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    METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO IMPROVE CODE CHARACTERISTICS
    32.
    发明申请
    METHODS, SYSTEMS, ARTICLES OF MANUFACTURE AND APPARATUS TO IMPROVE CODE CHARACTERISTICS 审中-公开

    公开(公告)号：US20190317734A1

    公开(公告)日：2019-10-17

    申请号：US16456984

    申请日：2019-06-28

    Applicant: Intel Corporation

    Inventor： Li Chen ,  Justin Gottschlich ,  Alexander Heinecke ,  Zheng Zhang ,  Shengtian Zhou

    IPC: G06F8/33 ,  G06N3/08

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve code characteristics. An example apparatus includes a weight manager to apply a first weight value to a first objective function, a state identifier to identify a first state corresponding to candidate code, and an action identifier to identify candidate actions corresponding to the identified first state. The example apparatus also includes a reward calculator to determine reward values corresponding to respective ones of (a) the identified first state, (b) one of the candidate actions and (c) the first weight value, and a quality function definer to determine a relative highest state and action pair reward value based on respective ones of the reward values

    Malware detection system attack prevention
    33.
    发明授权
    Malware detection system attack prevention 有权

    公开(公告)号：US10333961B2

    公开(公告)日：2019-06-25

    申请号：US15634685

    申请日：2017-06-27

    Applicant: Intel Corporation

    Inventor： Li Chen

    IPC: H04L9/00 ,  H04L29/06 ,  G06N20/00

    Abstract: Systems and methods may be used to prevent attacks on a malware detection system. A method may include modeling a time series of directed graphs using incoming binary files during training of a machine learning system and detecting, during a time-window of the dine series, an anomaly based on a directed graph of the time series of directed graphs. The method may include providing an alert that the anomaly has corrupted the machine learning system. The method may include preventing or remedying corruption of the machine learning system.

    HEURISTIC AND MACHINE-LEARNING BASED METHODS TO PREVENT FINE-GRAINED CACHE SIDE-CHANNEL ATTACKS
    35.
    发明申请
    HEURISTIC AND MACHINE-LEARNING BASED METHODS TO PREVENT FINE-GRAINED CACHE SIDE-CHANNEL ATTACKS 审中-公开

    公开(公告)号：US20190042479A1

    公开(公告)日：2019-02-07

    申请号：US16024198

    申请日：2018-06-29

    Applicant: Intel Corporation

    Inventor： Abhishek Basak ,  Li Chen ,  Ravi Sahita

    IPC: G06F12/14 ,  G06F12/0891 ,  G06F21/55

    Abstract: A system may include a processor and a memory, the processor having at least one cache as well as memory access monitoring logic. The cache may include a plurality of sets, each set having a plurality of cache lines. Each cache line includes several bits for storing information. During normal operation, the memory access monitoring logic may monitor for a memory access pattern indicative of a side-channel attack (e.g., an abnormally large number of recent CLFLUSH instructions). Upon detecting a possible side-channel attack, the memory access monitoring logic may implement one of several mitigation policies, such as, for example, restricting execution of CLFLUSH operations. Due to the nature of cache-timing side-channel attacks, this prevention of CLFLUSH may prevent attackers utilizing such attacks from gleaning meaningful information.

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