View source for Dell products l.p. (20240338449). INTEGRATION OF INLINE MALWARE DISCOVERY AND OFFLINE VAULT RANSOMWARE PREDICTION simplified abstract

=INTEGRATION OF INLINE MALWARE DISCOVERY AND OFFLINE VAULT RANSOMWARE PREDICTION=


==Organization Name==

[[:Category:dell products l.p.|dell products l.p.]]


[[Category:dell products l.p.]]

==Inventor(s)==

[[:Category:Ofir Ezrielev of Be’er Sheba (IL)|Ofir Ezrielev of Be’er Sheba (IL)]][[Category:Ofir Ezrielev of Be’er Sheba (IL)]]

[[:Category:Yehiel Zohar of Sderot (IL)|Yehiel Zohar of Sderot (IL)]][[Category:Yehiel Zohar of Sderot (IL)]]

[[:Category:Yevgeni Gehtman of Modi'in IL (US)|Yevgeni Gehtman of Modi'in IL (US)]][[Category:Yevgeni Gehtman of Modi'in IL (US)]]

[[:Category:Tomer Shachar of Beer-Sheva (IL)|Tomer Shachar of Beer-Sheva (IL)]][[Category:Tomer Shachar of Beer-Sheva (IL)]]

[[:Category:Maxim Balin of Gan-Yavne (IL)|Maxim Balin of Gan-Yavne (IL)]][[Category:Maxim Balin of Gan-Yavne (IL)]]

==INTEGRATION OF INLINE MALWARE DISCOVERY AND OFFLINE VAULT RANSOMWARE PREDICTION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240338449 titled 'INTEGRATION OF INLINE MALWARE DISCOVERY AND OFFLINE VAULT RANSOMWARE PREDICTION

'''Simplified Explanation:'''
The patent application describes a method for detecting malware in a production system by using two processes, one inline and one offline.

'''Key Features and Innovation:'''
* Utilizes a first malware detection process to check for evidence of malware in a production system.
* Generates cues to identify aspects possibly affected by malware.
* Transmits cues to a second malware detection process for further analysis.
* The second process checks the cues to confirm the presence of malware in the system.

'''Potential Applications:'''
This technology can be applied in various industries where cybersecurity is crucial, such as finance, healthcare, and government sectors.

'''Problems Solved:'''
* Efficient detection of malware in production systems.
* Early identification of potential malware threats.
* Enhanced cybersecurity measures for organizations.

'''Benefits:'''
* Improved security posture for organizations.
* Timely detection and mitigation of malware threats.
* Prevention of data breaches and system compromises.

'''Commercial Applications:'''
Potential commercial applications include cybersecurity software development, consulting services for malware detection, and integration into existing security systems.

'''Prior Art:'''
Readers can explore prior art related to malware detection methods, cybersecurity technologies, and system monitoring tools.

'''Frequently Updated Research:'''
Stay updated on the latest advancements in malware detection, cybersecurity protocols, and threat intelligence to enhance the effectiveness of this technology.

'''Questions about Malware Detection:'''
1. What are the key advantages of using an inline and offline malware detection process?
2. How does this method improve upon traditional malware detection techniques?


==Original Abstract Submitted==

one example method includes, by a first malware detection process, checking an aspect of a production system for evidence of a malware process, identifying the aspects as possibly affected by the malware process, generating cues that identify the aspect, and transmitting the cues to a second malware detection process. the second malware detection process checks the cues to identify the aspect, and determines that the malware process has affected the aspect. the first malware detection process may be an inline process, and the second malware detection process may be an offline process.



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