Research on Discovering Threat Intelligence of Generative Disnformation Under the Background of Weaponized Attack Vision
[Research purpose]This paper conducts an empirical study on related threat intelligence discovery,explores the mechanism of weaponized generative disinformation and preventive measures,and provides references for related individuals.[Research method]First-ly,it designs a recognition scheme for weaponized attacks on generative disinformation.The scheme focuses on three parts:judgment of generative disinformation,analysis of the characteristics of weaponized attacks,establishment of recognition criteria,and determination of the overall process.Secondly,it constructs a threat intelligence discovery model and implement it.The model construction is based on three aspects:threat situation,threat scale,and threat level.Finally,to test the effectiveness of the recognition scheme and intelligence discovery model,it carries out an empirical analysis,using the Telegram group space under the"Palestinian-Israeli conflict"as an exam-ple.[Research conclusion]Both the recognition scheme and the intelligence discovery model can achieve the expected results.Relevant individuals and departments should refine the recognition scheme,optimize the intelligence model,quantify relevant indicators,and deepen insight strategies to prevent generative disinformation in the future.
万方数据
维普
