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Even for the more traditional insurance industry, the Microservices Architecture (MSA) style plays an increasingly important role in provisioning insurance services. However, insurance businesses must operate legacy applications, enterprise software, and service-based applications in parallel for a more extended transition period. The ultimate goal of our ongoing research is to design a microservice reference architecture in cooperation with our industry partners from the insurance domain that provides an approach for the integration of applications from different architecture paradigms. In Germany, individual insurance services are classified as part of the critical infrastructure. Therefore, German insurance companies must comply with the Federal Office for Information Security requirements, which the Federal Supervisory Authority enforces. Additionally, insurance companies must comply with relevant laws, regulations, and standards as part of the business’s compliance requirements. Note: Since Germany is seen as relatively ’tough’ with respect to privacy and security demands, fullfilling those demands might well be suitable (if not even ’over-achieving’) for insurances in other countries as well. The question raises thus, of how insurance services can be secured in an application landscape shaped by the MSA style to comply with the architectural and security requirements depicted above. This article highlights the specific regulations, laws, and standards the insurance industry must comply with. We present initial architectural patterns to address authentication and authorization in an MSA tailored to the requirements of our insurance industry partners.
Big-Data-Datenplattformen werden immer beliebter, um große Datenmengen bei Bedarf analysieren zu können. Zu den fünf gängigsten Big-Data-Verarbeitungsframeworks gehören Apache Hadoop, Apache Storm, Apache Samza, Apache Spark, und Apache Flink. Zwar unterstützen alle fünf Plattformen die Verarbeitung großer Datenmengen, doch unterscheiden sich diese Frameworks in ihren Anwendungsbereichen und der zugrunde liegenden Architektur. Eine Reihe von Studien hat sich bereits mit dem Vergleich dieser Big-Data-Frameworks befasst, indem sie sie anhand eines bestimmten Leistungsindikators bewertet haben. Die IT-Sicherheit dieser Frameworks wurde dabei jedoch nicht betrachtet. In diesem Beitrag werden zunächst allgemeine Anforderungen und Anforderungen an die IT-Sicherheit der Datenplattformen definiert. Anschließend werden die Datenplattform-Konzepte unter Berücksichtigung der aufgestellten Anforderungen analysiert und gegenübergestellt.
Dramatic increases in the number of cyber security attacks and breaches toward businesses and organizations have been experienced in recent years. The negative impacts of these breaches not only cause the stealing and compromising of sensitive information, malfunctioning of network devices, disruption of everyday operations, financial damage to the attacked business or organization itself, but also may navigate to peer businesses/organizations in the same industry. Therefore, prevention and early detection of these attacks play a significant role in the continuity of operations in IT-dependent organizations. At the same time detection of various types of attacks has become extremely difficult as attacks get more sophisticated, distributed and enabled by Artificial Intelligence (AI). Detection and handling of these attacks require sophisticated intrusion detection systems which run on powerful hardware and are administered by highly experienced security staff. Yet, these resources are costly to employ, especially for small and medium-sized enterprises (SMEs). To address these issues, we developed an architecture -within the GLACIER project- that can be realized as an in-house operated Security Information Event Management (SIEM) system for SMEs. It is affordable for SMEs as it is solely based on free and open-source components and thus does not require any licensing fees. Moreover, it is a Self-Contained System (SCS) and does not require too much management effort. It requires short configuration and learning phases after which it can be self-contained as long as the monitored infrastructure is stable (apart from a reaction to the generated alerts which may be outsourced to a service provider in SMEs, if necessary). Another main benefit of this system is to supply data to advanced detection algorithms, such as multidimensional analysis algorithms, in addition to traditional SIEMspecific tasks like data collection, normalization, enrichment, and storage. It supports the application of novel methods to detect security-related anomalies. The most distinct feature of this system that differentiates it from similar solutions in the market is its user feedback capability. Detected anomalies are displayed in a Graphical User Interface (GUI) to the security staff who are allowed to give feedback for anomalies. Subsequently, this feedback is utilized to fine-tune the anomaly detection algorithm. In addition, this GUI also provides access to network actors for quick incident responses. The system in general is suitable for both Information Technology (IT) and Operational Technology (OT) environments, while the detection algorithm must be specifically trained for each of these environments individually.
