HASH MD5 function implementation at 8-bit microcontroller

Aziz, Mochamad Vicky Ghani; Wijaya, Rifki; Prihatmanto, Ary Setijadi; Henriyan, Diotra

doi:10.1109/rict-icevt.2013.6741530

Cited by 8 publications

(2 citation statements)

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“…Extreme Binning is a new technique for scalable and parallel deduplication that was established by Kave Eshghil et al (9) It is particularly well-suitable for workloads that comprise distinct files with low locality. With such a workload, current methods that depend on locality to guarantee a fair throughput perform badly.…”

Section: Literature Surveymentioning

confidence: 99%

Big Data De-duplication using modified SHA algorithm in cloud servers for optimal capacity utilization and reduced transmission bandwidth

Bhojan,

Rajagopal,

Ramesh

2024

Data and Metadata

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Data de-duplication in cloud storage is crucial for optimizing resource utilization and reducing transmission overhead. By eliminating redundant copies of data, it enhances storage efficiency, lowers costs, and minimizes network bandwidth requirements, thereby improving overall performance and scalability of cloud-based systems. The research investigates the critical intersection of data de-duplication (DD) and privacy concerns within cloud storage services. Distributed Data (DD), a widely employed technique in these services and aims to enhance capacity utilization and reduce transmission bandwidth. However, it poses challenges to information privacy, typically addressed through encoding mechanisms. One significant approach to mitigating this conflict is hierarchical approved de-duplication, which empowers cloud users to conduct privilege-based duplicate checks before data upload. This hierarchical structure allows cloud servers to profile users based on their privileges, enabling more nuanced control over data management. In this research, we introduce the SHA method for de-duplication within cloud servers, supplemented by a secure pre-processing assessment. The proposed method accommodates dynamic privilege modifications, providing flexibility and adaptability to evolving user needs and access levels. Extensive theoretical analysis and simulated investigations validate the efficacy and security of the proposed system. By leveraging the SHA algorithm and incorporating robust pre-processing techniques, our approach not only enhances efficiency in data de-duplication but also addresses crucial privacy concerns inherent in cloud storage environments. This research contributes to advancing the understanding and implementation of efficient and secure data management practices within cloud infrastructures, with implications for a wide range of applications and industries.

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Section: Literature Surveymentioning

confidence: 99%

Big Data De-duplication using modified SHA algorithm in cloud servers for optimal capacity utilization and reduced transmission bandwidth

Bhojan,

Rajagopal,

Ramesh

2024

Data and Metadata

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“…Kailong Zhang, Member, IEEE, Dafang Zhang, Arnaud de La Fortelle, Member, IEEE, Xiao Wu, and Jean Grégoire et al [3] proposed that Scheduling driverless vehicles with different priorities to pass through intersections efficiently and safely has been becoming an important passing-through intersection (PTI) problem in the field of novel intelligent traffic systems (ITS), which is increasingly becoming cyber-physicalfused and social-service oriented. Considering new emerging features with possible priorities, a novel centralized priority scheduling mechanism is mainly explored in this paper.…”

Section: Related Workmentioning

confidence: 99%

Untitled

2017

IOSR JCE

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Many transportation modes are available in our country but, still transportation is a major issue nowadays in metropolitan cities and urban areas. Increase in number of cars on road leads to many problems such as traffic congestion, health problems, air pollution, environmental degradation etc. This problem can be reduced by using a mechanism called as "Bus sharing or pooling". The aim of the project is to "get Buses into passenger's houses as Call taxi is functioning". This system will avoid traditional route of the buses. Bus pooling is more efficient because of reduces each travelling cost, fuel cost, stress of driving and security to passengers etc.

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An optimum security enabled System‐on‐Chip selection for Internet of Things applications using genetic algorithm modeling

Krishnamoorthy

Kalimuthu

2021

Concurrency and Computation

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Summary The System‐on‐Chip (SoC) is the core component in embedded systems that push toward the evolution of the Internet of Things. The quick growth of embedded SoC devices has a substantial influence to overcome security issues in embedded system design. Since microcontroller‐based systems are security and safety‐critical, this article focuses on security aspects of state‐of‐the‐art microcontrollers through performing design space analysis of several crypto‐core algorithms. These crypto functions are analyzed and compared to identify and implement the appropriate algorithm for on‐chip security. The genetic algorithm (GA) optimization model is utilized for the optimal selection of secured SoC from the commercial devices that are stored in the database. In this work, the fitness function is proposed with various levels such as performance‐centric, security enabled, low operating power, and application‐specific SoC selection. We also validate the GA results by implementing the security benchmarks on resultant devices by analyzing the execution time and performance. The accuracy of the GA‐based optimum SoC selection is estimated using confusion matrix method that produces the accuracy of 89.66%.

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HASH MD5 function implementation at 8-bit microcontroller

Cited by 8 publications

References 0 publications

Big Data De-duplication using modified SHA algorithm in cloud servers for optimal capacity utilization and reduced transmission bandwidth

Big Data De-duplication using modified SHA algorithm in cloud servers for optimal capacity utilization and reduced transmission bandwidth

Untitled

An optimum security enabled System‐on‐Chip selection for Internet of Things applications using genetic algorithm modeling

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