It seems that not much work - too little in fact, is being done to find solutions to detect SE attacks. I would appreciate any references to the latest SE detection techniques research.
Thank you Belai for linking my conference paper. I am currently busy doing new work within the field of Social Engineering detection. I have recently published two new papers which first of all better defines the field of Social Engineering and Social Engineering Attacks. https://www.researchgate.net/publication/263588276_Towards_an_Ontological_Model_Defining_the_Social_Engineering_Domain and https://www.researchgate.net/publication/263588935_Social_Engineering_Attack_Framework . I also have a student whom is currently investigating voice stress analysis and layered voice analysis for Social Engineering detection.
Conference Paper Towards an Ontological Model Defining the Social Engineering Domain
Conference Paper Social Engineering Attack Framework
I have recently had a journal paper approved for publication in ACM Computing Surveys titled "A taxonomy of attacks and survey of defence mechanisms for semantic social engineering attacks".
The taxonomy proposed provides a generic, linear classification structure for technically classifying any semantic attack. It is designed to inform developers/researchers of the key technical concepts that should be considered when implementing SE defence mechanisms. The paper also includes a literature on current defenses mechanisms for semantic attacks, contrasting the threat landscape and the associated mitigation techniques in a single comparative matrix.
For the pre-publication copy of the journal paper please see: