Randomized General Indices for Evaluating Damage Through Malefactor Social Engineering Attacks
- 14 October 2019
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Algebraic Bayesian Networks: The Use of Parallel Computing While Maintaining Various Degrees of ConsistencyPublished by Springer Science and Business Media LLC ,2019
- Modelling of the social engineering attacks based on social graph of employees communications analysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- A system for hardware aided decision tree ensemble evolutionJournal of Parallel and Distributed Computing, 2018
- Behavior of Brazilian Banks Employees on Facebook and the Cybersecurity GovernanceJournal of Applied Security Research, 2017
- Generation of Source Data for Experiments with Network Attack Detection SoftwareJournal of Physics: Conference Series, 2017
- Models and Algorithms for the Information System’s Users’ Protection Level Probabilistic EstimationPublished by Springer Science and Business Media LLC ,2016
- Users’ of Information Systems Protection Analysis from Malefactor’s Social Engineering Attacks Taking into Account Malefactor’s Competence ProfileAdvances in Intelligent Systems and Computing, 2016
- Fighting against phishing attacks: state of the art and future challengesNeural Computing & Applications, 2016
- Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logicFuzzy Sets and Systems, 1997