A Secure E-commerce Environment Using Multi-agent System

Hussien, Farah Tawfiq Abdul; Rahma, Abdul Monem S.; Wahab, Hala Bahjat Abdul

doi:10.32604/iasc.2022.025091

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…This work focuses on protecting text within videos. In this instance, the attacker is unclear that the video contains text 11 . As a result, the attacker won't make an effort to obtain its original text.…”

Section: Implementing Certain Encryption and Steganography Techniques...mentioning

confidence: 99%

A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm

Fadhil,

Hussien,

Khairi

et al. 2024

Baghdad Sci.J

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Text encryption in video is a vital tool in many industries where protecting sensitive information is of highest concern. Algorithms and automated detection methods commonly struggle to locate hidden text in video frames. This resistance increases the security of the concealed information because it is challenging for uninvited parties to detect the presence of encrypted text. This research suggests a novel method for text encryption inside video utilizing the Salsa20 encryption algorithm and Harris Corner Detection. The goal of this study is to increase the secrecy and security of textual information that is embedded in video content. First step is locateing important corners or spots inside the video frames, the Harris Corner Detection method is first used. These corners act as strong feature points that can be used to incorporate text. Without degrading the video's overall visual quality, the Harris Corner Detection method aids in precisely localizing the places where text may be concealed. Second, the encryption key is generated using the Salsa20 encryption technique. Salsa20 is a popular stream cipher that offers reliable encryption and effective operation. The embedded text is converted into a cipher text by XOR it with the encryption key before embedding it in the video, guaranteeing its confidentiality and protecting it from unauthorized access. Comparing the suggested method to current text encryption methods reveals a number of advantages. The Harris Corner Detection technique integrates text into video frames so that it blends in less noticeably, making it more difficult for adversaries to identify the existence of hidden information. Salsa20's use further guarantees the encrypted text's high level of security and protection, defending it against potential attacks. The proposed system is evaluated using MSE, PSNR, correlation, NPCR, UACI and entropy, these evaluation metrics provide excellent results.

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Section: Implementing Certain Encryption and Steganography Techniques...mentioning

confidence: 99%

A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm

Fadhil,

Hussien,

Khairi

et al. 2024

Baghdad Sci.J

View full text Add to dashboard Cite

show abstract

“…As mentioned earlier, there are many different methods for encryption purposes, the symmetric, asymmetric and the hybrid ones [11]. Symmetric encryption methods use only one key for encryption as well as decryption [12].…”

Section: Symmetric and Asymmetric Encryptionmentioning

confidence: 99%

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Hussien

Khairi

2023

Int. J. Interact. Mob. Technol.

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I n these days of technology, the usage of images has become increasingly high especially now that almost everyone has access to internet. Also, image helps us to learn, grabs our attention, explains complicated concepts as well as inspires us. Sharing these images is essential and therefore image encryption algorithms are proposed to secure the transmission of these image from many types of attacks such as Man-in-the-middle attack (MITM). In this paper, we proposed a hybrid security system that consist of Elliptic Curve Cryptography (ECC) and Advanced Encryption System (AES). Where ECC is used to generate private/public keys and AES is for encryption and decryption of the image using the ECC generated keys. The system works as follows; it begins by inserting the image to be encrypted which is “lena.png” of size 256*256 and passing it to AES Algorithm along with the generated public key. Then, in AES algorithm, the public key is hashed then used to encrypt the image with AES encryption algorithm. On the other hand, the decryption algorithm works as follows; inserting the encrypted image then calculating the decryption key to use it to decrypt the image using AES decryption algorithm. Finally, our experimental results shows that the National Institute of Standards and Technology (NIST) test shows that the ECC generated keys have better randomness than using only AES generated keys. Also, the encrypted image histogram show that the image pixels values are well distributed across all three channels R, G and B. This shows that the hybrid system is a step further to get a more secure image encryption system against attacks with the generated ECC keys. To get further, Logistic chaotic map has been used to encrypt images for comparison purposes with AES and ECC generated images in terms of randomness, security and histogram

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“…Currently, the e-commerce technologies are critical in supplying a diverse range of products and services [1]. Because of the services provided by these systems, the number of clients working with these systems is quickly expanding [2], [3]. As a result, the volume of data transferred via the internet has risen [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Structureal Deasign of Secure E-Commerce Websites Employing Multi-Agent System

Abdul Hussien,

S. Rahma,

Bdul Wahab

2022

J. Al-Qadisiyah Comp. Sci. Math.

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The vast growth in electronic trading and monetary transactions results to increase the importance of E-commerce applications rapidly. In order to accomplish the fully functioning, reliable, scalable, secure, efficient and user-friendly E-commerce applications, sufficient system analysis and design processes are important. Shopping over the internet requires offering secure payment method. Providing security for each individual online consumer at the same time (particularly for large websites) is a time-consuming effort that can result in a variety of issues, including response delays, customer orders being lost, and system freeze or crash, all of which impair system performance. This work seeks to present a new multi-agent system prototype structure that solves the challenge of security while avoiding issues that might degrade system performance. By creating integrated system taking into account the three parties the e-commerce, the e-bank and the customer, the main concentration is to create an archeticture that helps in decreasing the website traffic and supportng the security with effective performance. To simulate the real systems a recommendation system is created based on the customer behaviors to increase system performance in helping the customers to find their favorite products and solve problems like cold start, sparsity of user‐item matrix, scalability, and changes in user interest. This is done by creating a commercial environment (e-commerce and e-bank websites) and a software agent that is installed on the client's device to handle the purchase and ciphering procedures without the need for the consumer to intervene. The security process involve preprocessing phase followed by a modified lightweight AES employing chaotic tent map to generate encryption key.

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A Secure E-commerce Environment Using Multi-agent System

Cited by 5 publications

References 44 publications

A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm

A Proposed Text Encryption inside Video Using Harris Corner Detection and Salas20 Encryption Algorithm

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Structureal Deasign of Secure E-Commerce Websites Employing Multi-Agent System

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