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Journal articles on the topic 'Endpoint security'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Gundaboina, Anjan. "Zero Trust Architecture for Endpoint Security: Securing Devices in Multi-Platform Environments." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 2398–407. https://doi.org/10.21275/sr25047220126.

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2

Clement, Miles. "Issues in endpoint security." Network Security 2007, no. 11 (2007): 17–18. http://dx.doi.org/10.1016/s1353-4858(08)70042-4.

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3

Sandeep, Phanireddy. "Next-Gen Endpoint Security with AI: Challenges and Solutions." International Journal of Leading Research Publication 3, no. 12 (2022): 1–7. https://doi.org/10.5281/zenodo.14960370.

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Endpoint security has become a critical piece of modern cyber defense, especially as companies adopt remote work models and handle sensitive data across vast networks. Traditional antivirus solutions are no longer enough to thwart sophisticated attacks, prompting the rise of AI-powered endpoint protection platforms. This paper explores the capabilities of Zscaler, Carbon Black, CrowdStrike, and open-source solutions in securing endpoints. We discuss how these tools incorporate machine learning, anomaly detection, and threat intelligence to block and contain breaches in real time. Key use cases

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4

Sri, Kanth Mandru. "Explainable AI for Endpoint Security Threat Analysis." European Journal of Advances in Engineering and Technology 11, no. 1 (2024): 56–63. https://doi.org/10.5281/zenodo.13325168.

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The threat of different cyber threats as well as the development of new sophisticated malware necessitates the use of modern security measures to protect endpoint devices. One of the key promising approaches for enhancing the endpoint protection is Applying Explainable Artificial Intelligence (XAI) that provides a comprehensible explanation for identifying potential threats. This undergoing researching paper aims to identify and discuss how or whether XAI can help conduct security threats at endpoints and how it can identify and mitigate complex cyber threats while at the same time simplifying

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5

Wala, Fatema Bannat, and Chase Cotton. "Unconstrained Endpoint Security System : UEPTSS." International Journal of Network Security & Its Applications 10, no. 2 (2018): 01–12. http://dx.doi.org/10.5121/ijnsa.2018.10201.

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6

Mohammed, Mujtaba, A. Omair Aseel, A. Zowaid Rawan, and S. Ahmed Zaki. "Enhance Cyber Security with EDR and XDR Solutions." International Journal of Computer Science and Information Technology Research 11, no. 3 (2023): 128–32. https://doi.org/10.5281/zenodo.8285623.

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<strong>Abstract:</strong> Endpoint security is a critical aspect of modern cybersecurity, as endpoints are often the primary targets for malicious attacks, and organizations are continuously seeking innovative approaches to strengthen their security defenses. Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) solutions have shown significant improvements in enhancing endpoint security. This review paper provides few important guidelines while selecting these tools, planning the implementation, few limitation and recommendations based on general industry observatio

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Sri, Kanth Mandru. "Explainable AI for Endpoint Security Threat Analysis." European Journal of Advances in Engineering and Technology 11, no. 1 (2024): 56–63. https://doi.org/10.5281/zenodo.13253288.

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The threat of different cyber threats as well as the development of new sophisticated malware necessitates the use of modern security measures to protect endpoint devices. One of the key promising approaches for enhancing the endpoint protection is Applying Explainable Artificial Intelligence (XAI) that provides a comprehensible explanation for identifying potential threats. This undergoing researching paper aims to identify and discuss how or whether XAI can help conduct security threats at endpoints and how it can identify and mitigate complex cyber threats while at the same time simplifying

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8

Rohith Aitharaju. "Integrating Endpoint Security into DevSecOps: Automation and compliance at scale." International Journal of Science and Research Archive 4, no. 1 (2021): 363–72. https://doi.org/10.30574/ijsra.2021.4.1.0206.

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Since organizations are moving more quickly toward digital transformation, security needs to become a key part of software development. In this paper, we look at embedding endpoint security in DevSecOps to ensure automation, scalability and continued compliance. Traditionally, endpoints are vulnerable due to scattered ways of applying security and lengthy detection. Making use of telemetry agents, policy-as-code and automated remediation in both CI/CD and infrastructure deployment processes allows organizations to protect themselves in advance. The results highlight that combining these approa

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9

Akilnath, Bodipudi. "Protecting Devices and Data with Modern Endpoint Security Solutions." Journal of Scientific and Engineering Research 8, no. 6 (2021): 179–84. https://doi.org/10.5281/zenodo.13595065.

