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    Blockchain-based malware containment in a network resource
    3.
    发明授权
    Blockchain-based malware containment in a network resource 有权

    公开(公告)号：US10979452B2

    公开(公告)日：2021-04-13

    申请号：US16137630

    申请日：2018-09-21

    Applicant: International Business Machines Corporation

    Inventor： Ashish Kundu ,  Abhishek Malvankar ,  Suresh N. Chari

    IPC: H04L29/06 ,  H04L12/24 ,  G06F9/455 ,  G06F16/27 ,  G06F16/18 ,  G06F16/182

    Abstract: A method contains malware within a network resource. A blockchain system establishes a smart contract, on the blockchain system, for a network resource in a computer environment. The smart contract is for an action to be performed on the network resource if a malware is detected on the network resource. In response to malware being detected in the network resource, the blockchain system determines whether a consensus is reached by a plurality of computers on the blockchain system to implement the action to contain the malware based on the smart contract. In response to the consensus being reached by the plurality of computers, the blockchain system transmits, to the network resource, directions to implement the action on the network resource as specified by the smart contract.

    Privacy-preserving identity asset exchange
    4.
    发明授权
    Privacy-preserving identity asset exchange 有权

    公开(公告)号：US10944560B2

    公开(公告)日：2021-03-09

    申请号：US16053189

    申请日：2018-08-02

    Applicant: International Business Machines Corporation

    Inventor： Suresh N. Chari ,  Hasini Gunasinghe ,  Ashish Kundu ,  Kapil Kumar Singh ,  Dong Su

    IPC: H04L9/32 ,  H04L29/06 ,  H04L9/30

    Abstract: A processor-implemented method facilitates identity exchange in a decentralized setting. A first system performs a pseudonymous handshake with a second system that has created an identity asset that identifies an entity. The second system has transmitted the identity asset to a third system, which is a set of peer computers that support a blockchain that securely maintains a ledger of the identity asset. The first system transmits a set of pseudonyms to the third system, where the set of pseudonyms comprises a first pseudonym that identifies the first system, a second pseudonym that identifies a user of the second system, and a third pseudonym that identifies the third system. The first system receives the identity asset from the third system, which securely ensures a validity of the identity asset as identified by the first pseudonym, the second pseudonym, and the third pseudonym.

    Policy-based detection of anomalous control and data flow paths in an application program
    5.
    发明授权
    Policy-based detection of anomalous control and data flow paths in an application program 有权

    公开(公告)号：US10902121B2

    公开(公告)日：2021-01-26

    申请号：US15788473

    申请日：2017-10-19

    Applicant: International Business Machines Corporation

    Inventor： Suresh Chari ,  Ashish Kundu ,  Ian Michael Molloy ,  Dimitrios Pendarakis

    IPC: G06F21/00 ,  G06F21/56 ,  G06F8/41 ,  G06N7/00 ,  G06N20/00

    Abstract: Anomalous control and data flow paths in a program are determined by machine learning the program's normal control flow paths and data flow paths. A subset of those paths also may be determined to involve sensitive data and/or computation. Learning involves collecting events as the program executes, and associating those event with metadata related to the flows. This information is used to train the system about normal paths versus anomalous paths, and sensitive paths versus non-sensitive paths. Training leads to development of a baseline “provenance” graph, which is evaluated to determine “sensitive” control or data flows in the “normal” operation. This process is enhanced by analyzing log data collected during runtime execution of the program against a policy to assign confidence values to the control and data flows. Using these confidence values, anomalous edges and/or paths with respect to the policy are identified to generate a “program execution” provenance graph associated with the policy.

    Cognitive ranking of terms used during a conversation
    6.
    发明授权
    Cognitive ranking of terms used during a conversation 有权

    公开(公告)号：US10885080B2

    公开(公告)日：2021-01-05

    申请号：US15888164

    申请日：2018-02-05

    Applicant: International Business Machines Corporation

    Inventor： Maryam Ashoori ,  Ashish Kundu ,  Amit A. Nanavati

    IPC: G06F16/33 ,  G06F16/901 ,  G06F16/36

    Abstract: Mechanisms are provided for implementing a conversation monitoring system. The conversation monitoring system monitors a conversation between at least two participants and extracting, by the conversation monitoring system, key terms present in communications between the at least two participants. The conversation monitoring system generates a provenance graph data structure based on the extraction of the key terms where the provenance graph data structure has speaker nodes representing the at least two participants, term nodes representing the key terms present in the communications, and edges connecting nodes in the provenance graph. The conversation monitoring system analyzes the provenance graph data structure to identify a relative ranking of the key terms within the conversation and generates an output representing content of the conversation based on the relative ranking of the key terms.

    Automated insurance toggling for self-driving vehicles
    10.
    发明授权
    Automated insurance toggling for self-driving vehicles 有权

    公开(公告)号：US10607293B2

    公开(公告)日：2020-03-31

    申请号：US14927647

    申请日：2015-10-30

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Michael S. Gordon ,  James R. Kozloski ,  Ashish Kundu ,  Peter K. Malkin ,  Clifford A. Pickover

    IPC: G06Q40/08 ,  G06K9/00 ,  G01C21/34

    Abstract: A method and/or computer program product automatically toggles insurance policy provisions for a self-driving vehicle (SDV) based on an operational mode of the SDV. One or more processor(s) receive an electronic signal indicating an operational mode of an SDV in real-time, where operational mode is either an autonomous mode or a manual mode. A first insurance policy provision provides coverage while the SDV is operating in the autonomous mode, and a second insurance policy provision provides coverage while the SDV is operating in the manual mode. The processor(s) monitor the SDV for a change in real-time to the operational mode of the SDV. In response to detecting a change in real-time to the operational mode of the SDV, the processor(s) dynamically toggle activation of the first and second insurance policy provisions consistent with the change in real-time to the operational mode of the SDV.

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