Cybersecurity Plan Research Articles

Grayson Insurance Cybersecurity Strategic Plan Part 1

Grayson Insurance, as the name suggests, is an insurance company, which operates in the U.S and all across Europe. In recent weeks, we conducted an assessment on some of the cybersecurity policies that affect our company, including the Federal Information Security Management Act (FISMA) and the General Data Protection Regulation (GDPR). This was followed by conducting a risk assessment on some of the most important information assets that Grayson Insurance uses, including customer data, employee information, patient medical records, and company information. Some of the vulnerabilities that were uncovered from the assessment include phishing attacks, insider threats, data breaches through cyberattacks, and intellectual property theft. The next step is to come up with a Strategic Cybersecurity Plan that is aligned with Grayson Insurance’s business and IT priorities.

Redefining Cyber Defense: The Evolution of Threat Detection with Artificial Intelligence

The cyber security industry is witnessing a significant shift as more and more companies look to artificial intelligence (AI) to rethink their defense strategies against emerging cyber threats. This study explores how artificial intelligence (AI) is fundamentally changing the way that threat detection paradigms are traditionally understood. Through an examination of the past and present of traditional approaches, we draw attention to the growing necessity of artificial intelligence-driven solutions. The paper provides a thorough examination of the basis of artificial intelligence (AI) in threat detection, with a focus on neural networks and machine learning methods. This paper examines several AI-powered threat detection methods, such as behavioral analysis, anomaly detection, and a comparison of heuristic-based and signature-based strategies. Examined are issues like explain ability, interpretability, and adversarial attacks, which offer a thorough understanding of the difficulties and factors, related to AI-driven cyber security. With a focus on threat intelligence platforms, explainable AI, predictive analytics, and integration, the paper takes a forward-looking approach to improving cyber security. The effectiveness and efficiency of AI-powered threat detection are compared to more conventional techniques in a comparative analysis that ends with advice for businesses looking to use AI-driven solutions. Key findings and their implications for the changing cyber defense landscape are summarized in the study&#39, s conclusion. By doing this research, we hope to add to the continuing conversation about the development of threat detection and provide useful advice and insights to help enterprises successfully incorporate AI into their cyber security plans.

International Journal of Scientific Research in Science, Engineering and Technology

Protecting the integrity and security of computer networks is crucial in an era of all-pervasive digital connectedness. The user-friendly interface and powerful historical analytical capabilities of the Real-Time Network Traffic Monitoring and Anomaly Detection System are highlighted in this review paper's thorough investigation of the system. This technology takes the stage in a setting where conventional security measures frequently fall short against developing threats that blend in with regular network traffic. It provides experienced administrators and newcomers with real-time insights into network traffic. Additionally, its skills for historical analysis come in handy for post-incident investigations and boosting general network security. This assessment emphasizes the system's crucial function in thwarting existing and new network threats, establishing it as a cornerstone of successful cybersecurity plans for both businesses and private citizens.

EVALUATION OF THE CHANGE IN PERSPECTIVES OF SME EXECUTIVES TOWARDS THE INDUSTRY 4.0 PROCESS AND OPPORTUNITIES IN DIGITAL TRANSFORMATION WITH THE SWARA METHOD

The aim of this study is to determine the perspectives of small and medium-sized enterprises (SMEs) in Turkey towards the digital transformation that comes with Industry 4.0 and to determine the potential development and orientation of the information they had. In this study, the questions asked to thirty-two SME executives five years ago with a semi-structured interview were again directed to the same individuals. According to the results, it’s been seen that the executives have more knowledge of the Industry 4.0 process and have more information about the relevant technologies compared to the answers in 2017. In addition, executives have started to take more part in activities in this field. During the five-year period, the most concerned issue of executives was identified as cyber security and budget planning. In the second application of the study, it’s also aimed to determine the importance levels of some opportunities that are predicted to be caused by the Industry 4.0 transformation process on SMEs. In order to realize this aim, Step-Wise Weight Assessment Ratio Analysis (SWARA) application was made with five experts, and the first three opportunities with the highest level of importance were determined as low-cost production, competitiveness and improvement in production defects.