Die Konvergenz von Netzwerken ist ein zunehmender Trend im Bereich der Automatisierung. Immer mehr Anlagenbetreiber streben eine Vereinheitlichung der Netzwerke in ihren Anlagen an. Dies führt zu einer nahtlosen Netzwerkstruktur, einer vereinfachten Überwachung und einem geringeren Schulungsaufwand für das Personal, da nur eine einheitliche Netzwerktechnologie gehandhabt werden muss. Ethernet-APL ist ein Teil des Puzzles für ein solches konvergentes Netzwerk und unterstützt verschiedene Echtzeitprotokolle wie PROFINET, EtherNet, HART-IP sowie das Middleware-Protokoll OPC UA. Dieses Papier gibt einen Überblick über die Auswirkungen von Ethernet-APL-Feldgeräten auf die OT-Sicherheit und schlägt vor, wie die OT-Sicherheit für diese Geräte gewährleistet werden kann.
Network convergence is an increasing trend in the automation domain. More and more plant owners strive for a unification of networks in their plants. This yields a seamless network structure, simplified supervision, and reduced training effort for the personnel, as only one unified network technology needs to be handled. Ethernet-APL is one piece of the puzzle for such a converged network, supporting various real time protocols like PROFINET, EtherNet, HART-IP as well as the middleware protocol OPC UA. This paper gives an overview on the impact of Ethernet-APL field devices to OT security and proposes how to ensure OT security for them.
The impact of vertical and horizontal integration in the context of Industry 4.0 requires new concepts for the security of industrial Ethernet protocols. The defense in depth concept, basing on the combination of several measures, especially separation and segmentation, needs to be complimented by integrated protection measures for industrial real-time protocols. To cover this challenge, existing protocols need to be equipped with additional functionality to ensure the integrity and availability of the network communication, even in environments, where possible attackers can be present. In order to show a possible way to upgrade an existing protocol, this paper describes a security concept for the industrial Ethernet protocol PROFINET.
For anomaly-based intrusion detection in computer networks, data cubes can be used for building a model of the normal behavior of each cell. During inference an anomaly score is calculated based on the deviation of cell metrics from the corresponding normality model. A visualization approach is shown that combines different types of diagrams and charts with linked user interaction for filtering of data.
Intrusion detection systems and other network security components detect security-relevant events based on policies consisting of rules. If an event turns out as a false alarm, the corresponding policy has to be adjusted in order to reduce the number of false positives. Modified policies, however, need to be tested before going into productive use. We present a visual analysis tool for the evaluation of security events and related policies which integrates data from different sources using the IF-MAP specification and provides a “what-if” simulation for testing modified policies on past network dynamics. In this paper, we will describe the design and outcome of a user study that will help us to evaluate our visual analysis tool.
Planer und Betreiber von Produktionsanlagen stehen vor der Frage, welche Normen für die IT-Sicherheitskonzepte und ggf. auch für eine Auditierung dieser Anlagen anzuwenden sind. Da die Verantwortlichkeit in Bezug auf die IT-Sicherheit für die Operational Technology (OT) oft in anderen Händen liegt, als die für Information Technology (IT), gibt es hier gelegentlich abweichende Auffassungen darüber welche Normen zu Grunde zu legen sind.
Personen aus dem IT-Umfeld fokussieren in der Regel auf die Normreihe ISO 27001, während Personen aus dem OT-Umfeld eher die Normreihe IEC 62443 favorisieren. Dieser Beitrag beschreibt die Grundlagen und Ausrichtung der beiden Normreihen und gibt Anregungen, in welchem Kontext welche die Normen sinnvoll und ggf. auch kombiniert nutzbar sind.
Das Dokument schließt mit einer Empfehlung für ein Vorgehen im Bereich von Produktionsanlagen für die Fertigungs- und Prozessindustrie (OT-Security). Abschließend wird im Anhang noch am Beispiel einer Abwasserbehandlungsanlage die Anwendbarkeit der Normen diskutiert.
The network security framework VisITMeta allows the visual evaluation and management of security event detection policies. By means of a "what-if" simulation the sensitivity of policies to specific events can be tested and adjusted. This paper presents the results of a user study for testing the usability of the approach by measuring the correct completion of given tasks as well as the user satisfaction by means of the system usability scale.