Secure NoSQL Based Medical Data Processing and Retrieval

Shetty, Roshan Ramprasad; Mailewa, Akalanka; Mengel, Susan; Vadapalli, Ravi; Khan, Hafiz

doi:10.1145/3147234.3148132

Cited by 12 publications

(15 citation statements)

References 11 publications

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“…Network performance is a crucial factor in any environment. Different applications and services running on the network equate to higher resource utilization and, in turn, can lead to network latency [41] [42] [43]. Since security mechanisms are invasive and consume processing and storage resources, analyzing their impact on network latency and Quality of Service (QoS) is necessary.…”

Section: Latency Analysismentioning

confidence: 99%

A Scalable Framework to Detect, Analyze, and Prevent Security Vulner abilities in Enterprise Software-Defined Networks

Sapkota¹,

Mailewa²

2022

Int. J. Res. Publ. Rev.

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Software Defined Networking (SDN) is a rapidly growing technology that is enabling innovation on how network systems are designed and managed. Like any other technology, SDN is susceptible to numerous security threats. The separation of planes and centralized control topology of SDN makes it vulnerable to myriad of attacks. There has been rapid implementation of SDN in variety of networks and this is only growing with time. There are only handful of resources for enterprise networks that are actively transitioning their networks to SDN and require security specification.This paper proposes a security framework that integrates basic security requirements for SDN. First, the security vulnerabilities are identified by assessing the SDN topology. This provides understanding of the issue which is utilized to implement security mechanisms that help mitigate the vulnerabilities. The framework utilizes open-source tools and techniques and integrates well-known security mechanisms. Throughout the paper, the proposed framework is implemented and tested for its success in satisfying some of the basic and crucial security requirements. In doing so, this research offers viable security mechanisms for enterprise networks that are looking for performance and cost-effective security solutions.

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Section: Latency Analysismentioning

confidence: 99%

A Scalable Framework to Detect, Analyze, and Prevent Security Vulner abilities in Enterprise Software-Defined Networks

Sapkota¹,

Mailewa²

2022

Int. J. Res. Publ. Rev.

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“…• Brute Force Attack or Dictionary Attack This is the basic attack where the attacker will try all the combinations of the password to access the data of the users. Th e more length of the password the more time it will take for the user to hack/attack to guess the correct one [28].…”

Section: Authentication Attacksmentioning

confidence: 99%

Data Integrity Attacks in Cloud Computing: A Review of Identifying and Protecting Techniques

Kaja¹,

Fatima²,

Mailewa³

2022

Int. J. Res. Publ. Rev.

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Cloud computing is growing tremendously in recent years. Many organizations are switching their traditional computing model to a cloud based because of its low cost and pay-as-you-go manner. Although Cloud Service Provider (CSP) ensures that the data stored in their remote cloud server will be intact and secure. But there are many data integrity issues exist that needed to be addressed. In Cloud environment, lack of data integrity is a major concern. In this paper, we have surveyed several past studies which identifies the issues related to the cloud data storage security such as data theft, unavailability, and data breach of cloud server data. We have also provided a detailed analysis of types of data integrity attacks and their mitigation techniques.

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“…During the Header mapping stage, the data processing stage defines and populates a collection to keep track of the headers and the files in which they are present while the data loading process is building the data dictionary. This metadata is particularly important during the retrieval stage [2,[21][22][23][24].…”

Section: Privacy Preserving Data Extractions Transmissions and Loadingsmentioning

confidence: 99%

“…However, data analysts have been struggling to gain insight from raw data because of the differences in data formats. Furthermore, data must be secured and privacy-assured despite the continuous addition of more data including those that are de-identified but still protected personal health records [2]. Currently, a transdisciplinary team is in the process of implementing a secure system to convert these data and store these various data formats in the MongoDB database for further analysis of the TTU EXPOSOME Project data.…”

Section: Introductionmentioning

confidence: 99%

Mechanisms and Techniques to Enhance the Security of Big Data Analytic Framework with Mongodb and Linux Containers

Mailewa

Mengel

Khan³

2021

SSRN Journal

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Secure NoSQL Based Medical Data Processing and Retrieval

Cited by 12 publications

References 11 publications

A Scalable Framework to Detect, Analyze, and Prevent Security Vulner abilities in Enterprise Software-Defined Networks

A Scalable Framework to Detect, Analyze, and Prevent Security Vulner abilities in Enterprise Software-Defined Networks

Data Integrity Attacks in Cloud Computing: A Review of Identifying and Protecting Techniques

Mechanisms and Techniques to Enhance the Security of Big Data Analytic Framework with Mongodb and Linux Containers

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