Fault Attacks In Symmetric Key Cryptosystems

Fault attacks are among the well-studied topics in the area of cryptography. These attacks constitute a powerful tool to recover the secret key used in the encryption process. Fault attacks work by forcing a device to work under non-ideal environmental conditions (such as high temperature) or external disturbances (such as glitch in the power supply) while performing a cryptographic operation. The recent trend shows that the amount of research in this direction; which ranges from attacking a particular primitive, proposing a fault countermeasure, to attacking countermeasures; has grown up substantially and going to stay as an active research interest for a foreseeable future. Hence, it becomes apparent to have a comprehensive yet compact study of the (major) works. This work, which covers a wide spectrum in the present day research on fault attacks that fall under the purview of the symmetric key cryptography, aims at fulfilling the absence of an up-to-date survey. We present mostly all aspects of the topic in a way which is not only understandable for a non-expert reader, but also helpful for an expert as a reference

Release of Unverified Plaintext: Tight Unified Model and Application to ANYDAE

International audienceAuthenticated encryption schemes are usually expected to offer confidentiality and authenticity. In case of release of unverified plaintext (RUP), an adversary gets separated access to the decryption and verification functionality, and has more power in breaking the scheme. Andreeva et al. (ASIACRYPT 2014) formalized RUP security using plaintext awareness, informally meaning that the decryption functional-ity gives no extra power in breaking confidentiality, and INT-RUP security, covering authenticity in case of RUP. We describe a single, unified model, called AERUP security, that ties together these notions: we prove that an authenticated encryption scheme is AERUP secure if and only if it is conventionally secure, plaintext aware, and INT-RUP secure. We next present ANYDAE, a generalization of SUNDAE of Banik et al. (ToSC 2018/3). ANYDAE is a lightweight deterministic scheme that is based on a block cipher with block size n and arbitrary mixing functions that all operate on an n-bit state. It is particularly efficient for short messages, it does not rely on a nonce, and it provides maximal robustness to a lack of secure state. Whereas SUNDAE is not secure under release of unverified plaintext (a fairly simple attack can be mounted in constant time), ANYDAE is. We make handy use of the AERUP security model to prove that ANYDAE achieves both conventional security as RUP security, provided that certain modest conditions on the mixing functions are met. We describe two simple instances, called MONDAE and TUESDAE, that conform to these conditions and that are competitive with SUNDAE, in terms of efficiency and optimality

Design of Efficient Symmetric-Key Cryptographic Algorithms

兵庫県立大学大学院202

Factors moderating the risk of PTSD, emotional and behavioral problems amongst children in war zones and refugees escaping from warfare

Children who grow up in war zones are typically exposed to multiple stressors including physical harm, intimidation or other forms of psychological trauma. This can also lead to Post Traumatic Stress Disorder. On the other hand, resilient children show no psychiatric distress even when they are exposed to severe traumatic stress. Additionally, the number of refugee children due to warfare reasons is increasing. Past empirical studies have recognized that the process of migration and living life as a refugee is detrimental to the psychological health of young refugees. In this symposium we will examine the prevalence and determinants of resiliency among refugee children and children living in conditions of war and violence. The first study investigated the psychological, social and somatic effects of chronic traumatic experience on Palestinian children over six years (2000-2006). The sample consisted of 1,137 children who completed: Checklist of Traumatic Experiences, Symptoms of PTSD Scale, Network of Psycho-Social Support and Personality Assessment Questionnaire. It was found that 41% of the participants suffered from PTSD. From these 25% suffered from cognitive symptoms; 22% suffered from emotional symptoms; 22% suffered from social behavioral problems; 17% suffered from academic and 14% suffered from somatic symptoms. The support of family, friends, relatives and teachers, and positive personality traits were found to be strong protective factors aiding recovery from trauma and PTSD. The second study evaluated the relation of exposure to war traumas, and violence in the family, community, and school, to PTSD symptoms, emotional and behavioral problems amongst 330 Palestinian children. Results highlight the additive effects of exposure to war traumas and violence in different settings. In addition, it was found that psychosocial support reduced the effects of environmental factors in developing PTSD and behavioral problems. The third study included data from two refugee charity organizations in the UK. There were 200 refugee children coming from war zones and 210 control children (non-refugees). The study aimed to look at a range of factors to assess the differences between the above groups with regards to their well-being and peer and sibling relationships. Results showed that refugee children were significantly more likely to be in the clinical range for total difficulties and to have higher health and physical problems, negative friendship quality and low self esteem compared to the control group. Refugees who were bullied at home and at school were also more likely to develop PTSD symptoms. Protective factors are also discussed in this study. The above studies emphasize the fact that interventionists should consider the full range of sources of environmental risk for PTSD and emotional and behavioral problems and should strengthen the psychosocial support for children in or coming from war zones

