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The integration of large language models (LLMs) into various cybersecurity pipelines has become increasingly prevalent, enabling the automation of numerous manual tasks and often surpassing human performance. Recognising this potential, ...

• We explore the capacity of state-of-the-art LLMs in code deobfuscation.
• We use real-world data from a well-known large malware campaign.
• We assess LLM accuracy and hallucinations in this task.
• We propose an augmented automated ...

The significant increase in software production driven by automation and faster development lifecycles has resulted in a corresponding surge in software vulnerabilities. In parallel, the evolving landscape of software vulnerability detection, ...

As society’s dependence on information and communication systems (ICTs) grows, so does the necessity of guaranteeing the proper functioning and use of such systems. In this context, it is critical to enhance the security and robustness of the ...

Many malware campaigns use Microsoft (MS) Office documents as droppers to download and execute their malicious payload. Such campaigns often use these documents because MS Office is installed on billions of devices and that these files allow the execution ...

The advent of decentralised systems and the continuous collection of personal data managed by public and private entities require the application of measures to guarantee the privacy of individuals. Due to the necessity to preserve both the ...

• We improve the performance of TSP-based heuristics regardless of the size of data.
• According to data, we can reduce the computational time and the introduced error.
• Extensive experiments show how our method is able to outperform ...

Malware authors continuously evolve their code base to include counter-analysis methods that can significantly hinder their detection and blocking. While malware execution in a sandboxed environment may provide insightful feedback ...

Microsoft Office may be by far the most widely used suite for processing documents, spreadsheets, and presentations. Due to its popularity, it is continuously utilised to carry out malicious campaigns. Threat actors, exploiting the ...

Blockchain DNS has emerged as an alternative solution to traditional DNS to address many of its inherent drawbacks. In this regard, a blockchain DNS approach is decentralised, resilient, provides high availability, and prevents ...

A crucial technical challenge for cybercriminals is to keep control over the potentially millions of infected devices that build up their botnets, without compromising the robustness of their attacks. A single, fixed C&C server, for ...

Reverse logistics (RL) activities of medical equipment play a crucial role in properly managing durable medical devices at the end of their life. However, refurbishing medical equipment is not a straightforward process, as there exist many challenges ...

During the last few years, there has been an upsurge of social media influencers who are part of the adult entertainment industry, referred to as Performers. To monetize their online presence, Performers often engage in practices which violate ...

• Security mechanisms against DGAs highly depend on the unencrypted nature of DNS queries.

There is a continuous increase in the sophistication that modern malware exercise in order to bypass the deployed security mechanisms. A typical approach to evade the identification and potential take down of a botnet command and ...

Modern malware can take various forms and has reached a very high level of sophistication in terms of its penetration, persistence, communication and hiding capabilities. The use of cryptography, and of covert communication channels over public ...

• A novel PPCF method based on variable-sized microaggregation.
• A set of new ...

The amount of available information is growing steadily and, as a result, Internet users benefit from recommender systems, which help them find information, services and products that best fit their needs. A common technique used in ...

Identifying the optimal granularity level of traceable units is necessary when implementing traceability, particularly in food supply chains. In this paper we propose a generic framework for defining granularity levels based on product's unique ...

Collaborative Filtering (CF) is a recommender system which is becoming increasingly relevant for the industry. Current research focuses on Privacy Preserving Collaborative Filtering (PPCF), whose aim is to solve the privacy issues raised by the ...

Automatic recommender systems have become a cornerstone of e-commerce, especially after the great welcome of Web 2.0 based on participation and interaction of Internet users. Collaborative Filtering (CF) is a recommender system that is becoming ...