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See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/384858729 Zero Trust Cybersecurity: Procedures and Considerations in Context ArticleinEncyclopedia · October 2024 DOI: 10.3390/encyclopedia4040099 CITATIONS 3 READS 107 5 authors, including: Brady D. Lund University of North Texas 223 PUBLICATIONS4,142 CITATIONS SEE PROFILE Ziang Wang Baker University 9 PUBLICATIONS722 CITATIONS SEE PROFILE Ting Wang Emporia State University 66 PUBLICATIONS2,919 CITATIONS SEE PROFILE All content following this page was uploaded by Brady D. Lund on 03 November 2024. The user has requested enhancement of the downloaded file.
1 Zero Trust Cybersecurity: Procedures and Considerations in Context Brady D. Lund, Tae Hee Lee, Ziang Wang, Ting Wang, Nishith Reddy Mannuru [email protected]
2 Abstract In response to the increasing complexity and sophistication of cyber threats, particularly those enhanced by advancements in artificial intelligence, traditional security methods are proving insufficient. This paper explores the zero trust cybersecurity framework, which operates on the principle of "never trust, always verify" to mitigate vulnerabilities within organizations. Specifically, it examines the applicability of zero trust principles in environments where large volumes of information are exchanged, such as schools and libraries, highlighting the importance of continuous authentication, least privilege access, and breach assumption. The findings highlight avenues for future research that may help preserve the security of vulnerable organizations. Keywords: Zero Trust, Security Frameworks, Data Security, Security in Context
3 Introduction In a time where rapidly evolving threats – bolstered by advancements in technologies like artificial intelligence – pose substantial danger to organizational well-being, it is critical to adopt advanced security solutions to protect assets. Conventional methods of security are no longer sufficient, in isolation, to ensure organizational cybersecurity. Multifaceted approaches, which consider each element of an organization as a potential vulnerability, are requisite. Enter zerotrust cybersecurity, a security paradigm that embraces a zero-trust philosophy: in order to limit vulnerabilities, there is no default trust that any person or object within a network is what it claims or should have access to unnecessary segments of the network (Rose et al., 2020). This philosophy means that all users must continuously provide evidence that they are who they claim (e.g., through multi-factor authentication) and access is limited to only that information that is position critical. Organizations where large amounts of information are regularly exchanged and private records are secured – such as schools and libraries – are especially at risk from cyber threats. Recently, the Toronto Public Library fell victim to a cyberattack that hijacked its systems and data for months, crippling the organization’s ability to function properly and threatening patron privacy (Bridge & Zoledziowski, 2024). In these organizations, zero-trust cybersecurity practices may offer a way to remain resilient in the face of increasing threats. The purpose of this paper is to discuss how zero-trust cybersecurity principles may be integrated into learning and information organizations, to preserve the sanctity of these organizations’ information and records. Principles of Zero-Trust Cybersecurity In 2005, the Jericho Forum, a group of security experts, proposed a new approach to network security. Unlike the traditional method, which relied on firewalls to control traffic and address internal threats, this approach marked a significant departure from the established security model that emphasized a defined perimeter (Kerman, 2020). Building on these ideas, cybersecurity expert John Kindervag coined the term "zero trust" in 2010 while working at Forrester Research (Kerman, 2020, para. 2). The zero trust model operates on the assumption that systems will inevitably be compromised, and therefore, no entities—internal or external—should be automatically trusted. Instead, every request for resource access must be authenticated, authorized, and continuously validated before granting access (Department of Defense, 2022). Never trust, always verify The separation of trust from location is the core of zero-trust. The most significant difference between zero-trust and traditional security boundaries is that, in traditional models, trust is often based on location (Kang et al., 2023). In the traditional security model, once a user, device, application, or process is granted access to a network or resource, they typically have unrestricted access. The model assumes that everything in the network is inherently trusted (Kang et al., 2023). However, the current framework of static rule sets, firewalls, VPNs, and subnets can lead to severe vulnerabilities (Chen et al., 2019). First, there is often a lack of control or segmentation within the internal network, which means once an intruder or malicious insider breaches the perimeter defense and gains access to the internal network, they can easily move
