Most implementations of public key cryptography employ exponentiation algorithms. Side-channel attacks on secret exponents are typically bound to the leakage of single executions due to cryptographic protocols or side-channel countermeasures such as blinding. We propose for the first time, to use a well-established class of algorithms, i.e. unsupervised cluster classification algorithms such as...

The problem of frequent pattern mining from non-temporal databases is studied extensively by various researchers working in areas of data mining, temporal databases and information retrieval. However, Conventional frequent pattern algorithms are not suitable to find similar temporal association patterns from temporal databases. A Temporal database is a database which can store past, present and...

Solution of the problem of optimal school scheduling is very important to make the work of comprehensive schools more effective. Here the sequence of teaching subjects, regarded as tools, can be changed. One needs to reduce the sum of gaps (“empty” hours) in the teacher schedules. There should be no gaps for students. Different classes are considered as different tasks. The classrooms, includin...

Deep learning (DL)-based techniques have recently proven to be very successful when applied profiled side-channel attacks (SCA). In a real-world SCA scenario, attackers gain knowledge about the target device by getting access similar prior attack. However, most state-of-the-art literature performs only proof-of-concept attacks, where traces intended for profiling and attacking are acquired cons...

An experiment investigating the elastic local buckling response of trough girders composed of thin profiled steel sheeting has been undertaken Beam tests were performed to promote initial local buckling in a region of constant moment in the elastic range of structural response. The results of the experiments were compared with an elastic complex semi-analytical finite strip method of analysis, ...