Method of Quantification of Cyber Threat Based on Indicator of Compromise

Cho, Hyeisun; Lee, Seulgi; Kim, Nakhyun; Kim, Byungik; Park, Jun Hyung

doi:10.1109/platcon.2018.8472733

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Next, it proposes a method to analyze network threats that is not targetoriented [106]. Additonally, In [107] explained a great number of novel and different attacks happen frequently, and inadequate security experts and tools make it problematic to examine and address them. [107] provided an approach of analyzing the threat of IoC for cyber incidents, and of calculating its value as a measureable value to check the precedence of cyber incidents that happen in large numbers [107].…”

Section: Threat Quantificationmentioning

confidence: 99%

Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI

Hillier¹,

Karroubi²

2022

Preprint

View full text Add to dashboard Cite

The threat hunting lifecycle is a complex atmosphere that requires special attention from professionals to maintain security. This paper is a collection of recent work that gives a holistic view of the threat hunting ecosystem, identifies challenges, and discusses the future with the integration of artificial intelligence (AI). We specifically establish a life cycle and ecosystem for privacy-threat hunting in addition to identifying the related challenges. We also discovered how critical the use of AI is in threat hunting. This work paves the way for future work in this area as it provides the foundational knowledge to make meaningful advancements for threat hunting.

show abstract

Section: Threat Quantificationmentioning

confidence: 99%

Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI

Hillier¹,

Karroubi²

2022

Preprint

View full text Add to dashboard Cite

show abstract

The "Big Beast to Tackle": Practices in Quality Assurance for Cyber Threat Intelligence

Geras,

Schreck

2024

The 27th International Symposium on Research in Attacks, Intrusions and Defenses

View full text Add to dashboard Cite

MTD-Diorama: Moving Target Defense Visualization Engine for Systematic Cybersecurity Strategy Orchestration

Lee,

Kim,

Kim

et al. 2024

Sensors

View full text Add to dashboard Cite

With the advancement in information and communication technology, modern society has relied on various computing systems in areas closely related to human life. However, cyberattacks are also becoming more diverse and intelligent, with personal information and human lives being threatened. The moving target defense (MTD) strategy was designed to protect mission-critical systems from cyberattacks. The MTD strategy shifted the paradigm from passive to active system defense. However, there is a lack of indicators that can be used as a reference when deriving general system components, making it difficult to configure a systematic MTD strategy. Additionally, even when selecting system components, a method to confirm whether the systematic components are selected to respond to actual cyberattacks is needed. Therefore, in this study, we surveyed and analyzed existing cyberattack information and MTD strategy research results to configure a component dataset. Next, we found the correlation between the cyberattack information and MTD strategy component datasets and used this to design and implement the MTD-Diorama data visualization engine to configure a systematic MTD strategy. Through this, researchers can conveniently identify the attack surface contained in cyberattack information and the MTD strategies that can respond to each attack surface. Furthermore, it will allow researchers to configure more systematic MTD strategies that can be used universally without being limited to specific computing systems.

show abstract

Method of Quantification of Cyber Threat Based on Indicator of Compromise

Cited by 3 publications

References 0 publications

Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI

Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI

The "Big Beast to Tackle": Practices in Quality Assurance for Cyber Threat Intelligence

MTD-Diorama: Moving Target Defense Visualization Engine for Systematic Cybersecurity Strategy Orchestration

Contact Info

Product

Resources

About