Malware detection on windows audit logs using LSTMs

Ring, Markus; Schlör, Daniel; Wunderlich, Sarah; Landes, Dieter; Hotho, Andreas

doi:10.1016/j.cose.2021.102389

Cited by 19 publications

(5 citation statements)

References 8 publications

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“…Earning can involve either reselling the software to other users, companies, agencies or trading it on the Dark Web. Profiteering may also consist in constructing the kind of software that enforces, e.g., payments by blocking the user and access to his/her data or by tracking transmitted data, e.g., card numbers and access data to payment systems (Beaman et al, 2021;Formosa et al, 2021;Ring et al, 2021;Skoudis, & Zeltser, 2004).…”

Section: Information Security Threatsmentioning

confidence: 99%

Perception of Information Security in the Process of Distance Learning During the COVID-19 Pandemic on the Example of University Teachers’ Experiences

Kubacka

Biały

Gołąb

2021

IJREL

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The COVID-19 pandemic has greatly affected every area of our lives. One of them was education, which had to undergo a huge transformation in a very short time. Overnight, the computer replaced the blackboard and became the only tool of communication between a student and a teacher. Teachers had to completely change the tools used in the teaching process and enter a completely new and, for many of them completely unknown, working environment. Online learning has replaced traditional teaching. A computer with Internet access has become a basic work tool for people who have so far used it mainly for recreational purposes. Teachers were thrown in at the deep end, for most of themit was the first time they had encountered platforms for remote communication.As the workspace has changed, learners and teachers have begun to move much more frequently into the world of the Internet, which harbors many dangers of which quite a few people were previously unaware. For this reason, the authors decided to investigate the problem of information security in e-learning. This paper attempts to collect the experiences and assess the awareness of university teachers about information security threats while teaching during the COVID-19 pandemic. The research results presented in this paper showed that the level of awareness of the risks, that may affect academic teachers in the distance learning process, is very low. Additionally, no appropriate procedures for safe distance learning have been developed. The communication security area was practically completely overlooked during the COVID-19 educational revolution.

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Section: Information Security Threatsmentioning

confidence: 99%

Perception of Information Security in the Process of Distance Learning During the COVID-19 Pandemic on the Example of University Teachers’ Experiences

Kubacka

Biały

Gołąb

2021

IJREL

View full text Add to dashboard Cite

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“…After the attack computer is connected with the user computer, the data acquisition server, the security detection server and the database server, the attack instruction is sent through the attack computer [17,18]. In order to ensure the rigor of the experiment, this paper joins the traditional vulnerability detection and evaluation system, runs the designed system and the traditional detection and evaluation system on the user's computer respectively, and records the corresponding attack detection data.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

Information Security Detection and Analysis Based on Big Data and Artificial Intelligence Technology

Wei,

Ma,

et al. 2023

Atlantis Highlights in Intelligent Systems

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Under the background of big data and cloud computing, computer network security is facing new security threats, and big data also provides a big data foundation for the application of artificial intelligence technology in computer network security detection system. This paper studies the application of artificial intelligence technology based on big data in computer network security detection system design, in order to provide some intellectual support for the application and promotion of artificial intelligence technology in computer network security detection system design.

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“…So the improved LogEvent2Vec model by Ryciak et al (2022) uses the fastText algorithm instead of Word2Vec. Ring et al (2021) analyze four different approaches to presenting audit log data: one-hot-ecoding, Word2Vec, fastText, and GloVe. As a result, the study recommends using FastText, which showed the most significant latent space, has the ability to generalize previously unknown values.…”

Section: Semantics Modelsmentioning

confidence: 99%

A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities

Gaifulina

Kotenko

2023

Artif Intell Rev

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Information systems need to process a large amount of event monitoring data. The process of finding the relationships between events is called correlation, which creates a context between independent events and previously collected information in real time and normalizes it for subsequent processing. In cybersecurity, events can determine the steps of attackers and can be analyzed as part of a specific attack strategy. In this survey, we present the systematization of security event correlation models in terms of their representation in AI-based monitoring systems as: rule-based, semantic, graphical and machine learning based-models. We define the main directions of current research in the field of AI-based security event correlation and the methods used for the correlation of both single events and their sequences in attack scenarios. We also describe the prospects for the development of hybrid correlation models. In conclusion, we identify the existing problems in the field and possible ways to overcome them.

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Malware detection on windows audit logs using LSTMs

Cited by 19 publications

References 8 publications

Perception of Information Security in the Process of Distance Learning During the COVID-19 Pandemic on the Example of University Teachers’ Experiences

Perception of Information Security in the Process of Distance Learning During the COVID-19 Pandemic on the Example of University Teachers’ Experiences

Information Security Detection and Analysis Based on Big Data and Artificial Intelligence Technology

A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities

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