4 laterally, accessing sensitive data and resources without further checks (Assunção, 2019). Second, intruders can exploit poorly protected devices or applications as entry points into the internal network. In this scenario, the security of the entire internal network can be compromised by the weakest link, making the network highly vulnerable (Chen et al., 2019). Third, the current architecture typically establishes connections through devices and services with known external IP addresses before verifying access, which makes the network susceptible to potential exploits targeting the initial connection points, increasing the risk of unauthorized access or network disruption (Kumar et al., 2019). Fourth, centralized log servers pose another vulnerability. Since log files are stored in one location, intruders who gain access to the log servers can potentially disguise their activities and clear their tracks by altering or deleting long entries (Buck et al., 2021). In contrast, the zero-trust framework emphasizes that network location does not imply trust. It assumes that all network traffic, devices, applications, and processes are potentially malicious and untrustworthy, constantly validating everything inside and outside the network (Buck et al., 2021). A key component of the model is the emphasis on authentication and the recognition that authentication is critical to network access control (Rivera et al., 2024). The approach to authentication has evolved from simple password-given systems to more sophisticated MultiFactor Authentication (MFA) techniques, enhancing security by requiring multiple authentication forms and reducing the risk associated with weak or compromised credentials (Ferrag et al., 2018; Ometov et al., 2018). The technique requires multiple authentication parts to authenticate the user, such as an SMS or phone call prompt or an authenticator application. For MFA administrators, on the other hand, it helps verify who is active on the system and identify hackers (Cunningham, 2018). Implementing MFA with digital certificates and tokens for devices and applications is another critical aspect of a robust security strategy. Certificates issued by a trusted certificate authority establish the identity of a device or application. When a device or application connects to a network or service, it presents its certificate, which the certificate authority verifies, ensuring that only authorized entities can access the network and preventing unauthorized access (Identity Management Institute, n.d.a). The token can be a physical device like a USB key and smart card, or a software token running on a smartphone, which enhances security further. Hardware tokens generate a one-time password or provide encryption keys when connected to a device (West, 2013). Software tokens generate one-time passwords or authenticate users or devices using encryption algorithms. Tokens add a vital layer of security by requiring the processing of a physical device or access to a specific application, dramatically reducing the risk of unauthorized access through stolen or guessed passwords (West, 2013). Implement the Least Privilege Implementing the principle of least privilege is another core principle of the zero-trust framework (Delene et al., 2019). It requires that users, applications, and systems have the minimum level of access to resources and data to perform the functions by employing strategies for monitoring user behaviors, verifying device IDs, and implementing dynamic authorization, which adjusts access in real-time based on the context and behavior of users or devices (Azad et
5 al., 2024; DelBene et al., 2019). The principle is crucial for reducing the attack surface within an organization network, as it limits the potential pathways an attacker could exploit. The organization significantly decreases the risk of unauthorized access and potential data breaches by ensuring limited authentication (. The approach enhances security and simplifies access management by clearly defining and enforcing boundaries for each role and device within the network (Bandari, 2023). Role-based access control is a foundational mechanism for achieving the principle of least privilege by assigning permissions based on specific roles. This approach simplifies user authorization management and reduces the possibility of unauthorized and excessive access, thereby preventing security vulnerabilities (Ferraiolo et al., 2001; Sandhu et al., 1995). However, the traditional role-based access control model has certain limitations. For instance, once permissions and roles are assigned, they remain static until manually updated by an administrator, preventing dynamic permissions adjustment. Furthermore, changes in system scale or business logic often require the creation of numerous roles to maintain user-role relationships, leading to a phenomenon known as role explosion (Ben Fadhel et al., 2015). Yao et al. (2020) emphasize that a trust-based control process model can enhance security with role-based access control by incorporating user behavior trust. For instance, a user profile is generated by extracting valid features from user behaviors and attributes, such as login mode, time, duration, device, and IP address. By analyzing the anomaly and security degree of each feature of the user's behavior and attributes and comparing the user profile with current behavior, the system can detect deviations from historical behavior, allowing for the dynamic adjustment of the user's trust level and the identification of abnormal users and behaviors (Yao et al., 2020). Network segmentation is another critical principle of least privilege, emphasizing the division of network entities into smaller subnets to minimize attackers' potential for lateral movement (Simpson & Foltz, 2021). The segmentation process involves several stages: grouping resources within each segment, defining short leases within the subnet by implementing the network typology, and establishing access control between the segments (Wagner et al., 2019). By default, links between instances