We show how to extend hash-tree based data signatures to server-assisted personal digital signature schemes. The new signature scheme does not use trapdoor functions and is based solely on cryptographic hash functions and is thereby, considering the current state of knowledge, resistant to quantum computational attacks. In the new scheme, we combine hash-tree data signature (timestamping) solut...

Gastric cancer (GC) is one of the most common types of cancer and the second leading cause of cancer-associated mortality. Identification of novel biomarkers is critical to prolonging patient survival. MicroRNAs (miRNAs) proved to play diverse roles in the physiological and pathological state in cancers including GC. Herein we were aimed at performing a meta-analysis on miRNA profiling studies ...

Abstract Signature is an infinite graded sequence of statistics known to characterize geometric rough paths. While the use signature in machine learning successful low-dimensional cases, it suffers from curse dimensionality high-dimensional as number features truncated transform grows exponentially fast. With idea Convolutional Neural Network, we propose a novel neural network address this prob...

The concept of genome signature allows sequence comparisons without alignment. It relies on the premise that oligonucleotide compositions of DNA segments from the same or closely related genomes tend to be more similar than those from distantly related genomes. This concept has been used in detection of lateral gene transfer, phylogenetic classification of metagenome sequences (binning), and in...

random number generation is one of the human abilities. it is proven that the sequence of random numbers generated by people do not follow full randomness criteria. these numbers produced by brain activity seem to be completely non stationary. in this paper, we show that there is a distinction between the random numbers generated by different people who provides the discrimination capability, a...

In this paper, we propose an approach for automatic generation of novel intrusion signatures. This approach can be used in the signature-based Network Intrusion Detection Systems (NIDSs) and for the automation of the process of intrusion detection in these systems. In the proposed approach, first, by using several one-class classifiers, the profile of the normal network traffic is established. ...

Sequence signature databases such as PROSITE, which include amino acid segments that are indicative of a protein's function, are useful for protein annotation. Lamentably, the annotation is not always accurate. A signature may be falsely detected in a protein that does not carry out the associated function (false positive prediction, FP) or may be overlooked in a protein that does carry out the...

Gait recognition is an important biometric technique for video surveillance tasks, due to the advantage of using it at distance. In this paper, we present a persistent homology-based method to extract topological features (the so-called topological gait signature) from the the body silhouettes of a gait sequence. It has been used before in several conference papers of the same authors for human...