مشخصات مقاله:
عنوان فارسی مقاله:
به سوی امنیت داده مبنی بر DNA در محیط رایانش ابری
عنوان انگلیسی مقاله:
Towards DNA based data security in the cloud computing environment
کلمات کلیدی مقاله:
پردازش ابری، محاسبات DNA، امنیت داده های بزرگ، آدرس مک، قانون تکمیلی، CloudSim
مناسب برای رشته های دانشگاهی زیر:
کامپیوتر
مناسب برای گرایش های دانشگاهی زیر:
امنیت داده، رایانش ابری
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Abstract
Keywords
1. Introduction
2. Background of the proposed scheme
2.1. System model
2.2. Design goals
3. Proposes scheme
3.1. System setup phase
3.2. User registration and login phase
3.3. DNA based big data storage phase
3.3.1. DNA based secret key generation
3.3.2. Big data encryption by using DNA sequence
3.4. Big data access phase
4. Security analysis
4.1. Malware injection
4.2. Side channel attack
4.3. Phishing attack
4.4. Insider attack
4.5. Denial of Service (DoS) attack
5. Performance analysis
5.1. Simulation environment
5.2. Results and discussions
6. Conclusions and future works
Declaration of Competing Interest
References
قسمتی از مقاله انگلیسی:
1. Introduction
Computers are advancing day by day from the era of a vacuum tube to artificial intelligence, which involves many advanced technologies for data communication over the internet. Cloud computing is one of the benchmarks in the era of large-scale computation, where a huge number of distributed and parallel computers are interconnected. Here, many technologies like utility computing, virtualization, network system and distributed processing are combined to allow many services, such as a server, space, network hardware, pay-per-use and many more [1]. There are three main entities in a cloud environment: (i) Data Owner (DO) (iii) Cloud Service Provider (CSP), and (iii) user. Here, many users store their confidential data on the cloud server, and the DOs and users use the cloud services provided by the CSP [2–4]. Managing big data is an important expected capability of today’s cloud environment. Nowadays, big data is considered as one of the sophisticated areas for research. Big data is a large size of data including both unstructured and structured data. It needs to be collected, processed, analyzed and visualized. Big data involves advanced techniques and methods for information extraction and data transformation. However, access control and data security are two major concerns of big data in a cloud environment due to the presence of many attackers and malicious users. Access control can be defined by a technique by which a user or customer can access any data or any kind of service from the cloud server. By an efficient Access Control Model (ACM), the CSP recognizes all the attempts to access any service from the cloud server and allows only the authorized users to access big data or cloud service. Since CSP is the central authority or administrator that manages all the tasks of a cloud server, it should provide a strong security of the user’s confidential or sensitive big data.