Investigating Malware Campaigns With Semantic Technologies

Investigating The Use Of Semantic Technologies In Spatial Mapping Applications

Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient handling of spatial queries, the reconciliation of the heterogeneity at the semantic and geo-representation levels, maintaining the quality of...

Semantic Malware Detection

Polymorphic and metamorphic malware use code obfuscation techniques to construct new variants which preserve the semantics of the original but change the code syntax, evading current compiled code based detection methods. Dynamic slicing is a technique that, given a variable of interest within a program, isolates a relevant subset of executed program code that influences that variable. Using dy...

THE CYBER ESPIONAGE BLUEPRINT: Understanding Commonalities In Targeted Malware Campaigns

Semantic Malware Detection by Deploying Graph Mining

Today malware is a serious threat to our society. Several researchers are studying detection and mitigation of malware threats. On the other hand malware authors try to use obfuscation techniques for evading detection. Unfortunately usual approach (e.g., antivirus software) use signature based method which can easily be evaded. For addressing these shortcomings dynamic methods have been introdu...

Personal Knowledge Mapping with Semantic Web Technologies

Semantic Web technologies promise great benefits for Personal Knowledge Management (PKM) and Knowledge Management (KM) in general when data needs to be exchanged or integrated. However, the Semantic Web also introduces new issues rooted in its distributed nature as multiple ontologies exist to encode data in the Personal Information Management (PIM) domain. This poses problems for applications ...