Cybersecurity Research Articles

Prioritizing customer and technical requirements for microgrid battery integration via a house of quality-driven decision-making approach.

The purpose of this study is to make evaluation regarding significant issues about the customer expectations and technical competencies for successfully integration of batteries in microgrid systems. In this direction, six different customer expectations and technical requirements are identified by considering literature review results. The weights of the criteria are computed with sine trigonometric Pythagorean fuzzy (STPYF) decision making trial and evaluation laboratory (DEMATEL). Moreover, technical requirements are also ranked using a newly developed technique in this study called "ranking technique by geometric mean of similarity ratio to optimal solution" (RATGOS). This new methodology is also integrated with STPYF sets. The main contribution of this study is that it can be much easier to increase the efficiency of battery integration in microgrid systems by making the priority analysis. Moreover, proposing a new ranking-based decision-making technique (RATGOS) has an increasing impact on the methodological originality. On the other side, owing to considering DEMATEL approach in criteria weighting, the causal directions between these factors can be understood. This situation can be accepted as an important superiority of this model by comparing with the previously generated ones. It is determined that efficiency of storing energy is the most critical customer expectation to increase the effectiveness of this process. Furthermore, the ranking results also demonstrate that generating smart battery control systems is the most important technical requirements to have higher performance in microgrid energy systems. It is identified that the proposed model generates similar findings with the previous ones. Based on these results, some strategies should be implemented to increase the efficiency of energy storage processes in microgrid systems. Within this framework, choosing the right battery is of vital importance. Technological infrastructure is necessary to achieve this goal. Similarly, it is important to provide cyber security to increase the efficiency of energy storage processes. In this way, it is possible for the batteries to work more safely against external interventions.

Retraction Note: Cyber security analysis based medical image encryption in cloud IoT network using quantum deep learning model

Retraction Note: Cyber security analysis based medical image encryption in cloud IoT network using quantum deep learning model

The role of generative AI in cyber security

<p>In the ever-evolving landscape of cyber threats, the integration of Artificial Intelligence (AI) has become popular into safeguarding digital assets and sensitive information for organisations throughout the world. This evolution of technology has given rise to a proliferation of cyber threats, necessitating robust cybersecurity measures. Traditional approaches to cybersecurity often struggle to keep pace with these rapidly evolving threats. To address this challenge, Generative Artificial Intelligence (Generative AI) has emerged as a transformative sentinel. Generative AI leverages advanced machine learning techniques to autonomously generate data, text, and solutions, and it holds the potential to revolutionize cybersecurity by enhancing threat detection, incident response, and security decision-making processes. We explore here the pivotal role that Generative AI plays in the realm of cybersecurity, delving into its core concepts, applications, and its potential to shape the future of digital security.</p>

Digital Transformation in the Agri-food Sector: A Comparative Analysis of Industry 4.0 Innovations by Italian Sustainability Leaders

The agri-food sector is a key actor in the Italian economy and plays a crucial role in rescuing and accelerating progress towards the Sustainable Development Goals (SDGs). However, diverse sustainability challenges including environmental conservation, economic volatility, political changes and regulatory constraints affect the agri-food company’s competitiveness and their ability to face global sustainability challenges. Exploiting digital innovation is then essential. By facilitating more efficient management of resources, reducing waste and improving supply chain transparency, digital innovations contribute to more sustainable, inclusive and resilient agri-food systems. This paper aims to understand the ongoing digital transformation of the Italian agri-food sector through a comparative analysis of innovative practices by Italian agri-food companies that are recognized as sustainability leaders. Among the Industry 4.0 (I4.0) technologies, sensors, blockchain, cyber security, and artificial intelligence appear to be the most adopted I4.0 solutions to help companies influence the social, economic and environmental dimensions of sustainable development.

Retraction Note: E-healthcare application cyber security analysis using quantum machine learning in malicious user detection

Retraction Note: E-healthcare application cyber security analysis using quantum machine learning in malicious user detection

Cybersecurity Challenges in the Hashemite Kingdom of Jordan

In an era marked by rapid advancements in technology and the digital revolution, cyber-security has become one of the most significant technical issues across countries, including nation-states like the Hashemite Kingdom of Jordan. This paper examines the very complex cyber security issues that Jordan experiences and evaluates how the legal structure established in Cyber Security Act No. 16 of 2019 can be used to face these challenges? Comparatively analyzed with global standards, the research identifies substantial shortcomings in Jordan’s cybersecurity enforcement, coordination and integration capabilities. The research also discusses how international cooperation and public awareness can help improve national cybersecurity. The study appears to indicate that while significant steps have been taken Jordan’s legal infrastructure, there is a need for continued modernization in line with a rapidly evolving cyber threat landscape. Finally, the paper ends by suggesting policy interventions that can bolster cybersecurity in Jordan, and it also draws attention to a number of issues regarding risk-based approaches for managing cyber threats regulation across different regulatory authorities; as well the necessity of more inclusive digital public engagement efforts. This is necessary to safeguard our vital structures in Jordan and provide a stable, secure cyberspace.

