MindMap Gallery Artificial Intelligence and Security
For the healthy and orderly development of the artificial intelligence industry, safety is an important guarantee, required by the situation, and an indispensable prerequisite for the implementation of some technologies.
Edited at 2022-11-30 17:19:34This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
Artificial Intelligence and Security
Analysis of the impact of artificial intelligence technology on cyberspace security
Cyberspace security should pursue comprehensive security of software, hardware and information
Physical system security at the physical level
Security at this level is the material foundation and basic guarantee of cyberspace security, including computer hardware, Internet networks, Internet of Things facilities and equipment, etc. It needs to be able to resist various random or man-made threats to the physical world such as destruction, damage, and network disconnection. event;
Network system security at the software level
Security at this level is the basis for ensuring the stable operation of the network environment and computer systems, and the security of user information and data. It includes computer systems, information infrastructure, computer software, user data, etc. It needs to be able to resist various malicious network surveillance, intrusions, and detections. , penetration, degradation and destruction;
Network information security at the information level
Security at this level is the core pursuit and important guarantee of cyberspace security, including the confidentiality, availability, integrity, controllability and non-repudiation of information generated and circulated in the network environment. The goal is to pursue the use of network information in data collection, The security of all aspects of transmission, storage, management, analysis, processing and use, etc., to avoid adverse effects and harm to politics, military, economy and society.
Artificial intelligence technology will be a powerful enabler of cyberspace security governance
First, it helps to identify and respond to cyberspace security threats more efficiently, autonomously and accurately.
Through in-depth mining and correlation analysis of cyberspace security elements and security risks contained in big data such as cyberspace information, behavior, and situation, artificial intelligence technology helps to build a dynamic, accurate and efficient cyberspace security threat awareness and early warning system. , and at the same time, it can also promote the construction of an active defense system for cyberspace security threats that is adaptive, distributed collaboration and evolutionary optimization.
The second is overtaking on corners and changing lanes to help promote new business forms of network security governance.
Whether it is strategic innovation or tactical applications such as deep learning frameworks and artificial intelligence (AI) chips, new cybersecurity formats empowered by artificial intelligence have attracted much attention. In the face of foreign blockades and technical barriers, our country is not only carrying out targeted "fixed-point blasting" of special technologies, but is also expected to achieve the "full flowering" of artificial intelligence at the overall level and establish multi-point linkages with independent and complete intellectual property rights in artificial intelligence. The intelligent technology system forms the core competitiveness of AI and promotes overtaking in corners and changing lanes in my country's network security governance.
Third, it helps overcome the serious shortage of human resources for cybersecurity governance professionals.
According to a McAfee survey, companies generally believe that they need to increase their security personnel by up to 24% to effectively respond to cyber threats. Especially in the face of the sudden COVID-19 epidemic, the global collaborative working and threat disposal of network security personnel will face many challenges [3]. Using artificial intelligence technology combined with the experience of network security personnel can better and faster promote the autonomy and automation of cyberspace security perception and defense systems, greatly reduce the technical difficulty and psychological pressure of security risk analysis and threat response, and improve network security. Security governance efficiency
Artificial intelligence technology will bring major challenges to cyberspace security governance
The higher the degree of autonomy and intelligence of artificial intelligence technology, the more obvious its "double-edged sword" characteristics will be. At present, while competing to promote the development of artificial intelligence technology at home and abroad, they are also attaching great importance to the various security risks it may contain and actively respond to the many challenges that artificial intelligence technology brings to cyberspace security governance such as complexity and uncertainty.
First, artificial intelligence technology may widen the information technology generation gap between my country and powerful countries.
The level of basic research on the basic theories and key algorithms of artificial intelligence will directly determine the upper limit of the development of artificial intelligence technology. At present, there is still a certain gap between my country's artificial intelligence technology and foreign advanced levels in the field of basic research, which seriously restricts the sustainable development of my country's artificial intelligence. According to the 2019 Nature magazine article "By 2030, can China successfully lead the AI world?" According to statistics [6], 68% of the world's leading AI experts are located in the United States, and China only accounts for 6%; in terms of paper influence, the number of highly cited papers in China, which represents the forefront of artificial intelligence development, is only 18.9% of that in the United States. , ranking 6th in the world; 93% of Chinese researchers use artificial intelligence open source frameworks developed by American companies such as Tensorflow and Caffee. The autonomy, security, and reliability of China's artificial intelligence core technology will be the fundamental guarantee for information security and cyberspace security.
Second, artificial intelligence technology may accelerate the weaponization and battlefield transformation of cyberspace.
Artificial intelligence technology will further amplify the role of cyberspace security in offense and defense, making "the strong get stronger and the strong always strong" and promote the development and application of cyberspace offensive and defensive equipment. The US military also attaches great importance to the enabling role of artificial intelligence technology in cyberspace combat capabilities [3]. In recent years, the US military has successively launched cognitive network and electronic countermeasures projects such as "Adaptive Radar Countermeasures" (ARC), "Adaptive Electronic Warfare Behavior Learning" (BLADE), and "Saboteur Intelligent Network and Electronic Countermeasures Equipment" (SRx) [7 -8], compete for control of the cyberspace space through the deep integration of artificial intelligence and cyberspace countermeasures, such as deep perception of the cyberspace situation, independent optimization of the cyberspace countermeasures, and online evaluation of the effectiveness of the cyberspace countermeasures. Our country must attach great importance to and be vigilant about the trend of weaponization and battlefieldization of cyberspace promoted by artificial intelligence.
Third, the security risks of artificial intelligence may lead to major catastrophes in cyberspace.
Algorithms and data are the core keys to the development of artificial intelligence. The more control there is, the more resources are available for artificial intelligence to learn, the more breakthrough progress can be made, and the more likely it is that there will be some risky consequences. With the deep integration of artificial intelligence technology and cyberspace, the ontological risks of artificial intelligence will likely be amplified with the ubiquitous interconnection of cyberspace, especially the Internet of Things, and lead to major catastrophes in cyberspace.
One is risks in the physical world. The security risks of intelligent IoT systems in machinery, chemical industry, nuclear industry and other industries may damage the atmosphere, ocean, vegetation and other earth environments.
The second is personal and property risks. The safety risks of unmanned intelligent systems such as drones, driverless cars, and medical robots may directly endanger human life and property safety. The third is national social risks. The security risks of intelligent social networks such as fake news, fake videos, and financial fraud may cause social unrest and endanger national security.