124 research outputs found

    Analysing and upgrading the network infrastructure of a supermarket chain

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    This thesis is part of a project consisting on the network replacement of all supermarket chain's stores. The motivation of this renewal is that the store's network has become outdated, obsolete and unsecure. In this thesis, the weak points of the old network are analysed and a proposal for its settlement and improvement is shown step by step, starting from scratch. In addition, the infrastructure of both networks is also reviewed, analysing what are the characteristics of nowadays network devices available on the market and its manufacturers. The proposed final design incorporates Layer 3 and Layer 2 diagrams, including the planning of firewalls provision, routing, switching and redundancy of the network devices. An insight on the protocols that are currently used to overcome arising issues are also discussed

    The Use of Firewalls in an Academic Environment

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    Network Security Automation

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    L'abstract è presente nell'allegato / the abstract is in the attachmen

    Towards Automated Network Configuration Management

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    Modern networks are designed to satisfy a wide variety of competing goals related to network operation requirements such as reachability, security, performance, reliability and availability. These high level goals are realized through a complex chain of low level configuration commands performed on network devices. As networks become larger, more complex and more heterogeneous, human errors become the most significant threat to network operation and the main cause of network outage. In addition, the gap between high-level requirements and low-level configuration data is continuously increasing and difficult to close. Although many solutions have been introduced to reduce the complexity of configuration management, network changes, in most cases, are still manually performed via low--level command line interfaces (CLIs). The Internet Engineering Task Force (IETF) has introduced NETwork CONFiguration (NETCONF) protocol along with its associated data--modeling language, YANG, that significantly reduce network configuration complexity. However, NETCONF is limited to the interaction between managers and agents, and it has weak support for compliance to high-level management functionalities. We design and develop a network configuration management system called AutoConf that addresses the aforementioned problems. AutoConf is a distributed system that manages, validates, and automates the configuration of IP networks. We propose a new framework to augment NETCONF/YANG framework. This framework includes a Configuration Semantic Model (CSM), which provides a formal representation of domain knowledge needed to deploy a successful management system. Along with CSM, we develop a domain--specific language called Structured Configuration language to specify configuration tasks as well as high--level requirements. CSM/SCL together with NETCONF/YANG makes a powerful management system that supports network--wide configuration. AutoConf supports two levels of verifications: consistency verification and behavioral verification. We apply a set of logical formalizations to verifying the consistency and dependency of configuration parameters. In behavioral verification, we present a set of formal models and algorithms based on Binary Decision Diagram (BDD) to capture the behaviors of forwarding control lists that are deployed in firewalls, routers, and NAT devices. We also adopt an enhanced version of Dyna-Q algorithm to support dynamic adaptation of network configuration in response to changes occurred during network operation. This adaptation approach maintains a coherent relationship between high level requirements and low level device configuration. We evaluate AutoConf by running several configuration scenarios such as interface configuration, RIP configuration, OSPF configuration and MPLS configuration. We also evaluate AutoConf by running several simulation models to demonstrate the effectiveness and the scalability of handling large-scale networks

    Secure Remote Control and Configuration of FPX Platform in Gigabit Ethernet Environment

