Cyberattacks Against Critical Infrastructure Facilities and Corresponding Countermeasures

Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti

doi:10.1007/978-3-030-91293-2_11

Cited by 6 publications

(3 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the application of graph-based techniques has facilitated the understanding of relationships and interactions between various malware samples, aiding in the identification of malware families and their evolution over time [21,22]. The continuous adaptation and refinement of these detection methods have ensured that cybersecurity systems remain resilient against increasingly sophisticated threats, maintaining the integrity and security of critical infrastructure and data [23,24].…”

Section: Malware Detectionmentioning

confidence: 99%

Malware Reverse Engineering with Large Language Model for Superior Code Comprehensibility and IoC Recommendations

Williamson,

Beauparlant

2024

Preprint

View full text Add to dashboard Cite

Malware reverse engineering, the process of dissecting malicious software to understand its functionality and behavior, faces significant challenges due to the complexity and obfuscation techniques employed by modern malware. The application of Gemini Pro for interpreting reverse-engineered malware code introduces a novel and significant approach to enhancing the understanding of complex malware behaviors. By leveraging advanced natural language processing capabilities, the model provides detailed and accurate explanations of malware's functional components, offering substantial improvements over traditional analysis methods. The study demonstrates the model's proficiency in identifying key operational mechanisms and recommending relevant indicators of compromise, which are crucial for effective threat detection and mitigation. A comprehensive comparative analysis reveals that Gemini Pro outperforms conventional static and dynamic analysis tools in terms of clarity, coherence, and time efficiency. Detailed case studies of various malware samples, including Ramnit, Kelihos, and Lollipop, illustrate the model's ability to generate clear and actionable insights, thereby facilitating better decision-making in cybersecurity contexts. The findings underscore the potential of integrating advanced natural language processing models into cybersecurity workflows to significantly enhance the efficiency and effectiveness of malware analysis and mitigation efforts.

show abstract

Section: Malware Detectionmentioning

confidence: 99%

Malware Reverse Engineering with Large Language Model for Superior Code Comprehensibility and IoC Recommendations

Williamson,

Beauparlant

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Malware spreading An attacker can develop malware and spread it to infect smart meters or company servers [138]. Malware can be used to replace or add any function to a device or a system such as sending sensitive information.…”

Section: Attacks Detailsmentioning

confidence: 99%

Privacy and security issues in smart grids: A survey

Ogweno Jeremiah Okeyo

2023

World J. Adv. Eng. Technol. Sci.

View full text Add to dashboard Cite

Smart grids have emerged as a transformative technology in the energy sector, enabling efficient electricity management, improved reliability, and integration of renewable energy sources. The necessity to promote smart grid (SG) has been recognized with a strong consensus. The SG integrates electrical grids and communication infrastructures and forms an intelligent electricity network working with all connected components to deliver sustainable electricity supplies. Many advanced communication technologies have been identified for SG applications with a potential to significantly enhance the overall efficiency of power grids. However, the widespread deployment of smart grids raises concerns about the privacy and security of the data collected and transmitted by these systems. To address these concerns, this paper proposes a comprehensive framework for ensuring privacy and security in smart grid systems. This framework includes encryption techniques, access control mechanisms, and robust authentication protocols. Additionally, this paper discusses the importance of user awareness and education in mitigating privacy and security risks. The research contributes to the existing literature on smart grid privacy and security by providing insights specific to the information technology security domain. The findings of this manuscript will be valuable for policymakers, energy providers, and researchers working towards the development of secure and privacy-preserving smart grid systems.

show abstract

“…A hacker can modify or distort digital data to spread false information or otherwise compromise digitalized control systems, harming or even obliterating crucial infrastructure functions. 20 The Islamist terrorist organizations (al-Qaeda) had spent time to study security information of western and results to their vulnerability, 21 as American investigators found operatives utilizing telecom switches in several nations. 22 Nowadays, a war is won through the concerted ability to secure information not on the physical strength.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

IJCAM

View full text Add to dashboard Cite

The digital world has exposed the whole world into danger and vulnerability of information security and the presence of new ways of compromising information security has moved the attention to a more holistic approach to information security management comprising technological, organizational, and social components. This remains a challenge for the policy maker and practitioners to more concerted effort into creating secure knowledge management and making the appropriate knowledge accessible to the appropriate individuals at the appropriate time. Knowledge is known as a country intellectual infrastructural and significant to overall development of all sectors.

show abstract

Cyberattacks Against Critical Infrastructure Facilities and Corresponding Countermeasures

Cited by 6 publications

References 55 publications

Malware Reverse Engineering with Large Language Model for Superior Code Comprehensibility and IoC Recommendations

Malware Reverse Engineering with Large Language Model for Superior Code Comprehensibility and IoC Recommendations

Privacy and security issues in smart grids: A survey

Untitled

Contact Info

Product

Resources

About