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In today's increasingly interconnected digital landscape, endpoint security has emerged as a critical component in safeguarding sensitive data and devices across various sectors. This paper explores the intricacies of endpoint security within the IT domain, highlighting the unique challenges and effective solutions for protecting devices and data. We delve into specific case studies that illustrate how financial institutions have successfully implemented endpoint security measures to safeguard their data. These case studies offer insights into practical applications and strategies that can be

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10

Driever, P. G., R. Hathorn, and C. Colonna. "Securing the enterprise SAN with IBM Fibre Channel Endpoint Security." IBM Journal of Research and Development 64, no. 5/6 (2020): 4:1–4:8. http://dx.doi.org/10.1147/jrd.2020.3008146.

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11

Forte, Dario. "Endpoint and perimeter security: a new symbiosis." Network Security 2006, no. 6 (2006): 7–8. http://dx.doi.org/10.1016/s1353-4858(06)70398-1.

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12

Mohamed, Alaa. "Securing Endpoint API Integration in Cloud-Based Healthcare Systems: Challenges, Solutions, and Future Directions." International Journal of Computers and Informatics 3, no. 10 (2024): 193–212. http://dx.doi.org/10.59992/ijci.2024.v3n10p6.

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This paper presents an in-depth analysis of the challenges, solutions, and prospects of endpoint API integration in modern software development, with a specific focus on securing cloud-based healthcare systems. Endpoint API integration plays a crucial role in enabling seamless communication and data exchange between different systems. However, it also presents several challenges that need to be addressed to ensure successful integration and optimal system performance, especially in healthcare. This paper explores the challenges encountered in endpoint API integration, such as security concerns

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13

Sigalov, D. A., A. A. Khashaev, and D. Yu Gamayunov. "DETECTING SERVER-SIDE ENDPOINTS IN WEB APPLICATIONS BASED ON STATIC ANALYSIS OF CLIENT-SIDE JavaScript CODE." Prikladnaya Diskretnaya Matematika, no. 53 (2021): 32–54. http://dx.doi.org/10.17223/20710410/53/3.

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The problem of server-side endpoint detection in the context of blackbox security analysis of dynamic web applications is considered. We propose a method to increase coverage of server-side endpoint detection using static analysis of client-side JavaScript code to find functions which generate HTTP requests to the server-side of the application and reconstruct parameters for those functions. In the context of application security testing, static analysis allows to find such functions even in dead or unreachable JavaScript code, which cannot be achieved by dynamic crawling or dynamic code analy

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14

Sri Harsha Koneru. "Securing the Modern Healthcare Ecosystem: Endpoint Management for Medical Environments." Journal of Computer Science and Technology Studies 7, no. 4 (2025): 71–78. https://doi.org/10.32996/jcsts.2025.7.4.8.

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This comprehensive article explores the evolving landscape of endpoint management in healthcare environments, examining how Unified Endpoint Management (UEM) solutions address the unique security challenges faced by medical institutions. The article investigates the complex balancing act healthcare organizations must perform between maintaining robust security controls and enabling efficient clinical workflows across thousands of diverse endpoints. It details how cloud-based UEM platforms provide centralized device registration, automated compliance verification, and identity-driven access con

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15

Sri, Kanth Mandru. "Machine Learning and AI in Endpoint Security: Analyzing the use of AI and machine learning algorithms for anomaly detection and threat prediction in endpoint security." Journal of Scientific and Engineering Research 8, no. 3 (2021): 264–70. https://doi.org/10.5281/zenodo.13348299.

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<strong> </strong>Endpoint security has sought to advance its relationship with AI and Machine Learning to improve the estimation and identification of threats and anomalies. The limitation of conventional security models is discussed in this paper. In the modern era of technology, security is changing and multifaceted, and the possibilities of AI-based security models are preferable. In concept separation to enhance the precision of irregularity detection and decrease the number of false positives and negatives, various techniques, such as classifiers, including clusters, ng, neural netw

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16

Kim, Jin. "IP Spoofing Detection Technique for Endpoint Security Enhancement." Journal of Korean Institute of Information Technology 15, no. 8 (2017): 75–83. http://dx.doi.org/10.14801/jkiit.2017.15.8.75.

