Security analysis of unstructured data in NOSQL MongoDB database

Kumar, Jitender; Garg, Varsha

doi:10.1109/ic3tsn.2017.8284495

Cited by 19 publications

(5 citation statements)

References 4 publications

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“…This study [14] highlighted data vulnerabilities brought on by SQL injection and DoS attacks. In this way, symmetric algorithms like DES, AES, and Blowfish can be used to alleviate and even solve these security problems.…”

Section: Fig 1 a Model Of Cybercrime For Multi-levelmentioning

confidence: 98%

The Design, Use and Impact of Cloud Computing During the Covid-19 Crises

Jamali,

Kansro,

Chandio

et al. 2022

VFAST trans. softw. eng.

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The incidence and severity of cybercrime have increased recently, and worries about personal data protection are widespread. Cybercriminals are taking advantage of the COVID-19 pandemic's crucial reliance on cloud computing emerging virtual environments by organizations and individuals. One of the biggest issues is the security of data that is stored and transmitted over the cloud. It is crucial to protect the privacy of data stored by Cloud Service Providers since in the Cloud, private and confidential information is kept on external servers and hidden from Cloud Service Users. Concerns regarding the safety of personal data are pervasive, and cybercrime has lately grown in frequency and severity. The various researchers presented their work of vulnerabilities of the data security over the cloud environment and provides encryption data at rest with symmetric key cryptography where the same secret key is used for encryption and decryption. This research takes a different strategy than that which has previously been suggested by other researches. An application-level security is proposed instead of data at rest encryption to safely store data at rest. In the public cloud computing environment, our developed system guarantees the privacy and confidentiality of data while it is at rest. In order to guarantee data security against hostile infiltration, the system also ensured that data must be safeguarded during, and after a transaction while it is being stored on the cloud storage. It can be inferred from the result that our system, when compared to other symmetric algorithms with less consistent behavior and scatter of value from mean, took less time to perform cryptographic operations.

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Section: Fig 1 a Model Of Cybercrime For Multi-levelmentioning

confidence: 98%

The Design, Use and Impact of Cloud Computing During the Covid-19 Crises

Jamali,

Kansro,

Chandio

et al. 2022

VFAST trans. softw. eng.

View full text Add to dashboard Cite

show abstract

“…MongoDB is a NoSQL DBMS. NoSQL has advantages over other DBMSs, including high performance and high scalability [19].…”

Section: Rest Server Designmentioning

confidence: 99%

Analysis and Implementation of Microservice Architecture Related to Patient Drug Schedule Based on FHIR Standard

Ramadhani

Rakhmatsyah

Yasirandi

2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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“…Security of sharded NoSQL databases. Kumar et al [24] proposed a solution for the lack of data encryption of MongoDB instances, comparing encryption techniques and their impact on the database performance. Hou et al [21] and Ron et al [36], investigated the sources of security vulnerabilities created by NoSQL injection attacks.…”

Section: Related Workmentioning

confidence: 99%