International Business Machines Corporation

Nir Rozenbaum

Nili Guy

Bruno Wassermann

Yacov Manevich

Artem Barger

Gil Sharon

David Ohana

According to one embodiment, a method, computer system, and computer program product for rescuing a malfunctioning drone is provided. The present invention may include responsive to detecting a total failure in a malfunctioning drone comprising a drone fleet, operating one or more rescue drones to physically or virtually attach to the malfunctioning drone; reconfiguring sub-missions comprising a mission assigned to the drone fleet based on an absence of the malfunctioning drone and the one or more rescue drones; and transporting, by the one or more rescue drones, the malfunctioning drone to a safe landing location.

Smart drone rescue and mission rescheduling on a swarm of drones

Selective locating of missing chat messages for an edge device is provided. The process includes sending a locate chat message request from a user's edge device to at least one other edge device of at least one other participant in a chat with the user via an end-to-end encryption messaging system. The locate chat message request identifies at least one search parameter for at least one missing chat message of the chat on the edge device. The process further includes, based on sending the locate chat message request, receiving at the edge device from the at least one other edge device, the at least one missing chat message of the chat identified via the at least one search parameter.

Edge device facility to selectively locate missing chat messages

A group message in a messaging group is received. A topic of the group message is determined. One or more recipients of the group message based on the topic of the group message is determined. The recipient is a member of the messaging group. The group message to the determined one or more recipients is transferred.

User preference based message filtering in group messaging

In an approach for a rule-based filtering system for securing password logins, a processor receives a password input on a user device. A processor determines whether the password requires filtering. Responsive to determining the password requires filtering, a processor filters characters from the password based on a set of filtering rules to create a filtered password. A processor determines whether the filtered password matches a stored password.

Rule-based filtering for securing password login

An example operation includes one or more of solving, by a scheduler node, integer programming problem of maximizing a sum of organizations' endorsing peers that run chaincodes from a plurality of chaincodes within a consortium, making, by the scheduler node, endorsement policies (EPs) for the chaincodes from the plurality of the chaincodes to be satisfiable at any time, applying administrator's constraint of available endorsing peers to the maximized sum of organizations' endorsing peers, and adding resulting endorsing peers to a maintenance list.

Blockchain maintenance

A device, comprising at least one hardware processor adapted for allowing access to the device by: receiving, from a gesture sensor connected to the at least one hardware processor, a continuous input gesture, made by a user; identifying at least one part of the continuous input gesture not a member of a configured sequence of pattern gesture segments; identifying a match between the configured sequence of pattern gesture segments and a stripped input gesture produced by removing the at least one part of the continuous input gesture therefrom; and executing at least one software object by the at least one hardware processor subject to identifying the match, otherwise declining executing the at least one software object.

Device and method for increasing security of a gesture based login

There is provided a system for identifying a system level anomalous, comprising code for receiving data-points indicative of a time-based dynamic state of processing nodes of a distributed system, each associated with a timestamp, a metric, and a metric value, clustering the data-points into clusters, comprising a sub-set of the data-points having a same metric and a timestamp within a same metric anomaly time interval, computing metric anomaly scores for each respective cluster denoting likelihood of an anomaly being present, analyzing metric anomaly scores of each system level anomalous time interval including at least two of the metric anomaly time intervals, computing a single anomalous event score for each respective system level anomalous time interval according to the analysis, and generating an alert indicative of the system level anomalous event for a certain system level anomalous time interval when the single anomalous event score is according to an anomaly requirement.

Systems and methods for anomaly detection in a distributed computing system

Embodiments of the present systems and methods may provide the capability to reduce service unavailability, client disruption, network traffic and processing load due to state synchronization. For example, a computer-implemented method for controlling operation of a plurality of server computer systems may comprise determining an order in which the plurality of server computer systems is to be restarted and restarting each of the plurality of server computer systems sequentially according to the determined order, wherein a leader of the server computer systems receives and handles write requests for the plurality of server computer systems, and wherein the leader server computer system is restarted last.

Growing community of inventors

Yoqneam Illit, Israel

Nir Rozenbaum