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17

Koneru, Sri Harsha. "Cloud-Based Digital Twins: Revolutionizing Endpoint Infrastructure Management." European Journal of Computer Science and Information Technology 13, no. 23 (2025): 96–114. https://doi.org/10.37745/ejcsit.2013/vol13n2396114.

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This article explores the emerging paradigm of cloud-based digital twins for endpoint infrastructure simulation, which represents a significant advancement in enterprise IT management. In today's complex enterprise environments characterized by distributed workforces and diverse device ecosystems, organizations face mounting challenges in managing endpoint infrastructure securely and efficiently. Digital twins—virtual replicas of physical endpoint environments—enable IT teams to conduct comprehensive testing of updates, security controls, and configuration changes before deployment to producti

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18

Park, Ui Hyun, Jeong-hyeop Hong, Auk Kim, and Kyung Ho Son. "Endpoint Device Risk-Scoring Algorithm Proposal for Zero Trust." Electronics 12, no. 8 (2023): 1906. http://dx.doi.org/10.3390/electronics12081906.

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The rapid expansion of remote work following the COVID-19 pandemic has necessitated the development of more robust and secure endpoint device security solutions. Companies have begun to adopt the zero trust security concept as an alternative to traditional network boundary security measures, which requires that every device and user be considered untrustworthy until proven otherwise. Despite the potential benefits of implementing zero trust, the stringent security measures can inadvertently lead to low availability by denying access to legitimate users or limiting their ability to access neces

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19

Kaur, Harmionee, and Richa Tiwari. "Endpoint detection and response using machine learning." Journal of Physics: Conference Series 2062, no. 1 (2021): 012013. http://dx.doi.org/10.1088/1742-6596/2062/1/012013.

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Abstract The need for cybersecurity has increased manifold over the past decade due to an unprecedented shift towards digital. With the increase in the number and sophistication of threats, cybersecurity experts have been forced to seek out new and efficient ways to secure endpoints on a network. Machine learning provides one such solution. This paper discusses how IoT devices are threatened and the need for endpoint security. It overviews different Machine learning-based intrusion detection systems that are currently in use e.g., STAT, Haystack, etc., and other Endpoint Detection and Response

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20

Shi, Shu Hui, Zao Ping Li, and Ya Feng Liu. "Enhancing Endpoint Trusted Connect Using Lightweight Virtualization." Applied Mechanics and Materials 631-632 (September 2014): 165–70. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.165.

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With the computer technology boomingly developing and the internet applications gradually spreading all over the world, more and more requirements of endpoint user acquires all kinds of resources via different security level networks. TCG provides approaches to prevent endpoint device from being ruined. However, more NARs on a single physical platform handle connections to different networks which lead to security problems, due to tightly coupled of NARs. In this paper, a lightweight trusted connect framework based hardware-level virtualization is proposed. And we illustrate core implement wit

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21

Uzzaman, Arif, and . "End-Point Information Security in the Healthcare Industry: A Critical Review." International Journal of Engineering & Technology 7, no. 4.36 (2018): 338. http://dx.doi.org/10.14419/ijet.v7i4.36.23799.

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The ability of the healthcare industry to keep abreast with the evolving trends in endpoint information security depends on combinations of measures. In the current literature, some of these measures include the development of analytics capable of spotting intruders on time, embracing quick reactions to potential or detected intrusions, and the decision to employ robust system defenses. In this paper, the main aim was to review the current literature regarding the subject of endpoint information security, with critical insights gained from the case of the healthcare industry. Findings suggest

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22

Huang, Xiangdong, Yuedong Wang, Kun Liu, Tiegen Liu, Chunyu Ma, and Miao Tian. "High-Efficiency Endpoint Detection in Optical Fiber Perimeter Security." Journal of Lightwave Technology 34, no. 21 (2016): 5049–55. http://dx.doi.org/10.1109/jlt.2016.2604865.

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23

Aromal Unni.A, A.L. Sriram, Akshay.R, and Lakshmi.S. "AI Based Anomaly Detection in Endpoint Logs." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 05 (2025): 2318–21. https://doi.org/10.47392/irjaeh.2025.0342.

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Artificial Intelligence (AI) has achieved significant advancements in anomaly identification. Software systems frequently document critical runtime data in system logs for diagnostic purposes. The swift advancement of cybersecurity threats has rendered the detection of anomalies in endpoint logs essential for recognizing potential security breaches. Conventional rule-based detection techniques frequently inadequately identify complex and dynamic assault patterns. Explainable Artificial Intelligence (XAI) enhances the examination of system logs. It employs a white-box model to ensure transparen

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24

Asgarov, Kamran. "REAL-TIME ENDPOINT ANOMALY DETECTION USING ADAPTIVE STATISTICAL METHODS FOR BASELINE DEVIATIONS." Problems of Information Technology 16, no. 1 (2025): 11–17. https://doi.org/10.25045/jpit.v16.i1.02.

