Evaluation of Machine Learning Method for Intrusion Detection System on Jubatus

Ogino, Tadashi

doi:10.7763/ijmlc.2015.v5.497

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Organizations may considerably lower the risk of credential-based attacks by proactively monitoring for credential leaks and deploying security solutions like MFA (Multifactor Authentication). It's critical to keep in mind that monitoring credential leakage is only one component of an all-encompassing cyber security program and should be used in conjunction with other security measures like routine vulnerability scanning, employee training, and incident response planning to make sure the company is adequately protected against cyber threats [82][83][84][85][86].…”

Section: Account Takeover Monitoringmentioning

confidence: 99%

Cyber Threat Intelligence: Current Trends and Future Perspectives

Cinar

2023

JERR

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Many organizations are continually put in danger by sophisticated and malevolent cyber attacks in today's rapidly developing threat landscape, which is evolving at a rapid rate. Cybercriminals, who are more skilled, more organized, and have more financial resources than in the past. Cyber Threat Intelligence, abbreviated as CTI, has emerged as a popular topic and is now being considered by many organizations as a potential solution to the growing number of cyber attacks. The purpose of this work is to conduct a literature review on the previous research that has been done on CTI. The most fundamental question about what CTI is investigated through the process of doing a literature study. This is done by contrasting several definitions in order to identify areas of agreement and disagreement. It has been discovered that neither the organization nor the suppliers have a comprehensive grasp of the information that is deemed to be CTI; hence, further study is required in order to define CTI. This article also listed existing CTI products and services, including as threat intelligence data feeds, threat intelligence standards, and tools that are being utilized in CTI. This study outlines four research issues in cyber threat intelligence and assesses contemporary work carried out in each of those areas. These difficulties were determined based on an assessment of the CTI definition, standards, and technologies. When an organization is inundated with a massive amount of threat data, the need for trained threat data analysts who are able to fully utilize CTI and transform the data into actionable information becomes more vital than it has ever been before. The problem of poor data quality is not a recent development; nonetheless, because to the increasing use of CTI, further study in this field is required.

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Section: Account Takeover Monitoringmentioning

confidence: 99%

Cyber Threat Intelligence: Current Trends and Future Perspectives

Cinar

2023

JERR

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“…We have been developing a cyber-attack detection system that uses machine learning technology [1]. An overview of this system is shown in Fig.…”

Section: Previous Workmentioning

confidence: 99%

“…We are developing a video system that can automatically detect irregular events from video images in real time. In addition, we have been developing a cyber-attack detection system that uses machine learning technology [1]. We have applied this technology in our cyber-attack detection system to video images.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection System for Video Data Using Machine Learning

Ogino¹

2016

IJKE

Self Cite

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Abstract-We are developing an anomaly detection system for video data that uses machine learning. The proposed system has two subsystems: feature extraction and anomaly detection. We developed two feature extraction systems. One uses traditional manual steps and the other uses machine learning, i.e., a neural network. For the anomaly detection system, we employ machine learning technology that we have developed for a cyber-attack detection system. Results confirm that both prototypes can detect anomalous events in experimental video data.

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An Approach of Applying, Adapting Machine Learning into the IDS and IPS Component to Improve Its Effectiveness and Its Efficiency

Singh¹,

Jahankhani²

2021

Advanced Sciences and Technologies for Security Applications

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Evaluation of Machine Learning Method for Intrusion Detection System on Jubatus

Cited by 7 publications

References 7 publications

Cyber Threat Intelligence: Current Trends and Future Perspectives

Cyber Threat Intelligence: Current Trends and Future Perspectives

Anomaly Detection System for Video Data Using Machine Learning

An Approach of Applying, Adapting Machine Learning into the IDS and IPS Component to Improve Its Effectiveness and Its Efficiency

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