scholarly journals Image Cryptographic Application Design using Advanced Encryption Standard (AES) Method

2018 ◽  
Author(s):  
Nur Afifah ◽  
Aris Fanani ◽  
Yuniar Farida ◽  
Putroue Keumala Intan
Keyword(s):  
Advanced Encryption Standard ◽  
Application Design

Implementasi Enkripsi dan Otentikasi Transmisi Data ZeroMQ Menggunakan Advanced Encryption Standard

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
I Made Sukarsa ◽  
I Made Rama Pradana ◽  
Putu Wira Buana
Keyword(s):  
Direct Observation ◽  
Advanced Encryption Standard ◽  
Message Delivery ◽  
Normal Delivery ◽  
Delivery Performance ◽  
Data Message ◽  
Encryption And Authentication ◽  
Block Chaining

Communication via sockets is used to transmit information between applications or between processes over network or locally. ZeroMQ is a library for sending messages using sockets that are quite well known. Talking about sending data, message security is an important part that needs to be taken into account, especially when sending data over a network. ZeroMQ sends messages openly without securing the messages sent. This is evidenced by research which states that ZeroMQ does not have a security layer for sending messages over the network and direct observation of message packets using the wireshark application. Therefore, this study creates a method of securing and authenticating message delivery using AES (Advanced Encryption Standard) CBC (Cipher Block Chaining) mode combined with an authentication method. The AES CBC mode was chosen because it is faster than other methods and has strong encryption. This encryption and authentication are used so that the sender and recipient of the message are both valid senders and recipients so that no message changes during message delivery and messages can only be opened by the message recipient and the sender of the message. Tests are conducted to measure the effect of encryption and authentication on message delivery performance. Based on the tests conducted, there is an increase of 7% from normal delivery speed and the potential for messages is not up to 0.3% - 1.5%.

Differential electromagnetic analysis on advanced encryption standard (AES)

2009 ◽  
Vol 29 (8) ◽  
pp. 2200-2203
Author(s):  
Guo-liang DING ◽  
Zhi-xiang LI ◽  
Wen-long YING ◽  
Qiang ZHAO
Keyword(s):  
Advanced Encryption Standard ◽  
Electromagnetic Analysis

An Efficient Modified Advanced Encryption Standard (MAES) Adapted for Image Cryptosystems

2010 ◽  
Vol 7 (7) ◽  
pp. 1-11
Author(s):  
Abdulkarim Shtewi ◽  
Bahaa Eldin Hasan ◽  
Abd El Fatah Hegazy
Keyword(s):  
Advanced Encryption Standard

Synthesising Privacy by Design Knowledge Toward Explainable Internet of Things Application Designing in Healthcare

2021 ◽  
Vol 17 (2s) ◽  
pp. 1-29
Author(s):  
Lamya Alkhariji ◽  
Nada Alhirabi ◽  
Mansour Naser Alraja ◽  
Mahmoud Barhamgi ◽  
Omer Rana ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Conceptual Understanding ◽  
Knowledge Engineering ◽  
Privacy Preserving ◽  
Design Knowledge ◽  
Privacy By Design ◽  
Healthcare Applications ◽  
Software Developers ◽  
Healthcare Application ◽  
Application Design

Privacy by Design (PbD) is the most common approach followed by software developers who aim to reduce risks within their application designs, yet it remains commonplace for developers to retain little conceptual understanding of what is meant by privacy. A vision is to develop an intelligent privacy assistant to whom developers can easily ask questions to learn how to incorporate different privacy-preserving ideas into their IoT application designs. This article lays the foundations toward developing such a privacy assistant by synthesising existing PbD knowledge to elicit requirements. It is believed that such a privacy assistant should not just prescribe a list of privacy-preserving ideas that developers should incorporate into their design. Instead, it should explain how each prescribed idea helps to protect privacy in a given application design context—this approach is defined as “Explainable Privacy.” A total of 74 privacy patterns were analysed and reviewed using ten different PbD schemes to understand how each privacy pattern is built and how each helps to ensure privacy. Due to page limitations, we have presented a detailed analysis in Reference [3]. In addition, different real-world Internet of Things (IoT) use-cases, including a healthcare application, were used to demonstrate how each privacy pattern could be applied to a given application design. By doing so, several knowledge engineering requirements were identified that need to be considered when developing a privacy assistant. It was also found that, when compared to other IoT application domains, privacy patterns can significantly benefit healthcare applications. In conclusion, this article identifies the research challenges that must be addressed if one wishes to construct an intelligent privacy assistant that can truly augment software developers’ capabilities at the design phase.

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