Enhancing Privacy Measures in Healthcare within Cyber-Physical Systems through Cryptographic Solutions

INTRODUCTION: The foundation of cybersecurity is privacy, standardization, and interoperability—all of which are essential for compatibility, system integration, and the protection of user data. In order to better understand the complex interrelationships among privacy, standards, and interoperability in cybersecurity, this article explains their definitions, significance, difficulties, and advantages.
 OBJECTIVES: The purpose of this article is to examine the relationship between privacy, standards, and interoperability in cybersecurity, with a focus on how these factors might improve cybersecurity policy and protect user privacy.
 METHODS: This paper thoroughly examines privacy, standards, and interoperability in cybersecurity using methods from social network analysis. It combines current concepts and literature to reveal the complex processes at work.
 RESULTS: The results highlight how important interoperability and standardization are to bolstering cybersecurity defences and preserving user privacy. Effective communication and cooperation across a variety of technologies are facilitated by adherence to standards and compatible systems.
 CONCLUSION: Strong cybersecurity plans must prioritize interoperability and standardization. These steps strengthen resilience and promote coordinated incident response, which is especially important for industries like healthcare that depend on defined procedures to maintain operational security.

Code of silence: cyber security strategies for combating deepfake disinformation

At a time when deepfake technology is extensively employed, this study explores the serious problems produced by deepfake misinformation and recommends a comprehensive cyber security architecture to lessen its effects. Deepfakes are a serious threat to the authenticity of digital information because they use sophisticated artificial intelligence algorithms that have outlived their original novelty. This study examines the psychological effects of manipulated media, sheds light on the intricacies of creating deepfakes, and examines actual incidents that highlight the pervasive effects of deepfake misinformation. Our suggested cyber security plans include cutting-edge detection algorithms, blockchain technologies and extensive outreach programmes. Through promoting a shared dedication to openness and truth, symbolised by the figurative ‘code of silence’, this study seeks to strengthen the digital environment against the ubiquitous impact of misleading content, thereby adding to the larger conversation about preserving authenticity and trust in an increasingly digital age.

The Role of Threat Intelligence in Enhancing Cybersecurity Posture

Organizations confront more complex and persistent cyberattacks in the quickly changing cyber threat landscape of today. Through the provision of actionable insights on emerging threats, adversary tactics, and vulnerabilities, cyber threat intelligence (CTI) becomes an increasingly important component in strengthening the cybersecurity posture of organizational networks. The importance of CTI and its useful uses in enhancing cybersecurity defences are examined in this research study. It explores the several kinds of threat intelligence, methods for compiling and evaluating threat information, and proactive steps that businesses may take to make the most of CTI. This study emphasizes the significance of incorporating CTI into cybersecurity plans to more effectively identify, prevent, and respond to cyber attacks through a thorough review of industry practices and case studies. Organizations may improve their defences against cyberattacks and enhance vital assets and data by comprehending the role that CTI plays in cybersecurity.

Integrating Enterprise Architecture into Cybersecurity Risk Management in Higher Education

Cybercriminals constantly seek new methods to infiltrate a company's defences, making cybersecurity investments essential. Enterprise architecture (EA) provides a systematic risk detection and mitigation process by emphasising the interdependencies between systems, data, processes, people, and other factors. This paper provides a comprehensive approach, also referred to as a process, based on EA to assist African universities in developing a comprehensive cybersecurity plan. The EA process comprises four pillars: business architecture, data architecture, application architecture, and technology architecture. African universities can develop a comprehensive cybersecurity strategy using an EA approach in cybersecurity to achieve institutional goals and objectives. The potential attack surface comprises isolated EA components and their interconnections.This article comprehensively examines various EA processes such as business, information, application, and technology architecture. These processes are carefully analysed to evaluate the organisational structures and uncover opportunities to enhance security protocols. Additionally, we delve deep into abstract security patterns, seeking to cultivate an environment of trustworthiness within complex systems. Our research findings underscore the significant potential within African higher education institutions. By embracing a model-based approach to risk analysis and mitigation, these institutions can fortify their cybersecurity defences to ensure uninterrupted business operations and enhance overall resilience in the face of evolving security challenges.When we combine EA and information security (ICS), we uncover many vulnerabilities malicious actors might exploit. By embracing a holistic EA-based methodology, institutions can craft and implement robust security protocols to safeguard their components and connections. Leveraging EA, our proposed integrated approach aims to forge a comprehensive cybersecurity risk management strategy tailored to the African higher education sector. This strategy seeks to facilitate the identification of critical elements and their intricate interrelationships, thus formulating an effective defence strategy against potential cyber threats. The synergy promises to elevate cybersecurity practices, ensure uninterrupted business operations, and fortify the continent's resilience.