within the same segment are considered reliable (Simpson, 2022). Kallasta (2024) categorizes segments into macro-segmentation and micro-segmentation. Marco-segmentation involves grouping multiple resources within each segment to ensure they can be collectively secured. In contrast, micro-segmentation places resources within each segment so that there is typically one, but occasionally several, highly protected resources within a single segment (Kallasta, 2024). Marco-segmentation enhances performance and reduces costs by simplifying network management, decreasing the complexity of protecting numerous small segments, and optimizing the use of network resources. Conversely, more granular access control, such as micro-segmentation, can improve reliability and security by implementing zerotrust principles across different segments (Simpson & Foltz, 2021). Therefore, it is crucial to balance the benefits of macroand micro-segmentation with the need for efficient communication within the network (Hemberg et al., 2018; Katsis et al., 2021). Assume Breach and Plan for the Worst
6 Despite the robust data security measures, a system can only be guaranteed to be utterly breachproof if taken offline (Ghosemajumder, 2017). The reality necessitates a comprehensive approach to monitoring all access-related entities, such as data streams, devices, services, and files, collecting as much environmental information as possible to enhance the reliability of security assessment, increase the credibility organizations should conduct thorough risk assessments to identify potential threats and vulnerabilities within their infrastructure, including potential attack vectors and likelihood of successful attack (Kujo, 2023). Organizations should develop a business continuity plan outlining specific actions and protocols (e.g., establishing clear communication channels, designating responsibilities and roles, and ensuring data backup and recovery processes) to maintain critical operations during and after a breach based on the risk assessments to prepare for worst-case scenarios. The scope of risk assessment can vary depending on the specific use case, but utilizing well-prepared templates built on best practices can ensure comprehensive evaluations regardless of scope (Kujo, 2023). Additionally, a risk assessment should be carried out every time the environment changes, such as by implementing new technologies, expanding or restructuring the network, integrating third-party services, or adopting new business processes. The changes introduce new vulnerabilities and alter the risk landscape. Organizations can identify and mitigate potential risks by performing a risk assessment before they are exploited, ensuring that security measures are always aligned with the current operational environment and helping to maintain a robust security posture (National Institute of Standards and Technology, 2012). Issues for Implementing Zero-Trust Insider Threat Management Insider threat is one of the critical risks posed by individuals within the organization (Ciampa, 2017). It is generally considered a top security concern in any organization, and also managing this inside threat is a critical component of Zero-Trust cybersecurity (Deane & Kraus, 2021). These threats can arise from current and former employees, contractors, business partners with legitimate access to the network and systems, or even cloud-computing vendors(Cappelli et al., 2012). In this situation, adopting the principle of "never trust, always verify" is essential in managing inside threats. Zero-trust cyber security can be applied effectively through continuous monitoring, strict access controls, and training for potential breaches (Ophoff et al., 2014; Rousseau, 2021). Continuous Monitoring The first step in managing insider threats is identifying potential threats and monitoring activities within the organization. Insiders are considered "Trusted" people, so This involves deploying sophisticated tools and techniques to detect anomalies and unusual behaviors that could indicate malicious intent or risky actions (Greitzer et al., 2019). According to Greitzer et al. (2019), insider threat mitigation includes all types of technology to alert, monitor, notify, and report on activities that occur on a network. For example, this involves deploying user behavior to monitor and analyze user activities continuously. Monitoring the behaviors and ensuring that these infiltrations are unsuccessful is a behavioral analysis goal for insider threat mitigation (Homoliak
7 et al., 2019a). It uses machine learning algorithms to establish normal behavior patterns and detect deviations that may indicate malicious intent or risky actions (Shah, 2021; Rabbani et al., 2021). Access Controls and Least Privilege Implementing least-privilege security is another cornerstone of inside threat management (Ciampa, 2017; Deane & Kraus, 2021). Suppose a user has excessive privileges, or a company did not map user privileges against their actual accesses. In that case, it may be hard to identify who accessed or allowed a user to sabotage the whole system (Deane & Kraus, 2021). To reduce this problem, well-defined Role-based access control (RBAC) ensures that users have only the permissions necessary for their roles, reducing the risk of unauthorized access (Ciampa, 2017; Deane & Kraus, 2021). Regular reviews and audits of access rights are also crucial to maintaining compliance and security (Ciampa, 2017; Deane & Kraus, 2021). Training and Awareness Human error and lack of awareness are significant contributors to insider threats. Therefore, training and awareness programs