Risk portrait driven active defense deployment method

Abstract

This invention relates to the field of broadcast television security technology, specifically disclosing a proactive defense method for broadcast security based on risk profiling. By constructing a three-tiered collaborative responsibility decoupling architecture, the broadcast duty team is divided into three roles: A (dedicated to signal monitoring and situational awareness), B (dedicated to business process management), and C (dedicated to overall decision-making), achieving clear responsibilities and efficient collaboration. A focus-based rotation mechanism is established, mandating the interchange of A and B roles to reset personnel focus and create complementary verification. A multi-dimensional hidden danger database is constructed, and a weighted risk priority coefficient model is used to quantitatively assess hidden dangers, generating contextualized risk profile reports. Risk profiles are transformed into explicit broadcast control front-end instructions, driving focused monitoring and process operations, forming cross-verification, and new data is fed back to iteratively optimize the model, forming a proactive defense closed loop. This invention can improve personnel duty efficiency and risk identification accuracy, reduce broadcast security risks, and achieve long-term security for broadcasting.

Description

Technical Field

[0001] This invention relates to the field of broadcast television security technology, specifically to a proactive defense method for broadcast security based on risk profiling. Background Technology

[0002] As media convergence deepens and technologies such as ultra-high definition, IP-based systems, and cloud computing are widely applied, broadcast control systems are becoming increasingly complex, leading to an exponential increase in the technological risks and operational challenges they face. However, the industry's commonly used secure broadcasting model still primarily relies on the traditional paradigm of "manual screen monitoring and passive response." In an increasingly dynamic and complex broadcasting environment, the inherent structural flaws and efficiency bottlenecks of this paradigm are becoming increasingly apparent. Decreased attention span: Long-term, continuous monitoring tasks can lead to "lower vigilance".

[0003] Delayed risk response: Traditional alarm mechanisms and manual discovery methods are inherently delayed in identifying non-sudden and latent risks, often only initiating a response after a failure occurs, lacking the ability to prevent them in advance.

[0004] High coupling of responsibilities: Frontline staff often have to take on multiple responsibilities such as monitoring, auditing, operation, and coordination at the same time. They frequently switch between multiple tasks, resulting in excessive cognitive load and difficulty in focusing on core security work.

[0005] Information silos and collaboration barriers: Lack of information sharing between departments, reliance on point-to-point communication for emergency instructions, and blurred boundaries of authority and responsibility lead to low efficiency in emergency collaboration and a high risk of missing the window of opportunity for response.

[0006] Physical environmental interference: Traditional linear workstation layouts suffer from severe sound and light interference, limited management visibility, and lengthy collaboration paths, which further exacerbate staff fatigue and prolong emergency response time.

[0007] Therefore, there is an urgent need for a new method of security broadcasting that can systematically solve the above problems and achieve a leap from passive response to active defense, from experience-driven to data-driven, and from individual combat to collaborative linkage. Summary of the Invention

[0008] The purpose of this invention is to provide a proactive defense security method based on risk profiling, which aims to solve the problems of passive, delayed response, and low collaborative efficiency in the existing security mode. By deeply integrating process reconstruction, data-driven approach, human factor optimization, and spatial design, a self-evolving and continuously optimized proactive defense system is constructed.

[0009] To achieve the above objectives, the technical solution provided by this invention is: a proactive defense security broadcasting method based on risk profiling, comprising the following steps: Step S1: Construct a three-level collaborative responsibility decoupling architecture, dividing the broadcast duty team into three professional roles: Role A, specializing in high-intensity signal monitoring and system situational awareness; Role B, specializing in the full lifecycle management of business support processes; and Role C, specializing in overall coordination and emergency decision-making. Step S2: Establish a cyclical rotation mechanism based on focus science, using a preset focus work unit as the cycle, and forcibly swap the roles of personnel in position A and position B, resetting personnel's focus by switching task types; Step S3: Construct a data-driven risk profile identification and generation model, collect multi-dimensional historical data to establish a hidden danger database, quantify and assess hidden dangers through a weighted risk priority coefficient model, and generate a contextualized risk profile report for specific broadcast tasks. Step S4: Construct a proactive defense closed-loop process driven by risk profiles, transform risk profile reports into explicit broadcast control front-end instructions, combine them with a cyclical rotation mechanism to execute focused monitoring and process operations, form cross-validation, and feed new data generated during the execution process back to the hidden danger database for iterative optimization.

[0010] Furthermore, in step S1, position A is responsible for the immediate detection and handling of emergencies; position B is responsible for the verification and procedural operation of program files, broadcast schedules, and subtitles; and position C is responsible for external coordination, quality supervision, and risk mitigation.

[0011] Furthermore, in step S2, the preset focus work unit is 60 to 90 minutes.

[0012] Furthermore, in step S2, when personnel from position A rotate to position B, their experience in monitoring the system status of the previous cycle is internalized into the risk prediction ability of position B; when personnel from position B rotate to position A, they conduct key inspections of the operational results of the previous cycle, forming a complementary verification.