Modern Cybersecurity Software Helps Utilities Avoid Cyberattacks

For small public water systems, vulnerability to cyberattacks is a serious concern. This is especially true for systems operating on a low budget for upgrading outdated information technology equipment and cybersecurity plans.

Survey of Cybersecurity in Smart Grids Protocols and Datasets

Smart grids are two-way communications grids that converge Information Technology (IT) and Operational Technology (OT) to transfer energy-related information between different industry components within the grid. Smart grids have changed the energy sector by increasing sustainability, efficiency and integrating renewable energy sources. However, smart grids are vulnerable to IT-related attacks because they rely on Information and Communication Technology (ICT). By surveying relevant papers and evaluating accessible statistics, this study explores cybersecurity in smart grids by examining current communication protocols and standards. We carefully compile various datasets with general information about four of the most smart grid-related datasets. Our study and conclusions address the key components of a smart grid and offer information that can help create cybersecurity plans specifically for smart grids. This research contributes to the discourse on smart grid security, which is important for preserving the stability of contemporary energy systems.

Managing Cyber Security Costs for Sustainable Competitive Advantage

Because of information technology, accounting systems need to manage cyber security operations. Cyber security plays a critical role and controlling information has become challenging task. The firms should measure and the costs related with applying cyber security plans. We developed a thinking to know the cyber security costs and the dimensions within the cyber security Framework produced by the airport affect on sustainable competitive advantage in response to the cyber security Improvement. The population consists of 6 airports in Iraq, and the sample size was 232 employers. The hypotheses formulated were tested with F-test statistics using Eviews software package version 12. This study focuses on the cyber security costs in the international era may be easily adopted by firms that are interested in improving competitive advantage. Findings show that managing and constantly improving cyber security operations costs positively have affected sustainable competitive advantage. The paper argued that changes in the sustainable competitive advantage that should be segmented in cost accounting systems to reflect whether those tasks are being performed as fit. Then, the conclusion for companies may also wish to customize the plans to better performance with their unique systems, structures, and work processes.

Fundamentals of Cyber Security

This study highlighted the importance of cybersecurity for organizations that hold databases, emphasizing the increasing need to secure sensitive data from all types of online attacks. Given the rate and complexity of attacks, organizations must recognize that data breaches can have major consequences, including financial losses, damage to reputation, and legal responsibility. Companies may better prepare to recognize and manage these risks if they are aware of the most frequent cyber-attacks, such as phishing, malware growth, and social engineering. Furthermore, the study analyzed several types of malware, such as viruses, adware, ransomware, and spyware, emphasizing the importance of effective security measures to prevent the assault and potential harm. as well as implementing strict access controls, encryption processes, and frequent data backups. By developing an effective cybersecurity plan, organizations may strengthen their resilience to cyberthreats and safeguard the confidentiality, integrity, and availability of their precious data assets.

Cybersecurity in Healthcare Through the 7-S Model Strategy

Abstract According to the 2019 HIMSS Cybersecurity Survey, most healthcare organizations are aware of the importance of cybersecurity, with 96% of respondents indicating that cybersecurity was a priority for their organization. Despite this, the survey also found that healthcare organizations are not adequately prepared for cyberattacks, with only 39% reporting that they had a comprehensive cybersecurity plan. This paper uses the 7-S Model strategy as a foundation for strategy development for healthcare organizations in a post-COVID-19 world.