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Real-time anomaly detection is an important part of endpoint security, which offers a promising alternative to traditional security and monitoring methods. This paper introduces a framework based on adaptive statistical methods for real-time endpoint anomaly detection and investigates six different statistical methods and their effectiveness in detecting anomalies in three anomaly scenarios. The framework approach is based on collecting detailed telemetry metrics that include major endpoint metrics categories such as CPU usage, network activity, disk operations to establish a baseline of norma

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25

Hafner, Michael, Mukhtiar Memon, and Ruth Breu. "SeAAS - A Reference Architecture for Security Services in SOA." JUCS - Journal of Universal Computer Science 15, no. (15) (2009): 2916–36. https://doi.org/10.3217/jucs-015-15-2916.

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Decentralized security models and distributed infrastructures of scenarios based onService Oriented Architectures make the enforcement of security policies a key challenge - all the more so for business processes spanning over multiple enterprises. The current practice to im-plement security functionality exclusively at the endpoint places a significant processing burden on the endpoint, renders maintenance and management of the distributed security infrastructurescumbersome, and impedes interoperability with external service requesters. To meet these challenges, we propose a reference securit

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26

Kim, Sujeong, Chanwoong Hwang, and Taejin Lee. "Anomaly Based Unknown Intrusion Detection in Endpoint Environments." Electronics 9, no. 6 (2020): 1022. http://dx.doi.org/10.3390/electronics9061022.

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According to a study by Cybersecurity Ventures, cybercrime is expected to cost $6 trillion annually by 2021. Most cybersecurity threats access internal networks through infected endpoints. Recently, various endpoint environments such as smartphones, tablets, and Internet of things (IoT) devices have been configured, and security issues caused by malware targeting them are intensifying. Event logs-based detection technology for endpoint security is detected using rules or patterns. Therefore, known attacks can respond, but unknown attacks can be difficult to respond to immediately. To solve thi

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27

Tedeschi, Stefano, Christos Emmanouilidis, Jörn Mehnen, and Rajkumar Roy. "A Design Approach to IoT Endpoint Security for Production Machinery Monitoring." Sensors 19, no. 10 (2019): 2355. http://dx.doi.org/10.3390/s19102355.

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The Internet of Things (IoT) has significant potential in upgrading legacy production machinery with monitoring capabilities to unlock new capabilities and bring economic benefits. However, the introduction of IoT at the shop floor layer exposes it to additional security risks with potentially significant adverse operational impact. This article addresses such fundamental new risks at their root by introducing a novel endpoint security-by-design approach. The approach is implemented on a widely applicable production-machinery-monitoring application by introducing real-time adaptation features

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Sobeslav, Vladimir, Ladislav Balik, Ondrej Hornig, Josef Horalek, and Ondrej Krejcar. "Endpoint firewall for local security hardening in academic research environment." Journal of Intelligent & Fuzzy Systems 32, no. 2 (2017): 1475–84. http://dx.doi.org/10.3233/jifs-169143.

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29

Rao Alugoju, Narasimha. "Modern Endpoint Management: Enhancing Security and Compliance in the Enterprise." JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING 11, no. 1 (2023): 65–79. https://doi.org/10.70589/jrtcse.2023.1.9.

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30

Shulika, K. M., D. S. Balagura, and Z. M. Sydorenko. "Analysis of methods for bypassing modern EDR endpoint protection systems." Radiotekhnika, no. 217 (June 14, 2024): 64–68. http://dx.doi.org/10.30837/rt.2024.2.217.05.

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The purpose of the article is to review and analyze the methods of bypassing complex solutions for endpoint protection (EDR). The article highlights and describes the salient features of each of the EDR bypass methods and provides recommendations for countering them. EDR (Endpoint Detection and Response) is a type of cross-platform software currently most commonly used for event monitoring, security incident generation and formalization, and incident response. For each method and tool, example of it’s useand advantages and disadvantages are described. The article will be useful for cybersecuri

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31

Gundaboina, Anjan Kumar. "Endpoint Security for Healthcare Devices: Protecting Patient Data on Windows and Samsung Assets." Journal of Technology and Systems 7, no. 4 (2025): 36–49. https://doi.org/10.47941/jts.2850.

