{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854000","patent":{"patent_number":"US-9854000","title":"Method and apparatus for detecting malicious software using handshake information","assignee":null,"inventors":[],"filing_date":"2014-11-06T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","H04L","H04L"],"num_claims":3,"abstract":"In one embodiment, a method includes identifying unusual behavior with respect to a handshake between a first endpoint and a second endpoint that are included in a network, and determining whether the unusual behavior with respect to the handshake indicates presence of malicious software. The method also includes identifying at least one of the first endpoint and the second endpoint as potentially being infected by the malicious software if it is determined that the unusual behavior with respect to the handshake indicates the presence of malicious software."},"analysis":{"summary":"The Method and Apparatus for Detecting Malicious Software Using Handshake Information patent presents an innovative solution for identifying and mitigating malicious software threats by analyzing network handshake information. The core innovation lies in its ability to detect unusual patterns in the handshake process, which are often indicative of malicious activity. This technology addresses the problem of traditional signature-based detection methods lagging behind the latest threats. By focusing on handshake analysis, this approach offers a proactive defense mechanism that can significantly reduce the impact of malware infections. The system works by distinguishing between normal and abnormal handshake behavior, enabling it to flag potentially infected endpoints for further investigation. This approach offers significant business value by providing early detection and containment, preventing widespread damage and minimizing financial losses. The market opportunity for this technology is substantial, as organizations of all sizes seek to enhance their cybersecurity posture and protect their valuable assets. The Method and Apparatus for Detecting Malicious Software Using Handshake Information can be integrated into existing network security infrastructure, providing an additional layer of protection without requiring extensive modifications. Its adaptability and proactive nature make it a valuable asset for organizations of all sizes. Furthermore, the patent's approach can be adapted to various network environments, including cloud-based systems, ensuring comprehensive protection across diverse infrastructures. The potential applications of this technology extend beyond traditional cybersecurity, including areas such as IoT security and critical infrastructure protection. By analyzing handshake information, the system can detect anomalies that may indicate tampering or unauthorized access, enhancing the security of these vulnerable systems.","layman_explanation":"The Method and Apparatus for Detecting Malicious Software Using Handshake Information addresses the critical problem of detecting malware in networks before it can cause significant damage. Traditional security solutions often rely on identifying known malware signatures, which means they can be easily bypassed by new or modified threats. This patent offers a more proactive approach by analyzing the 'handshake' process between computers on a network. Think of it like this: when two people meet, they shake hands. The way they shake hands – the grip, the speed, the duration – can tell you a lot about them. Similarly, when computers connect to each other, they go through a 'handshake' process to establish communication. This patent analyzes the data exchanged during this handshake to identify unusual patterns that might indicate the presence of malware. Instead of looking for specific malware 'signatures,' it looks for deviations from normal communication patterns. This is particularly valuable because it can detect new and unknown threats that haven't been 'signed' yet. This matters because it provides a more robust and adaptable security solution. By detecting malware early, businesses can prevent data breaches, financial losses, and reputational damage. The market impact is significant, as cybersecurity threats continue to grow in sophistication and frequency. This technology offers a competitive advantage by providing a more effective and proactive defense. Future applications could include integration with other security tools and expansion to protect IoT devices and critical infrastructure. The investment implications are positive, as this technology has the potential to generate significant returns by reducing the risk of costly cyber attacks.","technical_analysis":"The Method and Apparatus for Detecting Malicious Software Using Handshake Information patent provides a detailed technical framework for identifying malicious software by analyzing network handshake information. The system architecture typically involves a network monitoring component that captures handshake data, a processing engine that analyzes the data for anomalies, and an alerting mechanism that notifies security personnel of potential threats. The implementation details involve careful consideration of network protocols, data formats, and performance optimization techniques. The system must be able to handle high volumes of network traffic without introducing significant latency. The core of this innovation lies in the algorithms used to analyze handshake data. These algorithms may employ machine learning techniques to learn normal handshake patterns and identify deviations that could indicate malicious activity. The system may also use statistical analysis and rule-based approaches to detect anomalies. Integration with existing network security infrastructure is a key consideration. The system should be able to seamlessly integrate with firewalls, intrusion detection systems, and other security tools. The system's performance characteristics are critical to its effectiveness. It must be able to detect malicious software in real-time without significantly impacting network performance. Code-level implications involve the development of efficient and secure code for capturing, processing, and analyzing network handshake data. The code must be robust and resistant to tampering. The Method and Apparatus for Detecting Malicious Software Using Handshake Information offers a proactive defense mechanism that can significantly reduce the impact of malware infections. Its adaptability and proactive nature make it a valuable asset for organizations seeking to enhance their cybersecurity posture.","business_analysis":"The Method and Apparatus for Detecting Malicious Software Using Handshake Information patent presents a significant market opportunity in the cybersecurity industry. The increasing sophistication of cyber threats and the growing cost of data breaches are driving demand for innovative security solutions. This technology offers a competitive advantage by providing a proactive defense mechanism that can detect malicious software before it causes significant damage. The revenue potential for this technology is substantial. It can be monetized through licensing agreements, software subscriptions, and managed security services. The business model can be tailored to meet the needs of different types of customers, including small businesses, large enterprises, and government organizations. Strategic positioning involves targeting organizations that are particularly vulnerable to cyber attacks, such as financial institutions, healthcare providers, and critical infrastructure operators. The return on investment (ROI) for this technology is high, as it can prevent costly data breaches and reduce the risk of reputational damage. The Method and Apparatus for Detecting Malicious Software Using Handshake Information has the potential to disrupt the cybersecurity industry by providing a more effective and efficient way to detect and mitigate malicious software threats. Its adaptability and proactive nature make it a valuable asset for organizations seeking to enhance their cybersecurity posture. The market opportunity size is significant, with the global cybersecurity market projected to reach billions of dollars in the coming years.","faqs":null,"topics":["malware detection","handshake analysis","network security","cybersecurity","anomaly detection","method","apparatus","detecting"],"tech_cluster":null},"seo":{"title":"Malware Detection via Handshake Analysis - Patent US-9854000","description":"Discover how the Method and Apparatus for Detecting Malicious Software Using Handshake Information identifies malware by analyzing network handshake patterns. Full patent analysis and claims.","keywords":["malware detection","handshake analysis","network security","cybersecurity","anomaly detection","patent","patent US-9854000"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854000","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-9854000","citation_suggestion":"Patentable. \"Method and apparatus for detecting malicious software using handshake information\" (US-9854000). https://patentable.app/patents/US-9854000","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854000","json":"https://patentable.app/api/llm-context/US-9854000","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T10:18:40.489Z"}