[0013] Furthermore, in step S3, the hidden danger database is structured and stored using a data model with five dimensions: channel, personnel, event, time, and responsible department. It also includes fields for unique hidden danger identifier, risk quantification value, associated assets, current status, and discovery date.

[0014] Further, in step S3, the calculation formula for the weighted risk priority coefficient model is: in, Score the probability of occurrence. To influence the severity score, To score the difficulty of the test, , , These are the corresponding weight coefficients, and .

[0015] Furthermore, in step S3, the contextualized risk profile report includes the risk level, scope of impact, probability of occurrence, related assets, and primary emergency actions.

[0016] Furthermore, in step S4, the explicit broadcast control front-end instructions include key monitoring periods, channels, equipment, key operating points, and a list of the highest risk hazards.

[0017] The advantages of this invention compared to the prior art are: This invention clarifies the core work boundaries of each position by separating the responsibilities of positions A, B, and C, avoiding overlapping responsibilities and shirking of responsibility, and enabling each position to focus on core business; the three-level collaboration forms a closed loop of "monitoring-support-coordination", ensuring rapid response to emergencies, implementation of standardized processes, and reducing safety hazards caused by unclear responsibilities.

[0018] This invention forces the A and B roles to switch, using 60-90 minute work units as focus units, thereby resetting personnel's focus and reducing potential risks caused by negligence. The role switching creates complementary verification, enabling monitoring experience to feed back into process management, process inspection to improve monitoring, and enhancing the fault tolerance of safety broadcasting.

[0019] This invention establishes a structured hazard database by collecting multi-dimensional data, and quantitatively assesses hazards by combining a weighted risk priority coefficient model; it generates scenario-based risk reports for specific broadcast tasks, providing precise risk guidance and solving the problems of traditional assessments being mainly qualitative and having poor adaptability.

[0020] This invention transforms risk profiles into explicit broadcast control instructions, combines them with a rotation mechanism for focused monitoring and cross-verification, and feeds new data back to the hidden danger database to achieve model iteration, forming a closed loop of "prediction-execution-feedback-optimization" to improve the long-term guarantee capability of safe broadcasting.

[0021] This invention effectively addresses the core pain points of safe broadcasting by organically combining multiple links. It allows for flexible adjustment of parameters according to different broadcasting scenarios, and the potential hazard database and risk model can be continuously optimized. This provides support for the upgrading of safe broadcasting technology, ensuring the safe and efficient conduct of broadcasting work, and has high practical value and promotion significance. Attached Figure Description

[0022] Figure 1 This is a flowchart of the proactive defense security method based on risk profiling of the present invention.

[0023] Figure 2 This is a diagram of the three-level collaborative responsibility decoupling architecture. Detailed Implementation

[0024] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0025] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0026] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0027] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0028] The following detailed description of the proactive defense security method based on risk profiling driven by the present invention, with reference to the accompanying drawings, is provided in further detail.

[0029] Combined with appendix Figure 1-2 The specific implementation process of the proactive defense security broadcasting method based on risk profiling in this invention is as follows: A proactive security protection method based on risk profiling, characterized by the following steps: Step S1: Construct a three-tiered collaborative responsibility decoupling architecture The broadcast duty team underwent a professional role restructuring, forming a three-tiered structure with clear responsibilities and complementary collaboration: Position A (Security Sentinel): Dedicated to proactive defense, undertaking high-intensity signal monitoring and system situational awareness tasks to ensure "first-time detection, first-time judgment, and first-time response" to emergencies.

[0030] Position B (Process Manager): Dedicated to business support, responsible for the full lifecycle management and process operation of program files, broadcast schedules, subtitle files, etc., from generation to broadcast, ensuring the accuracy and smoothness of the support chain.

[0031] Position C (Command Center): Dedicated to overall coordination, responsible for external coordination, emergency decision-making, quality supervision and risk mitigation, ensuring business stability in complex situations.

[0032] Step S2: Establish a cyclical rotation mechanism based on the science of focus. Based on the theory of human high-efficiency attention cycles in cognitive science, and using a preset attention work unit (e.g., 90 minutes) as the cycle, the roles of the aforementioned personnel in positions A and B are forcibly switched: When personnel from position A are rotated to position B, they switch from high-intensity monitoring tasks to procedural operational tasks. Their experience in monitoring the system status in the previous cycle is internalized into the risk prediction ability in the work of position B, forming stricter inspection standards. When B-position personnel rotate to A-position, they switch from process operation to high-intensity monitoring. They focus on inspecting the results of the previous cycle's operations, naturally forming a complementary verification between "operator" and "inspector". By fundamentally switching task types, different brain functional areas are activated, achieving "efficient focus reset," alleviating cognitive fatigue caused by continuous monitoring, and cultivating personnel's overall understanding of defense and support operations.