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Purpose: This work also involves conducting an assessment and improvement of endpoint defense initiatives in healthcare facilities, especially when it comes to cybersecurity issues with Windows types of workstations and Samsung medical/mobile devices. It touches on the growing danger of cyberattacks on patient records and the healthcare system caused by digitalization in the healthcare industry. Methodology: The study presents a mixed-methods research design, where a complete vulnerability landscape, threat vectors and endpoint security products within healthcare settings will be reviewed. It

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32

Ogungbemi, Olumide Samuel, Favour Amarachi Ezeugwa, Oluwaseun Oladeji Olaniyi, Oluwaseun Ibrahim Akinola, and Oluseun Babatunde Oladoyinbo. "Overcoming Remote Workforce Cyber Threats: A Comprehensive Ransomware and Bot Net Defense Strategy Utilizing VPN Networks." Journal of Engineering Research and Reports 26, no. 8 (2024): 161–84. http://dx.doi.org/10.9734/jerr/2024/v26i81237.

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This study investigates endpoint security strategies for remote workforces utilizing VPN networks, focusing on mitigating ransomware and botnet attacks. A mixed-methods approach was employed, analyzing the effectiveness of existing endpoint solutions and simulating network segmentation strategies. The study highlights the enhanced effectiveness of traditional endpoint security solutions when augmented with advanced technologies with specific applications including email filtering to block phishing attempts, MFA to verify user identities, EDR systems to detect and block unauthorized access tool

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33

Vilas Shewale. "Beyond EDR: Exploring the rise of XDR for unified threat detection and response." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 380–86. https://doi.org/10.30574/wjaets.2025.15.2.0551.

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Extended Detection and Response (XDR) represents a transformative evolution in cybersecurity architecture, addressing critical limitations of traditional Endpoint Detection and Response (EDR) solutions. As organizations face increasingly sophisticated threats across expanded attack surfaces, XDR offers a unified approach by integrating telemetry from multiple security domains including endpoints, networks, cloud infrastructure, and email systems. This integration enables comprehensive visibility across the entire security ecosystem, facilitating faster detection and response to complex threats

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34

Gundaboina, Anjan Kumar. "Endpoint Detection and Response (EDR) in Healthcare: Mitigating Threats on Critical Devices." Journal of Technology and Systems 7, no. 4 (2025): 50–65. https://doi.org/10.47941/jts.2878.

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Purpose: This paper aims to identify the strategies for designing, implementing, and evaluating EDR in the safety of mission-critical medical devices and workstations in healthcare environments. Methodology: The exercise involved installing EDR elements throughout a sample of health organization’s endpoints and using bots to stage select cyber threats. This way, the methodology provides controlled exposure to real-life attack scenarios to assess the detection, response time and impact on the system. Findings: Endpoint Detection and Response (EDR) solutions are gradually rising as preventive se

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35

Naresh, Kumar Rapolu. "Leveraging Advanced Security Monitoring Tools and Techniques to Detect Vulnerabilities & Potential Security Breaches." Journal of Advances in Developmental Research 13, no. 1 (2022): 1–6. https://doi.org/10.5281/zenodo.14979958.

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The following research project has underscored the vitality of leveraging advanced security monitoring tools to detect vulnerabilities and potential security breaches. It has incorporated different security mojito tools like intrusion detection systems followed by security information and event management and endpoint detection and response, which are used to detect vulnerabilities and potential security breaches at the initial stages and mitigate them with proactive measures. Furthermore, the research project has been supplemented with strategies like penetration testing followed by vulnerabi

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36

Sabeeruddin, shaik. "Impact of Endpoint Detection and Response (EDR) Tools on SOC Efficiency." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 5 (2024): 1–6. https://doi.org/10.5281/zenodo.14762654.

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Endpoint Detection and Response (EDR) systems have become crucial in modern cybersecurity operations, especially in improving the effectiveness of Security Operations centers (SOC). This study analyses the transformative impact of EDR technologies on SOC operations, incident response, and overall security posture. This paper utilizes a synthesis of literature and practical case studies to explain the advantages and challenges of EDR technologies, ultimately providing strategic recommendations for effective integration. The article outlines key metrics and standards for assessing the effectiven

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Dr., A.SHAJI GEORGE, GEORGE A.S.HOVAN, T.BASKAR, and Pandey Digvijay. "XDR: The Evolution of Endpoint Security Solutions -Superior Extensibility and Analytics to Satisfy the Organizational Needs of the Future." International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) 8, no. 1 (2021): 493–501. https://doi.org/10.5281/zenodo.7028219.