Globally Optimal Catalysts: Computerbasierte Optimierung von abstrakten katalytischen Einbettungen für beliebige chemische Reaktionen

In the context of inverse design of molecules with desired optimal properties, the long-term goal of this Thesis is to develop a general framework which tackles the design of molecular systems for an optimal catalytic effect onto arbitrary chemical reactions. For any given reaction, an arrangement of an additional molecular framework around this reaction center is sought such that the energetic reaction barrier is lowered as much as possible. As necessary abstraction layer, the so-called globally optimal catalyst (GOCAT) model is introduced, and, furthermore, evolutionary algorithms (EAs) are harnessed as implemented in our global optimization suite for chemical problems, ogolem, which was highly extended to allow for these catalysis optimizations. Starting with a maximally reductionistic approach for studying the non-bonding interactions, electrostatic GOCATs are introduced that consist of arbitrary numbers, distributions and strengths of partial point charges around reacting molecules, mostly surrounding these on a common exposed surface. In the end, two reactions are studied in detail within the general topic of electrostatic catalysis. Some of the initially present model approximations are already sufficiently lifted, still-existing ones are critically assessed and further future extensions to the framework are discussed. Moreover, many method development matters are addressed: They range from optimal shared-memory parallelization, exemplified for global parameter optimization of the reactive force field, ReaxFF, via diversity control parameters for the EAs, applied to a cluster structure optimization problem, to EA operator benchmarks and optimizations of abstract electrostatics.Im Kontext von inversem Design von Molekülen mit optimalen Eigenschaften versucht die vorliegende Arbeit als Langzeitziel eine passende Plattform zu entwickeln, welche das generelle Design molekularer Systeme für einen optimalen Katalyseeffekt auf beliebige chemische Reaktionen projektiert. Für eine gegeben Reaktion soll eine hinzukommende chemische Umgebung komponiert werden, welche die Reaktionsenergiebarriere so weit wie möglich vermindert. Als notwendige Abstraktionsschicht wird das sogenannte Modell des globally optimal catalyst (GOCAT) eingeführt und außerdem kommen Evolutionäre Algorithmen (EAs) zur Anwendung, wie sie bereits in unserem Programmpaket zur Lösung allgemeiner globaler Optimierungsprobleme der Chemie, ogolem, bereitgestellt werden, welches jedoch deutlich für diese Katalyseoptimierungen ergänzt wurde. Angefangen in einem maximal-reduktionistischen Ansatz werden elektrostatische GOCATs erarbeitet, die aus einer beliebigen Anzahl, Verteilung und Stärke von Partialladungen bestehen und rund um die reagierenden Moleküle drapiert werden, meist auf einer gemeinsamen exponierten Oberfläche. Insgesamt werden zwei Reaktionen detailliert untersucht im generellen Kontext von elektrostatischer Katalyse. Einige eingangs vorhandene Modellannahmen werden bereits systematisch verbessert, noch vorhandene kritisch beleuchtet und künftige Erweiterungen auseinandergesetzt. Weiterhin werden unterschiedliche Methodenentwicklungsaspekte angesprochen: Diese reichen von verbesserter Parallelisierung in Mehrprozessorarchitekturen, beispielhaft gezeigt anhand einer globalen Parameteroptimierung des reaktiven Kraftfeldes ReaxFF, über Diversitätskontrollparameter des EAs, illustriert mittels eines Clusterstrukturoptimierungsproblems, bis hin zu EA-Operator-Testevaluationen und allgemeinen abstrakten Elektrostatikoptimierungen