An Evolutionary Game Theoretic Analysis of Cybersecurity Investment Strategies for Smart-Home Users against Cyberattacks

In the digital era, smart-home users face growing threats from cyberattacks that threaten their privacy and security. Hence, it is essential for smart-home users to prioritize cybersecurity education and training to secure their homes. Despite this, the high cost of such training often presents a barrier to widespread adoption and accessibility. This study aims to analyze the costs and benefits associated with various cybersecurity investment strategies for smart-home users in the context of cyberattacks. The study utilizes evolutionary game theory to model a game comprised of three populations: smart-home users, stakeholders, and attackers. We derive and analyze the replicator dynamics of this game to determine the evolutionarily stable strategy (ESS). Furthermore, we investigate the impacts of the costs and benefits of cybersecurity investment and cyberattack costs on the ESS. The findings indicate that incurring costs for cybersecurity training is beneficial for smart-home users to protect their homes and families. However, the training costs must be low and affordable for smart-home users in order to ensure their participation and engagement. Additionally, providing rewards for commitment to cybersecurity is crucial in sustaining interest and investment over the long term. To promote cybersecurity awareness and training for smart-home users, governments can incorporate it as a priority in national cybersecurity plans, provide subsidies for training costs, and incentivize good cybersecurity practices.

Interdicting Attack Plans with Boundedly Rational Players and Multiple Attackers: An Adversarial Risk Analysis Approach

Cybersecurity planning supports the selection of and implementation of security controls in resource-constrained settings to manage risk. Doing so requires considering adaptive adversaries with different levels of strategic sophistication in modeling efforts to support risk management. However, most models in the literature only consider rational or nonstrategic adversaries. Therefore, we study how to inform defensive decision making to mitigate the risk from boundedly rational players, with a particular focus on making integrated, interdependent planning decisions. To achieve this goal, we introduce a modeling framework for selecting a portfolio of security mitigations that interdict adversarial attack plans that uses a structured approach for risk analysis. Our approach adapts adversarial risk analysis and cognitive hierarchy theory to consider a maximum-reliability path interdiction problem with a single defender and multiple attackers who have different goals and levels of strategic sophistication. Instead of enumerating all possible attacks and defenses, we introduce a solution technique based on integer programming and approximation algorithms to iteratively solve the defender’s and attackers’ problems. A case study illustrates the proposed models and provides insights into defensive planning. Funding: A. Peper and L. A. Albert were supported in part by the National Science Foundation [Grant 2000986].

The concept of building security of the network with elements of the semiotic approach

The object of research: First, to identify and discuss the security problems of cyber-physical systems associated with the emergence of qualitatively new technologies and qualitatively new affordable artificial intelligence software. Secondly, building the concept of the security structure of a cyber-physical system based on the Zero Trust Security approach. Creation of a new secure load transfer structure based on the semiotic approach.
 Investigated problem: Information system security problems continue to cause significant costs and damage to organizations. Sustainability requires comprehensive and integrated security platforms that reach customers, whether they work at headquarters, in a branch office, or individually from random touchpoints.
 The main scientific results: the concept of a structured protection system with the Zero Trust Security approach has been developed. The structure of the semiotic analysis of the segmentation of the transmitted load on the blocks is proposed. Blocks by signs are subjected to individual analysis. According to the features, the blocks are transformed by the selected representation into an object/groups of objects. Groups for transmission in the load are tagged, have different coding severity (depth), depending on the risk assessment. Groups are transmitted through the network in different ways (paths) – VPN (different ESP), unencrypted tunnel, open access, etc.
 This solution improves the throughput of malicious load analysis prior to transmission. The performance overhead for encoding/decoding the load and encapsulating/de-encapsulating during transmission is reduced. The transmission bandwidth is increased.
 The area of practical use of the research results: businesses requiring secure access to on-premise resources and mission-critical cloud environments. Organizations using employees in distributed networks. Specialists in the deployment and analysis of the protection of cyber-physical systems.
 Innovative technological product: The semiotic security concept extends the zero-trust security model, which focuses on protecting network traffic within and between organizations. This concept uses load traffic segmentation, which combines an advanced analysis and transfer load transformation framework.
 This concept provides for integration with other cybersecurity technologies such as endpoint discovery and response (EDR) and security information and event management (SIEM) to provide a more comprehensive security solution.
 This solution improves the throughput of malicious load analysis prior to transmission. Reduced performance resources for encode/decode load and encapsulate/deencapsulate in transit.
 Scope of the innovative technological product: this concept can be applied to enterprises that already have some elements of zero trust in their corporate infrastructure, but cannot strictly control the state of the requested assets, are limited in implementing security policies for certain classes of users. This deployment model can also be applied to enterprises that use cloud services for individual business processes.
 It can be useful for researchers and administrators in the development of corporate cybersecurity plans, which uses the concepts of zero-trust and covers relationships between components, workflow planning, and access policies.

