연구 분야: Strategies
학회: International Conference on Machine Learning, Image Processing, Network Security and Data Sciences
Pretention of documents in today’s era is a common problem for organizations as it has become so easier for fabricators to forge a document by using advanced imaging systems and softwares. Documents are very essential part of human society. These documents are images, contract deeds, identity cards, bank cheques, property papers etc. Documents also plays a very vital role in proceedings of law enforcement agencies as they are the only written roof of anything that existed or happened at some point of time or going to happen and also the proof of a person’s identity. But there existed some sort of risk associated with these documents that are tempering of document, false document creation, and illegal editing. Due to the absence of a set and specific methodology and very wide genre of documents it often found tedious for the law enforcement agencies to adopt an appropriate technique to check the authenticity of the questioned document. In this paper, a sophisticated framework based on goal-driven approach with concept graphs is proposed. Further, attack tree is developed to present threats on document forensics. Attack scenario is also visualized by integrating computer systems and possible attacks to realize those threats. And anti-forensic model is also integrated to visualize the attack scenario in document related crime and obstruction that can be encountered while investigation process of the same respectively.
| 발행 연도 | 2023년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | India |
| 사이트 | Springer |
| 좋아요 수 | 0 |