SECURE LONG TRAINING FIELD (LTF) TRANSMISSION BASED ON WINDOWING

    公开(公告)号:WO2022150141A1

    公开(公告)日:2022-07-14

    申请号:PCT/US2021/062563

    申请日:2021-12-09

    Abstract: This disclosure provides methods, devices and systems for improving the security of secure long training field (LTF) transmissions. In some implementations, a transmitting device may perform windowing on a secure LTF, in the frequency domain, so that the resulting time-domain LTF signal is difficult, if not impossible, to predict by any device that observes a portion of the LTF signal. In some aspects, the transmitting device may negotiate the windowing of secure LTFs with a receiving device based on fine timing measurement (FTM) negotiation frames exchanged at the start of an FTM procedure. In some other aspects, the transmitting device may dynamically or adaptively perform windowing on secure LTFs. In such aspects, the transmitting device may indicate whether windowing is performed on a secure LTF based on information carried in a signal field of a physical layer convergence protocol (PLCP) protocol data unit (PPDU) that includes the secure LTF.

    控制帧处理及生成方法、站点、接入点及存储介质

    公开(公告)号:WO2022144007A1

    公开(公告)日:2022-07-07

    申请号:PCT/CN2021/143958

    申请日:2021-12-31

    Abstract: 本申请公开了一种控制帧处理方法、站点、控制帧生成方法、接入点以及计算机可读存储介质,控制帧处理方法通过接收接入点发送的控制帧,对接收到的所述控制帧进行解析,提取其中的随机值以及MIC校验值;采用来自接入点的数据密钥对随机值以及MIC校验值进行解密,得到随机值的原始明文以及MIC校验值的原始明文;采用来自接入点的MIC密钥、控制帧中的非校验字段及随机值计算本地MIC校验值;判断MIC校验值的原始明文与本地MIC校验值是否一致,如果是,则根据控制帧执行相应控制操作。本申请提供的控制帧处理方法,能够对控制帧进行有效保护,防止黑客利用控制帧来进行无线网络攻击,保证了网络的安全性。

    SECURITY SYSTEM PROVIDING PROTECTION FROM DRONES

    公开(公告)号:WO2022056500A1

    公开(公告)日:2022-03-17

    申请号:PCT/US2021/070204

    申请日:2021-02-27

    Applicant: ELOYAN, Armen

    Inventor: ELOYAN, Armen

    Abstract: The present invention is a security system for providing a zone (area) of protection from triphibian drones in the form of an apparatus comprising sonic sensors to sonically detect and triangulate the presence and current position of remotely controlled, operated, or otherwise unmanned vehicles within six-hundred meters of said apparatus; computer enabled software to automatically and securely identify a plurality of users, and to detect, configure, and establish a perimeter for a home or ranch with two or more sensors, and to automatically activate and provide notices and/ or warnings for users and occupants when drones are detected; and software to automatically activate/enable drone countermeasures to prevent intrusion by and provide protection against autonomous vehicles and aerial, aquatic, terrestrial, amphibian, biphibian, and triphibian drones into the space surrounding a home or ranch.

    ROBUST NAS LAYER SIGNALING
    59.
    发明申请

    公开(公告)号:WO2021144238A1

    公开(公告)日:2021-07-22

    申请号:PCT/EP2021/050429

    申请日:2021-01-12

    Abstract: Procedures are provided for robust handling of NAS request messages that contain a spurious information element (IE). The spurious information element could comprise a NAS message container containing a NAS message with the wrong procedure type, i.e., a procedure type that does not match the type of the parent NAS message. The spurious information elements could also comprise redundant IEs that are not necessary for the emergency services fallback request.

    APPARATUS AND METHOD FOR FRAUD DETECTION
    60.
    发明申请

    公开(公告)号:WO2020162831A1

    公开(公告)日:2020-08-13

    申请号:PCT/SG2020/050051

    申请日:2020-02-03

    Abstract: Approaches, techniques, and mechanisms are disclosed for generating subscriptions. According to one embodiment, one or more local features of an input request for service subscription are generated based at least in part on one or more messages originated from a client device that represent the input request. One or more global features of a population of input requests originated from a population of client devices are determined based at least in part on a population of input requests. One or more mapped global features of the input request are generated from the one or more global features via one or more mapping functions. One or more machine learning (ML) based prediction models are applied to the one or more local features and the one or more mapped global features of the input request to compute a fraud score for the input request. The fraud score for the input request is used to determine whether the input request for service subscription is to be accepted.

Patent Agency Ranking