Cybersecurity Continuity Risks: Lessons Learned from the COVID-19 Pandemic

The scope and breadth of the COVID-19 pandemic were unprecedented. This is especially true for business continuity and the related area of cybersecurity. Historically, business continuity and cybersecurity are viewed and researched as separate fields. This paper synthesizes the two disciplines as one, thus pointing out the need to address both topics simultaneously. This study identifies blind spots experienced by businesses as they navigated through the difficult time of the pandemic by using data collected during the height of the COVID-19 pandemic. One major shortcoming was that most continuity and cybersecurity plans focused on single-axis threats. The COVID-19 pandemic resulted in multi-axes threats, pointing out the need for new business strategies moving forward. We performed multiple regression analysis and constructed a correlation matrix to capture significant relationships between percentage loss of revenue and levels of concern for different business activities moving forward. We assessed the most pervasive issues Florida small businesses faced in October 2020 and broke these down by the number of citations, the total number of impacts cited, and industry affectedness. Key security risks are identified and specific mitigation recommendations are given.

The impact of cyber resilience and robustness on supply chain performance: Evidence from the UAE chemical industry

This paper examines the impact of cyber resilience and supply chain (SC) robustness on supply chain performance in the UAE chemical industry. No prevailing empirical evidence makes this research unique and beneficial to the literature and future research related to cyber resilience in the chemical industry. Moreover, this research is a contemporary contribution to the research of the UAE chemical industry. The study applies a quantitative approach with causal, exploratory and analytical design. The magnitude of the industry is emphasized by choosing cluster sampling techniques. Data is collected from chemical manufacturing companies located in Abu Dhabi, UAE. A valid sample of 303 participants is used for data analysis. A positive direct impact with a significant level of cyber resilience and SC robustness on supply chain performance is found. Current hypothetical model assessment in one industry limits the research findings. It is recommended that other industries be investigated through longitudinal research. A system of diverse detection and defense mechanisms is required. For the chemical industry, an effective cyber security plan would strengthen resilience against cyberattacks and improve SC performance.

Cyber threat: its origins and consequence and the use of qualitative and quantitative methods in cyber risk assessment

PurposeConsumers increasingly rely on organisations for online services and data storage while these same institutions seek to digitise the information assets they hold to create economic value. Cybersecurity failures arising from malicious or accidental actions can lead to significant reputational and financial loss which organisations must guard against. Despite having some critical weaknesses, qualitative cybersecurity risk analysis is widely used in developing cybersecurity plans. This research explores these weaknesses, considers how quantitative methods might address the constraints and seeks the insights and recommendations of leading cybersecurity practitioners on the use of qualitative and quantitative cyber risk assessment methods.Design/methodology/approachThe study is based upon a literature review and thematic analysis of in-depth qualitative interviews with 16 senior cybersecurity practitioners representing financial services and advisory companies from across the world.FindingsWhile most organisations continue to rely on qualitative methods for cybersecurity risk assessment, some are also actively using quantitative approaches to enhance their cybersecurity planning efforts. The primary recommendation of this paper is that organisations should adopt both a qualitative and quantitative cyber risk assessment approach.Originality/valueThis work provides the first insight into how senior practitioners are using and combining qualitative and quantitative cybersecurity risk assessment, and highlights the need for in-depth comparisons of these two different approaches.

Securing Critical National Infrastructure Against Hacktivist

The acts of hacktivists in today's modern world might have extremely negative repercussions for the order and peace of countries. Hacktivists, by the very nature of their methodology, invariably target important government installations. This research focuses mostly on investigating the myriad of approaches that may be taken to cyber-secure important national infrastructure against the maneuvers that can be carried out by hacktivists. Inferences are drawn in this study from hacktivism episodes that occurred in the past and were documented by a variety of sources, some of which may be verified. A four-point cyber security plan for important national infrastructure has been developed as a way to provide direction for the execution of cybersecurity measures by key state facilities. This scheme was inspired by the ideas presented previously. Keywords: Critical National Infrastructure, Security, Hacktivists, Cyberspace, Hacking, Cybercrime