[0033] Step S3: Construct a data-driven risk profile identification and generation model S31. Establish a multi-dimensional hidden danger database: Collect historical broadcast data, equipment operation logs, operation records, and external environment information to construct a hidden danger data model that includes five dimensions: channel, personnel, event, time, and responsible department. Set fields such as unique hidden danger identifier, risk quantification value, associated assets, current status, and discovery date to form structured and computable data assets.

[0034] S32. Quantitative Risk Assessment: A weighted risk priority coefficient model is introduced to quantitatively assess each potential hazard. The calculation formula for the weighted risk priority coefficient model is as follows: ;in, Rate the probability of occurrence (1-5). To influence the severity score (1-5). The difficulty level of the test is rated (1-5). , , These are the corresponding weight coefficients, and .

[0035] S33. Generate Contextualized Risk Profiles: For specific broadcast tasks or time periods, conduct multi-dimensional aggregation and analysis of the hidden danger database data, construct risk hotspot maps from the dimensions of system / link, hidden danger type, and responsible department, and finally generate a structured risk profile report that includes risk level, scope of impact, probability of occurrence, related assets, and primary emergency action items.

[0036] Step S4: Construct a proactive defense closed-loop process driven by risk profiling S41. Command Conversion: The risk profile report is converted into explicit and structured broadcast control front-end commands, which clearly define the key monitoring periods, channels, equipment, operational points, and the list of the "Top Ten Highest Risk Hazards", thereby realizing the transformation from "aimless monitoring" to "precise and targeted defense".

[0037] S42. Structured Rotation Execution: Based on the cyclical rotation mechanism in step S2, the daily work content is meticulously broken down into focus work units, ensuring that the task list for each work stage has upstream and downstream connections. Personnel in positions A and B execute focused monitoring or process operations according to the instructions in step S41, forming a cross-verification mechanism of "you do it, I check it".

[0038] S43. Data Feedback and Iteration: Newly generated duty data, abnormal events, handling records, and drill results are fed back to the multi-dimensional hidden danger database in step S31 for iterative optimization of the risk profile model, completing the closed-loop evolution of "data → knowledge → capability".

[0039] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A proactive defense security broadcasting method based on risk profiling, characterized in that: Includes the following steps: Step S1: Construct a three-level collaborative responsibility decoupling architecture, dividing the broadcast duty team into three professional roles: Role A, specializing in high-intensity signal monitoring and system situational awareness; Role B, specializing in the full lifecycle management of business support processes; and Role C, specializing in overall coordination and emergency decision-making. Step S2: Establish a cyclical rotation mechanism based on focus science, using a preset focus work unit as the cycle, and forcibly swap the roles of personnel in position A and position B, resetting personnel's focus by switching task types; Step S3: Construct a data-driven risk profile identification and generation model, collect multi-dimensional historical data to establish a hidden danger database, quantify and assess hidden dangers through a weighted risk priority coefficient model, and generate a contextualized risk profile report for specific broadcast tasks. Step S4: Construct a proactive defense closed-loop process driven by risk profiles, transform risk profile reports into explicit broadcast control front-end instructions, combine them with a cyclical rotation mechanism to execute focused monitoring and process operations, form cross-validation, and feed new data generated during the execution process back to the hidden danger database for iterative optimization.

2. The proactive defense security broadcasting method based on risk profiling as described in claim 1, characterized in that: In step S1, position A is responsible for the immediate detection and handling of emergencies; position B is responsible for the verification and procedural operation of program files, broadcast schedules, and subtitles; and position C is responsible for external coordination, quality supervision, and risk mitigation.

3. The proactive defense security broadcasting method based on risk profiling as described in claim 2, characterized in that: In step S2, the preset focus work unit is 60 to 90 minutes.

4. The proactive defense security method based on risk profiling as described in claim 3, characterized in that: In step S2, when personnel from position A rotate to position B, their experience in monitoring the system status of the previous cycle is internalized into the risk prediction ability of position B; when personnel from position B rotate to position A, they conduct key inspections of the operational results of the previous cycle, forming a complementary verification.

5. The proactive defense security broadcasting method based on risk profiling as described in claim 4, characterized in that: In step S3, the hidden danger database is structured and stored using a data model with five dimensions: channel, personnel, event, time, and responsible department. It also includes fields for unique hidden danger identifier, risk quantification value, associated assets, current status, and discovery date.

6. The proactive defense security broadcasting method based on risk profiling as described in claim 5, characterized in that: In step S3, the calculation formula for the weighted risk priority coefficient model is as follows: ； in, Score the probability of occurrence. To influence the severity score, To score the difficulty of the test, , , These are the corresponding weight coefficients, and .

7. The proactive defense security broadcasting method based on risk profiling as described in claim 6, characterized in that: In step S3, the contextualized risk profile report includes the risk level, scope of impact, probability of occurrence, related assets, and primary emergency actions.

8. The proactive defense security broadcasting method based on risk profiling as described in claim 7, characterized in that: In step S4, the explicit broadcast control front-end instructions include key monitoring periods, channels, equipment, key operation points, and a list of the highest risk hazards.

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