Due to the widespread of advanced digital imaging devices, forgery of digital images became more serious attack patterns. In this attack scenario, the attacker tries to manipulate the digital image to conceal some meaningful information of the genuine image for malicious purposes. This leads to increase security interest about protecting images against integrity tampers. This paper proposes a novel technique for protecting colored images against forgery and pixel tamper. The proposed approach is designed as a hybrid model from three security techniques, Message Digest hashing algorithm (MD5), Advanced Encryption Standard-128 bits (AES), and Stenography. The proposed approach has been evaluated using set of image quality metrics for testing the impact of embedding the protection code on image quality. The evaluation results proved that protecting image based on Least Significant Bit (LSB) is the best technique that keep image quality compared with other two bit-substitution methods. Moreover, the results proved the superiority of the proposed approach compared with other technique in the literature.

翻译：由于先进的数字成像装置的普及,数字图像的伪造成为更严重的攻击模式。在这种攻击情景中,攻击者试图操纵数字图像,为恶意目的隐藏真实图像的某些有意义的信息。这提高了保护图像不受完整性篡改的安全利益。本文件提出了一种保护彩色图像免遭伪造和像素篡改的新技术。拟议方法设计为三种安全技术,即信息文摘集算法(MD5)、高级加密标准128比特(AES)和速记的混合模型。对拟议方法的评估使用了一套图像质量衡量标准,以测试嵌入保护代码对图像质量的影响。评价结果证明,以最小比特(LSB)为基础的保护图像是保持图像质量的最佳技术,而与其他两种比重替代方法相比。此外,结果证明拟议方法优于文献中的其他技术。