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The challenge of securing critical data increases year after year. Evolving technology developments, involving the growth in cloud and the Internet of Things adoption make businesses' confidential data more vulnerable to sophisticated attackers. Protect the Whole Organization by using the Industry's First Extended Detection and Response (XDR) Platform Security teams have been inundated with inaccurate, inadequate alerts. As a result of today's siloed security tools, specialists should pivot from the console to the console to piece together investigative clues, which will result in

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38

Zayed, Khaled. "Information security awareness: managing web, mobile and endpoint security; overcoming the challenges of bring your own device." International Journal of Teaching and Case Studies 7, no. 3/4 (2016): 271. http://dx.doi.org/10.1504/ijtcs.2016.080929.

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Soleman, Dedi, and Benfano Soewito. "Information Security System Design Using XDR And EDR." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 9, no. 1 (2024): 51–57. http://dx.doi.org/10.25139/inform.v9i1.7331.

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The development of technology has provided many benefits in providing services to the community and helping to manage government efficiently. However, increasing reliance on technology also indirectly increases the risk of cyberattacks. Every company has the threat of cyber attacks from hackers who try to access and possess important and confidential assets both from inside and outside the company. To protect these assets, a cybersecurity system is needed that is able to protect against various threats of attack from irresponsible parties. A layered cybersecurity system is needed to be able to

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40

Forain, Igor, Robson de Oliveira Albuquerque, Ana Sandoval Orozco, Luis García Villalba, and Tai-Hoon Kim. "Endpoint Security in Networks: An OpenMP Approach for Increasing Malware Detection Speed." Symmetry 9, no. 9 (2017): 172. http://dx.doi.org/10.3390/sym9090172.

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41

Reddy, Rajender Reddy Pell. "Enhancing Endpoint Security through Collaborative Zero-Trust Integration: A Multi-Agent Approach." International Journal of Computer Trends and Technology 72, no. 8 (2024): 86–90. http://dx.doi.org/10.14445/22312803/ijctt-v72i8p112.

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42

Mohammed, Mustafa Khan. "Studying The Effectiveness of Current Cybersecurity Measures." European Journal of Advances in Engineering and Technology 7, no. 9 (2020): 94–99. https://doi.org/10.5281/zenodo.13950900.

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The defense-in-depth approach is a fundamental approach that organizations have widely adopted due to the nature of sophisticated cyber threats used by cybercriminals to compromise data or damage IT systems. The current cyber threat landscape is an overgrowing field that requires multiple techniques and tactics to counteract them. The rise of cyberattacks has forced organizations to comply with one universal non-negotiable thing, which is cyber security, to ensure confidentiality, integrity, and availability of data and IT systems. Organizations employ various cyber security measures to ensure

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43

Hyder, M. F., Waseemullah, M. U. Farooq, U. Ahmed, and W. Raza. "Towards Enhancing the Endpoint Security using Moving Target Defense (Shuffle-based Approach) in Software Defined Networking." Engineering, Technology & Applied Science Research 11, no. 4 (2021): 7483–88. http://dx.doi.org/10.48084/etasr.4316.

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Static IP addresses make the network vulnerable to different attacks and once the machines are compromised, any sensitive information within the network can be spoofed. Moving Target Defense (MTD) provides an efficient mechanism for proactive security by constantly changing different system attributes. Software Defined Networks (SDNs) provide greater flexibility in designing security solutions due to their centralized management and programming capabilities. In this paper, a mechanism for the protection of endpoint security is developed using IP address host shuffling. In the proposed approach

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44

Z. A. Zakaria, Wira, Mohd Faizal Abdollah, Othman Abdollah, and S. M. Warusia Mohamed S.M.M. "Ransomware Behavior on Windows Endpoint: An Analysis." Journal of Social Science and Humanities 6, no. 5 (2023): 25–31. http://dx.doi.org/10.26666/rmp.jssh.2023.5.4.

