1,721,032 research outputs found
Modelling and Analysis of Network Security Policies
Nowadays, computers and network communications have a pervasive presence in all our daily activities. Their correct configuration in terms of security is becoming more and more complex due to the growing number and variety of services present in a network. Generally, the security configuration of a computer network is dictated by specifying the policies of the security controls (e.g. firewall, VPN gateway) in the network. This implies that the specification of the network security policies is a crucial step to avoid errors in network configuration (e.g., blocking legitimate traffic, permitting unwanted traffic or sending insecure data). In the literature, an anomaly is an incorrect policy specification that an administrator may introduce in the network. In this thesis, we indicate as policy anomaly any conflict (e.g. two triggered policy rules enforcing contradictory actions), error (e.g. a policy cannot be enforced because it requires a cryptographic algorithm not supported by the security controls) or sub-optimization (e.g. redundant policies) that may arise in the policy specification phase. Security administrators, thus, have to face the hard job of correctly specifying the policies, which requires a high level of competence. Several studies have confirmed, in fact, that many security breaches and breakdowns are attributable to administrators' responsibilities. Several approaches have been proposed to analyze the presence of anomalies among policy rules, in order to enforce a correct security configuration. However, we have identified two limitations of such approaches. On one hand, current literature identifies only the anomalies among policies of a single security technology (i.e., IPsec, TLS), while a network is generally configured with many technologies. On the other hand, existing approaches work on a single policy type, also named domain (i.e., filtering, communication protection). Unfortunately, the complexity of real systems is not self-contained and each network security control may affect the behavior of other controls in the same network. The objective of this PhD work was to investigate novel approaches for modelling security policies and their anomalies, and formal techniques of anomaly analysis. We present in this dissertation our contributions to the current policy analysis state of the art and the achieved results. A first contribution was the definition of a new class of policy anomalies, i.e. the inter-technology anomalies, which arises in a set of policies of multiple security technologies. We provided also a formal model able to detect these new types of anomalies. One of the results achieved by applying the inter-technology analysis to the communication protection policies was to categorize twelve new types of anomalies. The second result of this activity was derived from an empirical assessment that proved the practical significance of detecting such new anomalies. The second contribution of this thesis was the definition of a newly-defined type of policy analysis, named inter-domain analysis, which identifies any anomaly that may arise among different policy domains. We improved the state of the art by proposing a possible model to detect the inter-domain anomalies, which is a generalization of the aforementioned inter-technology model. In particular, we defined the Unified Model for Policy Analysis (UMPA) to perform the inter-domain analysis by extending the analysis model applied for a single policy domain to comprehensive analysis of anomalies among many policy domains. The result of this last part of our dissertation was to improve the effectiveness of the analysis process. Thanks to the inter-domain analysis, indeed, administrators can detect in a simple and customizable way a greater set of anomalies than the sets they could detect by running individually any other model
GreenShield: Optimizing Firewall Configuration for Sustainable Networks
Sustainability is an increasingly critical design feature for modern computer networks. However, green objectives related to energy savings are affected by the application of approximate cybersecurity management techniques. In particular, their impact is evident in distributed firewall configuration, where traditional manual approaches create redundant architectures, leading to avoidable power consumption. This issue has not been addressed by the approaches proposed in literature to automate firewall configuration so far, because their optimization is not focused on network sustainability. Therefore, this paper presents GreenShield as a possible solution that combines security and green-oriented optimization for firewall configuration. Specifically, GreenShield minimizes the power consumption related to firewalls activated in the network while ensuring that the security requested by the network administrator is guaranteed, and the one due to traffic processing by making firewalls to block undesired traffic as near as possible to the sources. The framework implementing GreenShield has undergone experimental tests to assess the provided optimization and its scalability performance
Automatic firewalls’ configuration using argumentation reasoning
Firewalls are widely used as the first frontier to protect the network from intrusions, vulnerability exploitations, and cyber-attacks. Usually, the configuration of this critical component of network security is done manually by network administrators that introduce human errors. In this paper, we present an automatic tool that is based on a formal framework, called ArgoFiCo. Our tool automatically configures the distributed firewalls of the network by generating conflict-free firewalls’ configuration. ArgoFiCo is based on abduction and argumentation reasoning and it permits the identification and resolution of anomalies in firewalls. Our tool provides an answer to the human error problem as it automatically populates the firewalls of a network, given the network topology and the high-level requirements of the network behaviour