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    Because of its flexibility and high performance, reconfigurable logic functions implemented on the Field-programmable Port Extender (FPX ) are well suited for implementing network processing such as packet classification, filtering and intrusion detection functions. This project focuses on two key aspects of the FPX system. One is providing a Gigabit Ethernet interface by designing logic for a FPGA which is located on a line card. Address Resolution Protocol (ARP) packets are handled in hardware and Ethernet frames are processed and transformed into cells suitable for standard FPX application. The other effort is to provide a secure channel to enable remote control and configuration of the FPX system through public internet. A suite of security hardware cores were implemented that include the Advanced Encryption Standard (AES), Triple Data Encryption Standard (3DES), Hashed Message Authentication Code (HMAC), Message Digest Version 5 (MD5) and Secure Hash Algorithm (SHA-1). An architecture and an associated protocol have been developed which provide a secure communication channel between a control console and a hardware-based reconfigurable network node. This solution is unique in that it does not require a software process to run on the network stack, so that it has both higher performance and prevents the node from being hacked using traditional vulnerabilities found in common operating systems. The mechanism can be applied to the design and implementation of re-motely managed FPX systems. A hardware module called the Secure Control Packet Processor (SCPP) has been designed for a FPX based firewall. It utilizes AES or 3DES in Error Propagation Block Chaining (EPBC) mode to ensure data confidentiality and data integrity. There is also an authenticated engine that uses HMAC. to generate the acknowledgments. The system can protect the FPX system against attacks that may be sent over the control and configuration channel. Based on this infrastructure, an enhanced protocol is addressed that provides higher efficiency and can defend against replay attack. To support that, a control cell encryption module was designed and tested in the FPX system

    SUBSURFACE REPOSITORY INTEGRATED CONTROL SYSTEM DESIGN

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    Scalable attack modelling in support of security information and event management

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    Includes bibliographical referencesWhile assessing security on single devices can be performed using vulnerability assessment tools, modelling of more intricate attacks, which incorporate multiple steps on different machines, requires more advanced techniques. Attack graphs are a promising technique, however they face a number of challenges. An attack graph is an abstract description of what attacks are possible against a specific network. Nodes in an attack graph represent the state of a network at a point in time while arcs between nodes indicate the transformation of a network from one state to another, via the exploit of a vulnerability. Using attack graphs allows system and network configuration information to be correlated and analysed to indicate imminent threats. This approach is limited by several serious issues including the state-space explosion, due to the exponential nature of the problem, and the difficulty in visualising an exhaustive graph of all potential attacks. Furthermore, the lack of availability of information regarding exploits, in a standardised format, makes it difficult to model atomic attacks in terms of exploit requirements and effects. This thesis has as its objective to address these issues and to present a proof of concept solution. It describes a proof of concept implementation of an automated attack graph based tool, to assist in evaluation of network security, assessing whether a sequence of actions could lead to an attacker gaining access to critical network resources. Key objectives are the investigation of attacks that can be modelled, discovery of attack paths, development of techniques to strengthen networks based on attack paths, and testing scalability for larger networks. The proof of concept framework, Network Vulnerability Analyser (NVA), sources vulnerability information from National Vulnerability Database (NVD), a comprehensive, publicly available vulnerability database, transforming it into atomic exploit actions. NVA combines these with a topological network model, using an automated planner to identify potential attacks on network devices. Automated planning is an area of Artificial Intelligence (AI) which focuses on the computational deliberation process of action sequences, by measuring their expected outcomes and this technique is applied to support discovery of a best possible solution to an attack graph that is created. Through the use of heuristics developed for this study, unpromising regions of an attack graph are avoided. Effectively, this prevents the state-space explosion problem associated with modelling large scale networks, only enumerating critical paths rather than an exhaustive graph. SGPlan5 was selected as the most suitable automated planner for this study and was integrated into the system, employing network and exploit models to construct critical attack paths. A critical attack path indicates the most likely attack vector to be used in compromising a targeted device. Critical attack paths are identifed by SGPlan5 by using a heuristic to search through the state-space the attack which yields the highest aggregated severity score. CVSS severity scores were selected as a means of guiding state-space exploration since they are currently the only publicly available metric which can measure the impact of an exploited vulnerability. Two analysis techniques have been implemented to further support the user in making an informed decision as to how to prevent identified attacks. Evaluation of NVA was broken down into a demonstration of its effectiveness in two case studies, and analysis of its scalability potential. Results demonstrate that NVA can successfully enumerate the expected critical attack paths and also this information to establish a solution to identified attacks. Additionally, performance and scalability testing illustrate NVA's success in application to realistically sized larger networks
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