are essential components of inside threat management (Ciampa, 2017; Deane & Kraus, 2021). Educating employees about the importance of cybersecurity and how to recognize and respond to potential threats can significantly reduce risks. Conducting regular training sessions on cybersecurity best practices, such as recognizing phishing attempts, proper use of passwords, and secure handling of sensitive data, can enhance employees' ability to prevent and respond to security incidents. Customers/Users/Patrons Often one of the greatest potential vulnerabilities for an organization is not technology, or even internal employees, but rather the customers, users, or patrons who interact with the organization. Data is constantly being exchanged between the organization and its users. These individuals must simultaneously be viewed as subjects of cyberthreats as well as potential causes of cyberthreats – access must be balanced with ensuring control and security. Most members of the general public are woefully underprepared to prevent or address an emerging cyberthreats if targeted (Johri & Kumar, 2023; Moallem, 2019). One factor that appears important is whether the users have a stake in the technology they are using and the data that is being shared, as they are likely to be more protective of data on personal devices (Ameen et al., 2021). Another factor is whether they have ever received formal instruction about cyber security behavior, which has been shown to produce better security behavior (McCrohan et al., 2010). Transparency with users as to why new cybersecurity plans and procedures – some of which may seem inconvenient – are being implemented is key to earning buy-in (Norris et al., 2018). Cybersecurity Awareness for Customers/Users/Patrons Ensuring that users are well-informed about the risks associated with interacting with the organization and systems in general is a critical dimension for shoring up this vulnerability. Training should highlight the justifications for new procedures, clearly outline what the procedures are, and provide examples and activities, as needed, to reinforce the procedures. For
8 instance, an organization may offer exercises to highlight new procedures for multi-factor authentication or how to handle potential social engineering attacks (Miranda, 2018). Training could be formal (content the user must learn before they can access a system) or informal (reminders about best practices for cybersecurity) and may include targeted approaches aimed at particularly vulnerable user populations (Li et al., 2022). Organizations may seek to strike a balance between the potential costs of cyberthreats and the costs to train the public. The different approaches to cybersecurity awareness training that exist today provide options for the organization to consider (Zhang et al., 2021). User-Focused Solutions Users are not experts in cybersecurity. They very well may not even be familiar with the systems in use within an organization. Thus, it is critical to meet the users where they are at in terms of knowledge and ability. Systems that are designed with high usability are less likely to engage in system behavior that could leave the organization susceptible to threats (Nurse et al., 2011). Clear policy surrounding the use of these systems will further support these security initiatives (AlQadheeb et al., 2022). A Zero-Trust architecture will naturally support greater security, but it too needs buy-in, given the amount of change it may require (Phiayura & Teerakanok, 2023). Incorporating feedback from actual users may help support this process. Hybrid Cloud Protection Hybrid cloud environments, which integrate on-premises infrastructure with public and private cloud services, pose unique security challenges. Implementing Zero-Trust in these settings necessitates a comprehensive strategy to protect data, applications, and infrastructure across all platforms. The Zero-Trust Cybersecurity principle of "never trust, always verify" is essential for securing hybrid clouds. Unlike on-premises infrastructure, cloud systems are external to the organization. Numerous stakeholders and components are involved between the cloud vendor and the organization utilizing the cloud service. Challenges in Hybrid Cloud Security While hybrid cloud environments offer flexibility and scalability, they also introduce complexities in security management. Many researchers have identified the biggest challenges in cloud computing, including security and privacy (secure data storage, data confidentiality, accountability, and data encryption), high-speed access to the Internet, lack of audit features, portability, interoperability, linkage, organizational sustainability, and standardization, as well as maintaining consistent security policies across different environments, managing access controls, securing data both in transit and at rest, and ensuring visibility, privacy, and control over all components (Tissir et al., 2021). Tabrizchi and Rafsanjani (2020) emphasizes that the major challenge in the adoption of the cloud is security and these challenges require a robust security framework that integrates seamlessly across on-premises and cloud platforms, ensuring consistent policy enforcement and threat detection. The "never trust, always verify" principle is especially vital in hybrid cloud environments. Every access request, regardless of its origin, must be continuously authenticated and authorized. The dynamic nature of hybrid clouds, characterized by frequent data transfers between on-premises and cloud services, complicates
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