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Hidenori Tsuji

Publications and source records attributed to Hidenori Tsuji.

2 recordsLinked to original sources

Policy Description Language for Authorization using Logic-Based Programming

Recently, with the impossibility of eradicating the vulnerabilities of information systems, we must prepare for the occurrence of the security incident by the multi-layer defense called the Defense-in-Depth strategy. In the multi-layer defense, it is important to authorize accesses in fine-grained granularity to compose each layer effectively, and many access control models are proposed to follow them. However, policy description languages proposed so far cannot express the models appropriately in proper granularity. In this paper, we propose a policy description language which can designate many kinds of conditions for access control, such as the dynamic status of an application process, as an element of decision data, and implement it in Datalog. Using the proposed language, we compose the policy of SELinux, which is a major implementation achieving the multi-layer defense, and we confirm the advantages of the proposed language by evaluating its validity and expressiveness.

cs.CR↗

Development of precession Lorentz transmission electron microscopy

Lorentz transmission electron microscopy (LTEM) is a powerful tool for high-resolution imaging of magnetic textures, including their dynamics under external stimuli and ultrafast nonequilibrium conditions. However, magnetic imaging is often hindered by non-magnetic diffraction contrast arising from inhomogeneous sample deformation or a non-parallel electron beam. In this study, we develop a precession LTEM system that can suppress diffraction contrast by changing the incident angle of the electron beam relative to the sample in a precessional manner. By comparing LTEM images acquired at different precession angles ($θ$), we show that diffraction contrast is significantly reduced with increasing $θ$. However, large $θ$ values lead to an undesired broadening of the magnetic contrast, highlighting the importance of optimizing $θ$. Furthermore, defocus-dependent measurements reveal that magnetic contrast is particularly improved at small defocus values, suggesting that precession LTEM can achieve higher spatial resolution. These findings demonstrate the potential of precession LTEM as a powerful technique for studying magnetic dynamics.

cond-mat.mtrl-sci↗