Navigating the Pandemic Through Technology: Colombian NGOs Promoting Peace During the COVID-19 Era

This article examines how Colombian NGOs use Information and Communication Technologies (ICTs) for peacebuilding attempts amid the COVID-19 pandemic. Drawing from 17 interviews with NGO members, the study underscores the pivotal role of digital peacebuilding in sustaining and expanding peace attempts, effective data management, and a broader engagement of target groups beyond in-person activities often associated with safety and financial concerns. The findings also identify prevailing challenges of incorporating ICTs in NGO's peacebuilding activities, ranging from privacy-related concerns to connectivity issues. The article points out the potential for NGOs to enhance interactivity, knowledge transfer, and diversity in their activities with ICTs, including IT security training and awareness campaigns on hate speech and propaganda. It also emphasizes the importance of developing risk reduction strategies tailored to the specific needs of different target groups.

Transforming Cybersecurity Infrastructure : A Multi-dimensional Approach to Risk, Culture, and Technological Integration

The rapid acceleration of digital transformation has exposed critical limitations in traditional cybersecurity approaches, particularly in their reactive nature and disconnection from broader organizational strategies. This article critically examines current cybersecurity practices in IT infrastructure management, identifying significant gaps in the integration of security measures with business objectives, organizational culture, and emerging technologies. Through a mixed-method analysis of industry practices and empirical data from multiple case studies, The article proposes a comprehensive framework that transcends conventional security paradigms. The article introduces a proactive, risk-based approach that integrates cultural transformation, emerging technologies, and resilience building while fostering strategic partnerships across stakeholder groups. Initial implementation across various organizational contexts demonstrates significant improvements in security posture, incident response times, and overall business alignment. The findings contribute to both theoretical understanding and practical application of integrated cybersecurity management, offering valuable insights for practitioners and researchers in the field of IT security and organizational resilience. This article addresses a critical gap in current literature by providing a holistic approach that aligns cybersecurity initiatives with organizational transformation while considering human factors and technological evolution.

Formation of the TNI Cyber Force: A Strategic and Policy Analysis

The increasing cyber threats in Indonesia require strengthening the country's defense strategy. This study focuses on the formation of the Indonesian National Army (TNI) Cyber Force as part of efforts to strengthen the country's cyber security in facing increasingly complex threats. The purpose of this study is to analyze the policy and strategy for the formation of the TNI Cyber Force and evaluate the synergy between institutions, especially with the National Cyber ​​and Crypto Agency (BSSN). This study uses a qualitative method with a secondary data analysis approach, including reports from Fortinet, AwanPintar.id, and national policy documents related to cybersecurity. The research findings show that the TNI Cyber Force has a crucial role in protecting Indonesia's critical infrastructure from the threat of botnets, ransomware, and other cyber-attacks. The synergy between the TNI and BSSN is key to building an effective cyber defense system. Although there has been an increase in cyber readiness, this study found that challenges still exist, including in terms of human resources and the technology used. In conclusion, the formation of the TNI Cyber Force is an important step in dealing with cyber threats, but there needs to be further strengthening in cross-sector coordination and adoption of the latest technology.

Cross-border data flow in China: Shifting from restriction to relaxation?

This article examines China's latest development in the governance of cross-border data flow. Under the general framework of Cyber Security Law, Data Security Law, and Personal Data Protection Law, China established its own regime of cross-border data flow. In recent years, contrary to the general international perception that China imposes strict restrictions especially due to national security concerns, China has been de facto relaxing its regulations on cross-border data flow, especially for digital trade. This article suggests three underlying incentives. First, China is in an increasing need to gain economic growth through international trade and investment. Second, China intends to compete in technology development and take the lead in shaping international rules on data governance. Third, China is seeking to adhere to international standards, particularly those prescribed in international free trade agreements. This article further submits that this paradigm shift would have international implications. First, China's practices need to be examined under the domestic regulatory frameworks of international free trade agreements. Second, China's current legislative and judicial practices are multifaceted, taking into account various factors, including international business, national security, and data protection, which may contribute to the further development of international cross-border data flow rules.

