Big data system to Protect corporate networks and sensitive information using User and entity behavior analytics

These days, there is an emerging pattern in both large corporations and smaller businesses ofemployees conducting business from their homes. The majority of workers are now completingtheir duties at home. Under this operational model, there has been an increase in theproductivity of workers, but there has also been the emergence of a new challenge forbusinesses, which is to secure the integrity of their data as well as their systems. As is wellknown, the safety of a company's technological systems and the reliability of its data are bothof the utmost importance to that company. A significant amount of capital is being invested bybusinesses in the protection of their information and computer systems. Since it is commonknowledge that many employees are now working from home in the wake of COVID, securingthe data and the system is made more difficult by the fact that employees are working awayfrom the physical locations of their employers. Therefore, it is very difficult to ensure that aworker's laptop is kept in a secure environment And even we don’t know about the activities ofemployees. Employee who currently work or have worked in the past for an organization andwho have authorized access to its networks, systems, and/or data. However, instead offulfilling their duties, these individuals use their privileged position to carry out malicious actsthat may include theft of intellectual property or information. To address this security threat,many enterprise organizations are actively seeking to develop and implement solutions todetect and prevent insider threats. Absence of monitoring or control Any cybercriminal cansteal sensitive information by hacking into the employees laptop and gaining access to it.Even though many businesses have firewalls and numerous SIEM systems in place to protecttheir data, there are still frequent instances of security flaws occurring in these businesses. Inorder to solve this issue, we make use of the User and Entity Behavior Analysis (UEBA)method and put into action some clever solutions by combining big data tools, machinelearning, and deep learning models.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-21
DOI
https://doi.org/10.5281/zenodo.15253598
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big data system to Protect corporate networks and sensitive information using User and entity behavior analytics

Zenodo (CERN European Organization for Nuclear Research)
Internet of Things and AI
article

Big data system to Protect corporate networks and sensitive information using User and entity behavior analytics

article en

Abstract

These days, there is an emerging pattern in both large corporations and smaller businesses ofemployees conducting business from their homes. The majority of workers are now completingtheir duties at home. Under this operational model, there has been an increase in theproductivity of workers, but there has also been the emergence of a new challenge forbusinesses, which is to secure the integrity of their data as well as their systems. As is wellknown, the safety of a company's technological systems and the reliability of its data are bothof the utmost importance to that company. A significant amount of capital is being invested bybusinesses in the protection of their information and computer systems. Since it is commonknowledge that many employees are now working from home in the wake of COVID, securingthe data and the system is made more difficult by the fact that employees are working awayfrom the physical locations of their employers. Therefore, it is very difficult to ensure that aworker's laptop is kept in a secure environment And even we don’t know about the activities ofemployees. Employee who currently work or have worked in the past for an organization andwho have authorized access to its networks, systems, and/or data. However, instead offulfilling their duties, these individuals use their privileged position to carry out malicious actsthat may include theft of intellectual property or information. To address this security threat,many enterprise organizations are actively seeking to develop and implement solutions todetect and prevent insider threats. Absence of monitoring or control Any cybercriminal cansteal sensitive information by hacking into the employees laptop and gaining access to it.Even though many businesses have firewalls and numerous SIEM systems in place to protecttheir data, there are still frequent instances of security flaws occurring in these businesses. Inorder to solve this issue, we make use of the User and Entity Behavior Analysis (UEBA)method and put into action some clever solutions by combining big data tools, machinelearning, and deep learning models.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Internet of Things and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.