Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation

In the digital society of "open sharing of information and interconnection of everything", the information traces characterized with "massive, multi-source and explosive growth" in the internet provide rich "mineral deposits" for open-source intelligence collecting. Intelligence processing enabled by advanced artificial intelligence technologies, such as natural language processing and computer vision, greatly improves the efficiency of intelligence production and is widely used in the field of security. However, generative artificial intelligence represented by deepfake has opened the "Pandora's box" of artificial intelligence and is used to create digital wildfires and put false information, which confuse the public and bring crucial challenges to the integration of intelligent intelligence. This paper focuses on open-source intelligence and deeply analyzes its characteristics and existing challenges. Then, this paper summarizes the development of advanced artificial intelligence technology in opensource intelligence fusion, summarizes the existing intelligence spoofing attack methods and intelligence anti-spoofing defense methods from the perspective of confrontation. Finally, new directions of intelligence fusion in the future are proposed to provide reference for the trusted intelligence fusion and provide support for intelligent situation analysis and auxiliary decision making.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation

SHILAP Revista de lepidopterología
Cell Image Analysis Techniques
article

Research on intelligence fusion: a holistic analysis of open-source intelligence fusion from the perspective of confrontation

article en

Abstract

In the digital society of "open sharing of information and interconnection of everything", the information traces characterized with "massive, multi-source and explosive growth" in the internet provide rich "mineral deposits" for open-source intelligence collecting. Intelligence processing enabled by advanced artificial intelligence technologies, such as natural language processing and computer vision, greatly improves the efficiency of intelligence production and is widely used in the field of security. However, generative artificial intelligence represented by deepfake has opened the "Pandora's box" of artificial intelligence and is used to create digital wildfires and put false information, which confuse the public and bring crucial challenges to the integration of intelligent intelligence. This paper focuses on open-source intelligence and deeply analyzes its characteristics and existing challenges. Then, this paper summarizes the development of advanced artificial intelligence technology in opensource intelligence fusion, summarizes the existing intelligence spoofing attack methods and intelligence anti-spoofing defense methods from the perspective of confrontation. Finally, new directions of intelligence fusion in the future are proposed to provide reference for the trusted intelligence fusion and provide support for intelligent situation analysis and auxiliary decision making.

SHILAP Revista de lepidopterología
Peace, Justice and strong institutions
Openalex Percentile: Top 38%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.