Practical Information Security Management

Campbell, Tony

doi:10.1007/978-1-4842-1685-9

Cited by 4 publications

(2 citation statements)

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“…Current technologies such cloud computing facilitates the process of CK, however it implies to be more exposed to technological threats. At this extra-collaborative level, all the entities involved in a CK process should guarantee and protect the confidentiality, availability, and integrity of the knowledge [60].…”

Section: Trust/technologicalmentioning

confidence: 99%

Conceptualisation of the Three-Dimensional Matrix of Collaborative Knowledge Barriers

Sanchís

Sanchis-Gisbert²,

Mula

2020

Sustainability

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Nowadays, collaborative knowledge management (CKM) is well accepted as a decisive asset in the field of networked enterprises and supply chains. However, few knowledge management initiatives have been performed successfully because, in most cases, the barriers that hinder the CKM process are unknown and misunderstood. Currently, the research reveals different uni-and bi-dimensional barriers' classifications, however multi-dimensional approaches provide a better view of the complexity in the area of CKM. Therefore, this paper proposes the three-dimensional matrix of collaborative knowledge barriers taking into account: (i) perspectives; (ii) levels and (iii) barriers blocks to provide a reference way to audit the CKM barriers, and thus, in further research, focus on the corrections and adjustments to guarantee the success while implementing a CKM project.

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Section: Trust/technologicalmentioning

confidence: 99%

Conceptualisation of the Three-Dimensional Matrix of Collaborative Knowledge Barriers

Sanchís

Sanchis-Gisbert²,

Mula

2020

Sustainability

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“…Процесс управления рисками ИБ состоит из нескольких этапов [2,3]. На наш взгляд самым важным этапом является оценка риска Существует два основных способа оценки риска ИБ -количественный [4] и качественный [5,6].…”

Section: Introductionunclassified

Using cluster analysis techniques to optimize the qualitative assessment of information security risk

Evseev

Бураков

Иваненко

2021

BIT

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Аннотация. Статья посвящена точности оценки рисков информационной безопасности. В статье обосновывается актуальность оценки рисков, исходя из последствий их реализации для бизнеса и вероятности их возникновения. Анализируется метод качественной оценки рисков информационной безопасности (метод экспертной оценки) на конкретном примере. Обосновывается применение методов кластерного анализа. На примерах показано использование методов кластерного анализа: метод ближайшего соседа, метод удаленного соседа, метод k-средних. Приводятся принципиальные недостатки первых двух методов: появление больших кластеров не имеющих сходств, отсутствие возможности у экспертов заранее задать желаемое количество кластеров. Обосновывается применение метода k-средних -наличие возможности у экспертов заранее задать желаемое количество кластеров с помощью задания начальных центров. Приводится сравнение результатов, полученных при обычной качественной оценке, с результатами полученными методами кластерного анализа. Обосновывается целесообразность использования методов кластерного анализа для повышения точности оценки рисков информационной безопасности.

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A Local Feature Engineering Strategy to Improve Network Anomaly Detection

et al. 2020

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The dramatic increase in devices and services that has characterized modern societies in recent decades, boosted by the exponential growth of ever faster network connections and the predominant use of wireless connection technologies, has materialized a very crucial challenge in terms of security. The anomaly-based intrusion detection systems, which for a long time have represented some of the most efficient solutions to detect intrusion attempts on a network, have to face this new and more complicated scenario. Well-known problems, such as the difficulty of distinguishing legitimate activities from illegitimate ones due to their similar characteristics and their high degree of heterogeneity, today have become even more complex, considering the increase in the network activity. After providing an extensive overview of the scenario under consideration, this work proposes a Local Feature Engineering (LFE) strategy aimed to face such problems through the adoption of a data preprocessing strategy that reduces the number of possible network event patterns, increasing at the same time their characterization. Unlike the canonical feature engineering approaches, which take into account the entire dataset, it operates locally in the feature space of each single event. The experiments conducted on real-world data showed that this strategy, which is based on the introduction of new features and the discretization of their values, improves the performance of the canonical state-of-the-art solutions.

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Practical Information Security Management

Cited by 4 publications

References 0 publications

Conceptualisation of the Three-Dimensional Matrix of Collaborative Knowledge Barriers

Conceptualisation of the Three-Dimensional Matrix of Collaborative Knowledge Barriers

Using cluster analysis techniques to optimize the qualitative assessment of information security risk

A Local Feature Engineering Strategy to Improve Network Anomaly Detection

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