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This paper provides a comprehensive examination of ransomware behavior on Windows endpoints, exploring the intrusion mechanisms, proliferation methods, and the mitigating strategies that can be employed. It provides a comparative analysis of several ransomware families and their effects on Windows systems, culminating with suggestions for future research directions in enhancing endpoint security against ransomware attacks. In the wake of a rising number of ransomware attacks worldwide, epitomized by the damaging disruptions to the Colonial Pipeline and the Irish Health Service Executive, the p

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Nazarov, D. I., D. A. Sigalov, and D. Yu Gamayunov. "Mining Server HTTP Endpoints from Commented-Out Client-Side Code of Web Applications." Programmnaya Ingeneria 14, no. 5 (2023): 245–53. http://dx.doi.org/10.17587/prin.14.245-253.

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In this paper we consider the problem of detecting information about HTTP endpoints on the server by extracting requests from the commented-out client code of web applications. The algorithm that extracts commented-out requests is proposed and implemented. The developed module was integrated into a static analyzer. An experiment was conducted on more than a million web pages belonging to more than 50 thousand web applications from the Alexa Top 1 million list. Requests unique to the commented code were selected for each page. Then a check was made for the existence of an associated endpoint on

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Beladiya, Vandan, and Mihir Sontakke. "Cyber Security SOC Analyst." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2409–12. https://doi.org/10.22214/ijraset.2025.67835.

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Abstract:In today's rapidly evolving digital landscape, organizations face an increasing number of cyber threats that jeopardize their sensitive data, operations, and reputation. A Cyber Security Security Operations Center (SOC) Analyst plays a critical role in detecting, analyzing, and mitigating cyber threats in real-time. This role involves continuous monitoring of security alerts, incident response, threat intelligence analysis, and ensuring compliance with security policies and frameworks. SOC Analysts leverage advanced security tools such as SIEM (Security Information and Event Managemen

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Zayed, Khaled. "Information Security Awareness: Managing Web, Mobile & Endpoint Security; Overcoming the Challenges of Bring Your Own Device (BYOD)." International Journal of Teaching and Case Studies 7, no. 3/4 (2016): 1. http://dx.doi.org/10.1504/ijtcs.2016.10001478.

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. Vivekananda, G. "Malfoyle - A Robust Implementation of Hash-Based Cryptographic Detection Systems and Yara Rule Integration." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43018.

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ABSTRACT Malware remains a significant cybersecurity threat, highlighting the need for innovative detection methods to address limitations of existing approaches [7]. As organizations face devastating consequences due to sophisticated malware attacks and lack of effective fallback mechanisms [7], the development of robust detection tools becomes critical. The evolving nature of malware, driven by obfuscations, mutations, and modifications, dynamically alters feature distributions and renders static detection methods ineffective, necessitating adaptive approaches to combat these challenges [2].

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N. Asgarov, K. "UNSUPERVISED MACHINE LEARNING METHODS FOR REAL-TIME ANOMALY DETECTION IN ENDPOINTS." Journal of Modern Technology and Engineering 9, no. 3 (2024): 141–55. https://doi.org/10.62476/jmte93141.

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Among all the contemporary digital ecosystems, endpoint devices, including computers, servers, and IoT gadgets, represent at once the most important and the most vulnerable part of the infrastructure of any organization. Traditional security solutions very often cannot identify subtle and sophisticated threats that reveal their presence only through deviations from normal behavior. This paper presents the application of unsupervised machine learning methods-namely, Isolation Forest, One-Class Support Vector Machines, Gaussian Mixture Models and Local Outlier Factor-for real-time anomaly detect

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Shtonda, Roman, Yuliya Chernish, Irina Maltseva, Yurii Tsykalo, Yevhen Chaika, and Serhiy Polishchuk. "PRACTICAL APPROACHES TO CYBER PROTECTION OF MOBILE DEVICES WITH THE HELP OF A SOLUTION ENDPOINT DETECTION AND RESPONSE." Cybersecurity: Education, Science, Technique 1, no. 21 (2023): 17–31. http://dx.doi.org/10.28925/2663-4023.2023.21.1731.

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In this article, practical approaches to cyber protection of mobile devices using the Endpoint Detection and Response solution are considered and the results of the work carried out are given. In order to reliably protect mobile devices, the authors of the article conducted testing of CrowdStrike Falcon software; Sophos Intercept X; Palo Alto Cortex XDR included in the Endpoint Detection and Response solution. The research was conducted on personal mobile devices of employees of our institution, which work on the basis of Android and iOS operating systems. Comprehensive collection of monitorin

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