Security automation for multi-cluster orchestration in Kubernetes
In the latest years, multi-domain Kubernetes architectures composed of multiple clusters have been getting more frequent, so as to provide higher workload isolation, resource availability flexibility and scalability for application deployment. However, manually configuring their security may lead to inconsistencies among policies defined in different clusters, or it may require knowledge that the administrator of each domain cannot have. Therefore, this paper proposes an automatic approach for the automatic generation of the network security policies to be deployed in each cluster of a multi-domain Kubernetes deployment. The objectives of this approach are to reduce of configuration errors that human administrators commonly make, and to create transparent cross-cluster communications. This approach has been implemented as a framework named Multi-Cluster Orchestrator, which has been validated in realistic use cases to assess its benefits to Kubernetes orchestration
Towards Security Automation in Virtual Networks
Nowadays virtual computer networks are characterized by high dynamism and complexity. However, these features made the traditional manual approaches for network security management error-prone, unoptimized and time-consuming. This paper discusses the research carried out during my Ph.D. program on network security automation. In particular, it presents an approach based on constraint programming that combines automation, formal verification, and optimization for network security management. This approach has been proved to be general enough by means of multiple applications that have been developed. In particular, this paper describes VEREFOO, a framework for the automatic configuration of security functions, and FATO, a framework for the automatic orchestration of security transients. This methodology is extensively evaluated using different metrics and tests, and it has been compared to state-of-the-art solutions and to the requirements of dynamic virtual networks
Towards an Efficient Management and Orchestration Framework for Virtual Network Security Functions
e recent years have witnessed a growth in the number of users connected to computer networks, due mainly to megatrends such as Internet of Things (IoT), Industry 4.0, and Smart Grids. Simultaneously, service providers started offering vertical services related to a specific business case (e.g., automotive, banking, and e-health) requiring more and more scalability and flexibility for the infrastructures and their management. NFV and SDN technologies are a clear way forward to address these challenges even though they are still in their early stages. Security plays a central role in this scenario, mainly because it must follow the rapid evolution of computer networks and the growing number of devices. e main issue is to protect the end-user from the increasing threats, and for this reason, we propose in this paper a security framework compliant to the Security-as-a-Service paradigm. In order to implement this framework, we leverage NFV and SDN technologies, using a user-centered approach. is allows to customize the security service starting from user preferences. Another goal of our work is to highlight the main relevant challenges encountered in the design and implementation of our solution. In particular, we demonstrate how significant is to choose an efficient way to configure the Virtual Network Security Functions in terms of performance. Furthermore, we also address the non-trivial problem of Service Function Chaining in an NFV MANO platform and we show what are the main challenges with respect to this problem
Design and implementation of a tool to improve error reporting for eBPF code
BPF is a rising trend in cloud computing, enabling user-defined programs to run in kernel space. This allows greater system control, especially in security and performance sensitive environments, like server operating systems, enhancing monitoring and observability. However, running user-defined programs into the kernel is a security risk, which is attempted to be mitigated by the eBPF verifier, a set of deep checks that identify and reject dangerous programs, leading to the kernel crash or, even worse, escalate privileges, leak sensitive data, or take control of the system. However, messages produced by the verifier are difficult to understand, and usually detached from the source code. This paper presents a tool designed to improve the developer’s experience by introducing readability improvements and explanations into the eBPF compilation pipeline, allowing developers to easily identify the line of C code that caused the error, to understand the issue and how to fix it
Automating the configuration of firewalls and channel protection systems in virtual networks
Network virtualization has revolutionized the traditional approaches for security configuration. If in the past error-prone and unoptimized manual operations were performed by human beings, nowadays automated methodologies are employed for establishing the configuration of virtual security functions that can enforce the requested security properties. However, these techniques can only perform the automatic configuration of a single function type at a time. This restriction may be excessively limiting, because the configuration of some functions may directly impact others, and they cannot be configured in sequence. In light of these considerations, the paper investigates the stated problem for the two most commonly used security functions, packet filtering firewalls and channel protection systems. It also proposes a preliminary approach to automatically perform their joint intent-based configuration, by defining the problem through a Maximum Satisfiability Modulo Theories formulation
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