Yara-Based Emotet Malware Scanner – A Factual Analysis

Malware is malicious software which has the ability to compromise sensitive data and disrupt systems. At present malicious software is the most efficient tool used in compromising the security of computers or any other electronic devices connected to the internet. This has become a menace owing to the rapid progress in technologies such as encryption and data hiding techniques. A highly adaptable and persistent type of malware, Emotet is well-known for its capacity to propagate via phishing emails and send out further malicious payloads, by impairing network and data security. Emotet poses a special risk since it serves as a gateway for other viruses, such as ransomware and data thieves, which can cause serious data breaches, monetary losses, and interruptions to business operations. It poses a serious danger to both individual users and big enterprises due to its advanced evasion techniques and quick network spread. In this project, distinct file signatures and byte patterns that are distinctive of the malware are identified by YARA rules in order to detect Emotet. These patterns include specific sequences used in Emotet’s payload and obfuscation techniques, allowing for precise detection within scanned files.

Cyber Hacking Breaches Detection Using Machine Learning

Cyber hacking breach prediction is one of the emerging technologies and detecting and predicting breaches through computer algorithms has become a very challenging task To make malware detection more effective, scalable and more efficient than traditional system calls human involvement Machine learning to be used for breach detection and prediction The main goal is a series of cyber hacking attacks each of which will harm the person’s information and financial reputation. Government and non-profit organizations’ data, such as user and company information,, can be compromised, posing a risk to their finances and reputation if they collect information from websites and social networks it can trigger a cyber attack. Organizations such as the healthcare sector are capable of holding sensitive information that must be handled discreetly and securely. Data breaches can lead to identity theft, fraud, and other losses. The findings show that 70% of breaches affect a wide range of organisations, including healthcare providers. The investigation indicates a possible data breach. Due to the heavy usage of computer programs and security on the host and network, there is a risk of data breach. Machine learning can be used to detect these attacks. Research uses machine learning models to protect against web security flaws. The data set is available from the Privacy Rights Clearing House. Teaching employees how to use modern security measures can reduce data breaches. This can help to understand attack detection and data security. Machine learning models such as Random Forest, Decision Tree, k-means and Multi- layer Perceptron are used to predict data violations

Addressing GenAI use through transparency in teaching and learning in a Master of Cyber Security program

This paper explores the use of Generative AI (GenAI) in university assessments, focusing on transparency and best practices. The study examines the implementation of GenAI guidelines in a Master of Cyber Security program from 2023 to 2024. Course conveners aimed to enhance learning by encouraging GenAI use for efficiency, while addressing academic integrity concerns. The evolving university policies and the challenges of detecting GenAI misuse are discussed. The paper highlights the importance of clear guidelines and transparent communication to foster shared understanding for AI use. Findings suggest that transparent AI policies can support both students and educators in navigating the complexities of AI in education.

Data and IT Systems Security in Contemporary Organizations

ABSTRACT Data and IT systems security is a critical aspect and plays a significant role in protecting an organization’s business. Organizations must safeguard their information and assets to sustain their value and reputation. Security is essential to information systems because it concerns personal and confidential data belonging to users or companies. The study aims to indicate how enterprises in Poland guarantee the security of data and IT systems, as well as to estimate the complexity of this phenomenon. We have confirmed that small and medium enterprises (SMEs) organizations with a lower level of computerization generally invest fewer resources and possess less expertise in establishing and maintaining IT security policies and strategies.

Rozwój technologii kwantowej: wyzwania i aspekty regulacyjne. Przegląd wybranych zagadnień prawnych

In the era of the Fourth Industrial Revolution, quantum technology is entering the scene with the promise of radically changing the technological paradigm. Quantum computing, simulation, quantum communications and the combination of this technology with artificial intelligence are opening up new horizons of innovation that could revolutionize various industries. Along with its enormous potential, this technology brings legal, ethical and social challenges that require detailed analysis and an interdisciplinary approach. The industrial deployment of quantum technology entails dilemmas regarding human rights, cyber security and national security, as well as the risk of exacerbating inequality, technological exclusion and algorithmic discrimination. With regard to artificial intelligence enhanced by quantum computing technology, we can speak of a completely new facet of the problem of the opacity of algorithms, which is determined not only by the cognitive limitations of the human mind, but stems from the indefinability of the world described by the laws of quantum mechanics. In light of the above, the thesis can be advanced that the classical approach to the principle of transparency and the postulates of creating algorithms that will clearly present the path to the final result, which are part of the broad current of creating ethical and explainable artificial intelligence, may prove difficult to realize in relation to Quantum AI. In the era of the Fourth Industrial Revolution, we are therefore faced with the challenge of implementing new instruments for testing, certifying and inspecting algorithms, such as tools for analyzing and visualizing the results of quantum algorithms, which will be suited to the specifics of Quantum AI and ensure the ethical correctness of the systems. This article will identify selected areas of application of quantum technology, and thus the potential benefits and risks of quantum technology, and also analyze the need to develop ethical and legal standards that allow for the sustainable and socially responsible development of these disruptive technologies.

