Innovative Secure Authentication Interface for Hadoop Cluster Using DNA Cryptography: A Practical Study

Balaraju, J.; Rao, P. Venkateswara

doi:10.1007/978-981-15-2475-2_3

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…This method utilizes reduced computations and offers improved security compared to existing authentication methods. A comparative study has been conducted, which includes tokenbased authentication as well as other authentication methods like Kerberos, Secure Authentication interface, and DNA Authentication [20] [21].…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, using fewer elements reduces the passage space, resulting in a larger convex hull. [9] in their study, highlighted the challenging nature of big data storage, safety, and security. Rather than opting for alternative big data technologies, the Hadoop framework emerges as a viable solution to address these concerns.…”

Section: Problem Definitionmentioning

confidence: 99%

“…In their method, users are required to click on approximate regions of a specific image to gain access to predetermined destinations. Passlogix further enhanced this concept by introducing the verification of legitimacy through the correct sequence of clicking on different items.. [11] in their study, delve into the topic of authentication security measures in Hadoop and Spark. They explore the utilization of third-party security providers like Kerberos and Apache Knox, which come with a notable computational burden in safeguarding data.…”

Section: Problem Definitionmentioning

confidence: 99%

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Enhancing Data Security in SPARK Cluster: A Novel Symbol-based Authentication Approach

J.Balaraju

2024

cana

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User authentication is the process of confirming an individual's identity prior to granting them access to a connected device, an online service, or any other valuable resource. Its importance lies in its capability to protect data, applications, and networks for organizations by restricting access to authorized individuals or approved processes. In this study, the widely used Apache Spark technology was employed for storing and analyzing vast amounts of data, and a unique authentication framework was introduced. A dynamic symbol selection authentication offers a promising alternative to traditional alphanumeric passwords, as well as biometric and facial authentications. This authentication method has been thoroughly tested in the highly distributed Apache Spark cluster. The implementation utilizes SHA512 cryptography in various ways and compares the results with existing authentication and machine learning algorithms. The authentication scheme, combined with the powerful Apache Spark distributed system consisting of 10 nodes, yielded exceptional outcomes.

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Section: Resultsmentioning

confidence: 99%

Section: Problem Definitionmentioning

confidence: 99%

Section: Problem Definitionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Data Security in SPARK Cluster: A Novel Symbol-based Authentication Approach

J.Balaraju

2024

cana

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“…The purpose of the IDS is to identify the intrusions in the system or the computer network by analysing the actions of the user in relation to their intended usage [26]. It includes fraud, accessing data on the network, trying to prevent the system from working properly or actually crashing the software.…”

Section: Proposed Methodologiesmentioning

confidence: 99%

A Comprehensive Analysis on Numerous Learning Models for Intrusion Detection for Security Conservation

Sri¹,

Peddireddy²,

Madamanchi³

et al. 2022

RIA

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The term intrusion refers to a series of behaviours that exposes computer networks and systems' security to compromises. Corrective action on the network cannot go on without intrusion detection. IDS and IDS is the framework used to detect network traffic intrusions, which is how the network control mechanism identifies potential intrusions. Security breaches are designed to undermine one or more of the network's three primary security goals: privacy, availability, and trust. To get access to a system, an attacker must follow a predetermined set of procedures. Once inside, they can begin gathering data such as the protocol being used and the network resources available. There are many ways for a hacker to find out what systems are available on the network and how vulnerable they are to attacks. The rapid advancement of network technology necessitated IDS to focus on the detection of assaults using contextual analysis from signature matching processes. Using machine learning to detect and prevent intrusions, the IDS is a critical part of protecting data systems. Network intrusion detection is the focus of this paper, which examines and shows various machine learning techniques.

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“…Machine Learning and Deep Learning is becoming increasingly popular in health informatics [21], [23][24], [27-29] [31]. Further Compute-Intensive Large Scale Servers and Cloud Storage could optimize the effectiveness in terms of storage and transmission which will be secure for such data systems in future development efforts [19], [20], [22], [25].…”

Section: Introductionmentioning

confidence: 99%

Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning

Shinde¹,

Rajarajeswari²

2021

IJACSA

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Innovative Secure Authentication Interface for Hadoop Cluster Using DNA Cryptography: A Practical Study

Cited by 8 publications

References 20 publications

Enhancing Data Security in SPARK Cluster: A Novel Symbol-based Authentication Approach

Enhancing Data Security in SPARK Cluster: A Novel Symbol-based Authentication Approach

A Comprehensive Analysis on Numerous Learning Models for Intrusion Detection for Security Conservation

Time Line Correlative Spectral Processing for Stratification of Blood Pressure using Adaptive Signal Conditioning

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