Cryptanalysis of the Cryptosystems Based on the Generalized Hidden Discrete Logarithm Problem

In this paper, we will show the hidden discrete logarithm problem(HDLP) and the generalized form of HDLP(GHDLP) over non-commutative associative algebras (FNAAs) can be reduced to discrete logarithm problem(DLP) in a finite field through analyzing the eigenvalues of the representation matrix. Through the analysis of computational complexity, we will show that HDLP and GHDLP is not are not good improvements of DLP.With all the instruments in hand, we will show how some schemes based on GHDLP can be broken. Thus we can conclude that, all ideas of constructing cryptographic schemes based on the two problem are of no practical significance

DAG-Based Attack and Defense Modeling: Don't Miss the Forest for the Attack Trees

This paper presents the current state of the art on attack and defense modeling approaches that are based on directed acyclic graphs (DAGs). DAGs allow for a hierarchical decomposition of complex scenarios into simple, easily understandable and quantifiable actions. Methods based on threat trees and Bayesian networks are two well-known approaches to security modeling. However there exist more than 30 DAG-based methodologies, each having different features and goals. The objective of this survey is to present a complete overview of graphical attack and defense modeling techniques based on DAGs. This consists of summarizing the existing methodologies, comparing their features and proposing a taxonomy of the described formalisms. This article also supports the selection of an adequate modeling technique depending on user requirements

Security Analysis of System Behaviour - From "Security by Design" to "Security at Runtime" -

The Internet today provides the environment for novel applications and processes which may evolve way beyond pre-planned scope and purpose. Security analysis is growing in complexity with the increase in functionality, connectivity, and dynamics of current electronic business processes. Technical processes within critical infrastructures also have to cope with these developments. To tackle the complexity of the security analysis, the application of models is becoming standard practice. However, model-based support for security analysis is not only needed in pre-operational phases but also during process execution, in order to provide situational security awareness at runtime. This cumulative thesis provides three major contributions to modelling methodology. Firstly, this thesis provides an approach for model-based analysis and verification of security and safety properties in order to support fault prevention and fault removal in system design or redesign. Furthermore, some construction principles for the design of well-behaved scalable systems are given. The second topic is the analysis of the exposition of vulnerabilities in the software components of networked systems to exploitation by internal or external threats. This kind of fault forecasting allows the security assessment of alternative system configurations and security policies. Validation and deployment of security policies that minimise the attack surface can now improve fault tolerance and mitigate the impact of successful attacks. Thirdly, the approach is extended to runtime applicability. An observing system monitors an event stream from the observed system with the aim to detect faults - deviations from the specified behaviour or security compliance violations - at runtime. Furthermore, knowledge about the expected behaviour given by an operational model is used to predict faults in the near future. Building on this, a holistic security management strategy is proposed. The architecture of the observing system is described and the applicability of model-based security analysis at runtime is demonstrated utilising processes from several industrial scenarios. The results of this cumulative thesis are provided by 19 selected peer-reviewed papers

Total Quality Management and Six Sigma

In order to survive in a modern and competitive environment, organizations need to carefully organize their activities regarding quality management. TQM and six sigma are the approaches that have been successful in solving intricate quality problems in products and services. This volume can help those who are interested in the quality management field to understand core ideas along with contemporary efforts done in the field and authored as case studies in this volume. This volume may be useful to students, academics and practitioners across diversified disciplines

Corrélation d’alertes : un outil plus efficace d’aide à la décision pour répondre aux intrusions

Security Information and Event Management (SIEM) systems provide the security analysts with a huge amount of alerts. Managing and analyzing such tremendous number of alerts is a challenging task for the security administrator. Alert correlation has been designed in order to alleviate this problem. Current alert correlation techniques provide the security administrator with a better description of the detected attack and a more concise view of the generated alerts. That way, it usually reduces the volume of alerts in order to support the administrator in tackling the amount of generated alerts. Unfortunately, none of these techniques consider neither the knowledge about the attacker’s behavior nor the enforcement functionalities and the defense perimeter of the protected network (Firewalls, Proxies, Intrusion Detection Systems, etc). It is still challenging to first improve the knowledge about the attacker and second to identify the policy enforcement mechanisms that are capable to process generated alerts. Several authors have proposed different alert correlation methods and techniques. Although these approaches support the administrator in processing the huge number of generated alerts, they remain limited since these solutions do not provide us with more information about the attackers’ behavior and the defender’s capability in reacting to detected attacks. In this dissertation, we propose two novel alert correlation approaches. The first approach, which we call honeypot-based alert correlation, is based on the use of knowledge about attackers collected through honeypots. The second approach, which we call enforcement-based alert correlation, is based on a policy enforcement and defender capabilities’ modelLes SIEMs (systèmes pour la Sécurité de l’Information et la Gestion des Événements) sont les cœurs des centres opérationnels de la sécurité. Ils corrèlent un nombre important d’événements en provenance de différents capteurs (anti-virus, pare-feux, systèmes de détection d’intrusion, etc), et offrent des vues synthétiques pour la gestion des menaces ainsi que des rapports de sécurité. La gestion et l’analyse de ce grand nombre d’alertes est une tâche difficile pour l’administrateur de sécurité. La corrélation d’alertes a été conçue afin de remédier à ce problème. Des solutions de corrélation ont été développées pour obtenir une vue plus concise des alertes générées et une meilleure description de l’attaque détectée. Elles permettent de réduire considérablement le volume des alertes remontées afin de soutenir l’administrateur dans le traitement de ce grand nombre d’alertes. Malheureusement, ces techniques ne prennent pas en compte les connaissances sur le comportement de l’attaquant, les fonctionnalités de l’application et le périmètre de défense du réseau supervisé (pare-feu, serveurs mandataires, Systèmes de détection d’intrusions, etc). Dans cette thèse, nous proposons deux nouvelles approches de corrélation d’alertes. La première approche que nous appelons corrélation d’alertes basée sur les pots de miel utilise des connaissances sur les attaquants recueillies par le biais des pots de miel. La deuxième approche de corrélation est basée sur une modélisation des points d’application de politique de sécurit