Overview of Anomaly Detection Techniques across Different Domains: A Systematic Review

An anomaly, defined as something that deviates from what is normal, expected, or usual. It signifies abnormality or an irregularity that stands out from typical behaviours or patterns. Detecting anomalies is significant among numerous sectors due to the reasons of signal potential difficulties or opportunities. For an instance, in retail, detecting anomalies in sales data might prompt for further analysis into operational issues or customer behaviour to reduce losses and capitalize on its trends. Hence, different techniques are used for Anomaly Detection. However, anomaly detection using manual method are measured for time consuming, prone to error and can be tedious process. Therefore, different approaches have been considered for anomaly detection as AI (Artificial Intelligence) methods are efficient, faster, provides high level accuracy by effectively detecting the abnormalities. Owing to these aspects, this paper focuses on compiling different techniques and emphasizes on reviewing all anomaly detection using numerous techniques like ML (Machine Learning) and DL (Deep Learning) classifiers, statistical methods, one-class classification, clustering and density-based models which helps with identifying and comprehending the diversity of detection techniques that are applied in various domains like finance, retail, healthcare and cyber security. Various existing researches on anomaly detection are reviewed in the study. In addition to an overview, certain studies also deals with applications of detection models and future trends are reviewed in precise. Finally, the challenges are identified through the analysis of existing researchers and future recommendations are provided for overcoming the gaps that are intended to create promising work in this area.

Cyber Security and Business Continuity Management: Ensuring Resilience in a Digital World

Cyber Security and Business Continuity Management: Ensuring Resilience in a Digital World

A Delayed Malware Propagation Model for Cloud Computing Security

A Delayed Malware Propagation Model for Cloud Computing Security

Navigating Modern Threats: The Imperative of Strengthening Cybersecurity

Cybersecurity has become crucial in today's changing world to protect data and promote technological advancements, according to a recent online study. In a world where networks and IoT devices are increasingly interconnected and vulnerable, to attacks cyber threats have become a concern as discussed in the research paper I came across. The study delves into issues related to cybersecurity risks. Emphasizes the importance of implementing strong security measures to prevent unauthorized access and cyber breaches. The research explores studies by areas that need more attention while stressing the value of modern approaches, like artificial intelligence (AI) and machine learning (ML) in boosting threat identification and reaction capabilities. This article discusses the importance of cybersecurity, in maintaining stability and security through analysis. It emphasizes the need for companies to adopt technologies in their security measures for managing risks. The results of this article have implications, for fostering cooperation to tackle cybersecurity issues and contribute to securing a digital future. Keywords Cyber Security, Cyber Attacks, Challenges, Threats, Vulnerabilities

Engaging in cyber hygiene: the role of thoughtful decision-making and informational interventions

IntroductionThe effectiveness of human-centric cybersecurity largely depends on end-users’ adherence to security and privacy behaviors. Understanding and predicting variations in the adoption of these safeguards is crucial for both theoretical advancement and practical application. While existing frameworks are often adapted from health science literature, there is potential to enhance these models by incorporating criminological constructs relevant to online victimization. This study introduce rational choice theory of thoughtfully reflective decision-making (TRDM) into the information security domain. TRDM suggests that variations in cognitive decision-making capabilities influence behavioral outcomes, particularly in the context of security and privacy practices.MethodsThe study employed a field experiment to test the applicability of TRDM in predicting end-users’ engagement in security and privacy behaviors. Participants were exposed to security-related warnings, with the hypothesis that thoughtfully reflective decision-makers would be more likely to adopt robust protective behaviors. Data was collected on participants’ responses to these security warnings, as well as their overall adherence to privacy and security practices.ResultsThe findings support the theoretical framework: individuals exhibiting thoughtfully reflective decision-making tendencies demonstrated a higher likelihood of engaging in privacy and security behaviors. Specifically, participants with higher TRDM scores were more likely to adopt protective behaviors when warned of the consequences of non-compliance. These results indicate that cognitive decision-making capabilities significantly influence the likelihood of engaging in cybersecurity practices.DiscussionThe study challenges the prevailing one-size-fits-all approach to cybersecurity by highlighting the importance of individual differences in cognitive decision-making. Thoughtfully reflective decision-makers are better equipped to adopt preventive security measures, suggesting the need for more tailored interventions in cybersecurity education and risk assessment. This research contributes to the development of sophisticated risk assessment tools aimed at mitigating vulnerabilities and reducing users’ susceptibility to digital threats. Incorporating TRDM into information security models provides a more nuanced understanding of user behavior, offering insights into how cognitive processes influence cybersecurity adherence.