A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison

Intrusion Detection based on a Novel Hybrid Learning Approach

Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...

Discovering Vulnerable Functions: A Code Similarity Based Approach

An Approach to Models’ Comparison based on their Semantics

Abstact. Whenever a model is subjected to a model transformation, we are faced with the problem of validating the compliance of the output model with the input one. This paper tackles the issue of comparing models bound to the same development process or exhibiting a potential of resemblance that can be exploited. The models’ comparison is based on the semantics of the metamodel elements used t...

A computation study on semantics based weighted sentence similarity

Semantic similarity is the essential part of automatic question answering system, and the computation of semantic similarity based on ontology can provide more various semantic information compared with the traditional method. In this paper, we firstly propose a semantic similarity algorithm used in the sentence similarity computation, combining relations of semantics, hierarchical structure an...

Towards Semantics-based Ontology Similarity

As the Semantic Web emerges the problem of semantic heterogeneity is becoming more acute. Ontology matching techniques aim at tackling this problem by establishing correspondences between elements of the ontologies. These techniques rely on distance metrics, often called (dis)similarity measures, to assess the similarity of elements within the ontologies. Most of these approaches are either ter...