)An Efficient Authentication Protocol for Wireless Mesh Networks "In Prepress"., , , , and . J. Web Eng., 19 (7-8): 230-243 (2020)An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources., , , , , , , and . Intell. Decis. Technol., 18 (1): 33-55 (2024)