{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853994","patent":{"patent_number":"US-9853994","title":"Attack analysis system, cooperation apparatus, attack analysis cooperation method, and program","assignee":null,"inventors":[],"filing_date":"2013-11-08T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","H04L","H04L","H04L"],"num_claims":16,"abstract":"In a log analysis cooperation system including a logger that collects a log of a communication device and stores the log in a storage device, a SIEM apparatus that detects an attack, and a log analysis apparatus that analyzes the log collected by the logger, a log analysis cooperation apparatus stores an attack scenario in a storage device, receives from the SIEM apparatus warning information including information on the detected attack, computes a predicted occurrence time of an attack predicted to occur subsequent to the detected attack based on the warning information and the attack scenario, and transmits to the log analysis apparatus a scheduled search to search the log at predicted occurrence time computed. The log analysis apparatus transmits a scheduled search to the logger to search the log at the predicted occurrence time."},"analysis":{"summary":"The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program provides a novel approach to cybersecurity by proactively predicting and detecting cyberattacks. The core innovation lies in its cooperative system that involves a logger, a SIEM apparatus, and a log analysis apparatus working together to anticipate and mitigate threats.\n\nThe system addresses the problem of reactive security measures, where organizations are often responding to attacks after they have already occurred. Traditional SIEM systems generate numerous alerts, many of which are false positives, overwhelming security analysts and delaying response times. This patent aims to provide a more efficient and effective solution by predicting the occurrence of future attacks.\n\nThe key technical approach involves storing attack scenarios, receiving warning information from the SIEM apparatus, computing a predicted occurrence time of subsequent attacks based on the warning information and the attack scenario, and transmitting scheduled searches to the log analysis apparatus. This proactive approach allows for the early detection and mitigation of potential attacks.\n\nThe business value of this system lies in its ability to reduce the impact of cyberattacks, minimize downtime, and protect sensitive information. It has applications in various industries, including finance, healthcare, and government, where data security is paramount. By improving the accuracy and efficiency of attack detection, this system can help organizations maintain their operational integrity and comply with regulatory requirements.\n\nThe market opportunity for this technology is significant, as organizations increasingly recognize the need for proactive cybersecurity measures. The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program offers a competitive advantage by providing a more effective and efficient approach to attack detection and mitigation.","layman_explanation":"The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program is a new approach to cybersecurity designed to anticipate and prevent cyberattacks before they cause damage. It addresses the increasing problem of sophisticated cyber threats that traditional security systems struggle to handle effectively.\n\n**1. What Problem Does This Solve?**\n\nOrganizations today face a constant barrage of cyberattacks, ranging from malware infections to data breaches. Traditional security systems often rely on detecting attacks after they have already occurred, which can lead to significant damage and disruption. These systems also generate a large number of false alarms, making it difficult for security teams to identify and respond to genuine threats. The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program aims to solve these problems by providing a proactive and more accurate approach to attack detection.\n\n**2. How Does It Work?**\n\nImagine a team of detectives working together to solve a crime. The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program works in a similar way, by coordinating the efforts of different security components. These components include a logger (which records all network activity), a SIEM apparatus (which detects potential attacks), and a log analysis apparatus (which analyzes the recorded data). The system uses attack scenarios (descriptions of how attacks typically unfold) to predict when and where future attacks are likely to occur. By proactively searching for signs of an impending attack, the system can identify and mitigate threats before they cause damage. Think of it like predicting where a burglar will strike next based on their past behavior and known patterns.\n\n**3. Why Does This Matter?**\n\nThe Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program has the potential to significantly improve cybersecurity for organizations of all sizes. By proactively predicting and preventing attacks, it can reduce the risk of data breaches, minimize downtime, and protect sensitive information. This can lead to significant cost savings and improved operational efficiency. The system also provides a more accurate and efficient approach to attack detection, reducing the number of false alarms and allowing security teams to focus on genuine threats. This translates to better resource allocation and faster response times. The proactive detection capabilities can also improve compliance with regulatory requirements, such as GDPR and HIPAA.\n\n**4. What's Next?**\n\nThe Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program is likely to evolve further as cybersecurity threats continue to grow in sophistication. Future applications may include integration with artificial intelligence and machine learning technologies to improve the accuracy of attack predictions. Market adoption is expected to increase as organizations recognize the need for more proactive security measures. This technology presents significant investment opportunities for companies looking to capitalize on the growing demand for advanced cybersecurity solutions. This innovation is likely to play a key role in shaping the future of cybersecurity.","technical_analysis":"The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program introduces a cooperative and predictive approach to attack analysis, leveraging the strengths of different security components. The system's architecture is designed to facilitate information sharing and coordinated action between the logger, SIEM apparatus, and log analysis apparatus.\n\nThe logger collects and stores logs from communication devices, providing a comprehensive record of network activity. The SIEM apparatus detects attacks based on predefined rules and patterns, generating warning information. The log analysis apparatus stores attack scenarios, which define the sequence of events that typically occur during an attack.\n\nWhen the SIEM apparatus detects an attack, it sends warning information to the log analysis cooperation apparatus. This apparatus uses the warning information and the stored attack scenarios to compute the predicted occurrence time of subsequent attacks. The computation may involve statistical analysis, machine learning algorithms, or other predictive techniques. The accuracy of the prediction depends on the quality of the attack scenarios and the effectiveness of the prediction algorithms.\n\nThe log analysis cooperation apparatus then transmits a scheduled search to the log analysis apparatus, instructing it to search the log at the predicted occurrence time. The log analysis apparatus, in turn, transmits a scheduled search to the logger, instructing it to search the log at the predicted occurrence time. This proactive search allows for the early detection of potential attacks before they can cause significant damage.\n\nThe system's implementation requires careful consideration of several factors, including the performance of the prediction algorithms, the scalability of the log analysis apparatus, and the security of the communication channels between the different components. The system must also be integrated with existing security infrastructure and workflows. The effectiveness of the system depends on the accuracy of the attack scenarios and the ability of the prediction algorithms to adapt to evolving attack patterns. The system also needs to handle large volumes of log data efficiently to avoid performance bottlenecks.\n\nCode-level implications involve the development of efficient algorithms for attack scenario storage, prediction computation, and log searching. The system may also require the implementation of custom APIs for communication between the different components. The performance characteristics of the system depend on the efficiency of the algorithms and the performance of the underlying hardware and software infrastructure. The system's integration with existing security infrastructure may require the development of custom integration modules.","business_analysis":"The Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program presents a significant market opportunity in the cybersecurity sector. The increasing frequency and sophistication of cyberattacks have created a growing demand for more effective and proactive security solutions. Traditional SIEM systems often struggle to keep pace with the evolving threat landscape, generating numerous alerts, many of which are false positives. This patent addresses these challenges by providing a more efficient and proactive approach to attack detection and mitigation.\n\nThe market opportunity size for this technology is substantial, as organizations of all sizes and across various industries are seeking to enhance their cybersecurity posture. The competitive advantages of this system include its proactive attack detection capabilities, improved efficiency in log analysis, enhanced cooperation between security components, and reduced false positive rate. These advantages can translate into significant cost savings and improved security outcomes for organizations.\n\nThe revenue potential for this technology is significant, as it can be monetized through various business models, including software licensing, managed security services, and subscription-based offerings. The strategic positioning of this system is as a key component of a comprehensive cybersecurity strategy, complementing existing security tools and technologies.\n\nThe ROI projections for this technology are attractive, as it can help organizations reduce the risk of successful cyberattacks, minimize downtime, and protect sensitive information. By improving the accuracy and efficiency of attack detection, this system can also help organizations reduce the cost of security operations. The business model can be SaaS or on-premise.\n\nFrom a strategic perspective, the system allows security teams to proactively address potential threats before they materialize, improving the overall effectiveness of cybersecurity defenses. The technology can also be used to improve compliance with regulatory requirements, such as GDPR and HIPAA, which mandate organizations to protect sensitive data. The system can also be integrated with threat intelligence feeds to enhance its predictive capabilities and stay ahead of emerging threats.","faqs":null,"topics":["attack analysis","cybersecurity","SIEM","log analysis","threat detection"],"tech_cluster":null},"seo":{"title":"Attack Analysis System - Predictive Cybersecurity Patent","description":"Discover how the Attack Analysis System, Cooperation Apparatus, Attack Analysis Cooperation Method, and Program patent proactively predicts cyberattacks. Full analysis, claims, and details.","keywords":["attack analysis","cybersecurity","SIEM","log analysis","threat detection","predictive security","patent","patent US-9853994"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853994","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853994","citation_suggestion":"Patentable. \"Attack analysis system, cooperation apparatus, attack analysis cooperation method, and program\" (US-9853994). https://patentable.app/patents/US-9853994","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853994","json":"https://patentable.app/api/llm-context/US-9853994","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T18:39:10.592Z"}