International Business Machines Corporation

Massachusetts Institute of Technology

Merative US L.p.

Uri Kartoun

Fang Lu

Kenney Ng

Jeremy R Fox

Yoonyoung Park

Sophie Batchelder

Aris Gkoulalas-Divanis

Krishnan Sugavanam

Paul C Tang

Charalambos Stavropoulos

Francis Campion

Sarbajit Kumar Rakshit

Craig M Trim

Jana Helton Jenkins

Collin M Stultz

Kristen Ann Severson

Tanya Rudakevych

Paul D Myers

Wangzhi Dai

Amy Chiu

Paul R Bastide

Zachary A Silverstein

Meenal Pore

Jayanth Krishnan

Yael Alkalay

Veronica Aldous

Michael J LaScaleia

Amar Das

Martin G Keen

Aaron K Baughman

Trudy L Hewitt

Mauro Marzorati

Tushar Agrawal

Clement Decrop

Tiberiu (Jim) Suto

Partho Ghosh

Steven I Ross

Christian Compton

Mauro Martino

Aabhas Sharma

Amarendra Das

Morgan Anna Foreman

Lakshmi Soumya Suggala

David Osofsky

Hillol Sarker

Melissa Honour

Sophia O Smith

Raghu Bhavaraju

XiaoJing Liu

According to one embodiment, a method, computer system, and computer program product for user authentication. The embodiment may include receiving, at an authentication server, respective multiple location coordinates from first and second registered devices. Storing, on the authentication server, respective moving windows comprising registered, device specific, last n location coordinates from the first and the second registered devices. Receiving a request to access the authentication server via the first registered device. The request comprises log-in credentials of a user and a first hash value calculated at the first registered device. Computing, at the authentication server, a second hash value using a set of the last n location coordinates from each of the respective moving windows. Comparing the first hash value and the second hash value. In response to the first and the second hash values being equal, and the log-in credentials being verified, granting access to the authentication server.

Location coordinate-based user authentication with device loss security tolerance

According to one embodiment, a method, computer system, and computer program product for user authentication. The embodiment may include receiving, from a first device, multiple location coordinates of the first device. The embodiment may include storing, on a second device, a second moving window comprising last n location coordinates of the multiple location coordinates. The embodiment may include receiving, from the first device, a request to access the second device, wherein the request comprises log-in credentials and a first hash value. The embodiment may include computing, on the second device, a second hash value based on the second moving window. The embodiment may include verifying the log-in credentials. The embodiment may include comparing the first hash value and the second hash value. In response to the first and the second hash values being equal, and the log-in credentials being verified, the embodiment may include granting access.

User authentication based on periodic sampling of location coordinates

Taking security actions according to calculated sensitivity levels of objects. Sensitivity levels are determined according to learned security measures taken on objects having certain content. Security actions are taken upon determining that an object in view of recently added content has an actionable sensitivity level. Additional considerations apply to baseline aspects of the object as well as ongoing changes to the baseline considerations.

Content based security requirements

In an approach to improve the management of operating vehicles through smart contracts, embodiments generate a priority score based on received sensor feeds from a vehicle, co-located vehicles, and a smart contract rule. Further, embodiments assign the priority score to the vehicle and the co-located vehicles and the co-located vehicles and identify that the assigned priority score of the vehicle is higher than the co-located vehicles. Additionally, embodiments manage an operation of the co-located vehicles through a computing device within the co-located vehicles based on the smart contract rule and the priority score and create a priority lane for the vehicle by repositioning the co-located vehicles.

Computer analysis for assisting the operations of vehicles

A method, a computer program product, and a computer system provide medications to a patient with a time gap. The method includes determining a dissolving pattern for the patient. The dissolving pattern includes a medication dissolving rate for a first medication prescribed to the patient and a filler dissolving rate for a filler selected so that the time gap is elapsed prior to a second medication being provided after the first medication. The medication dissolving rate and the filler dissolving rate are specific to the patient. The method includes determining dimensions of the first medication to correspond to a dosage of the prescribed first medication and dimensions of the filler to correspond to the time gap. The method includes providing a pill including at least the first medication and the filler, the first medication surrounding the filler such that the first medication is dissolved prior to the filler being dissolved.

Time controlled medication

A method secures a computer display. One or more processors detect whether there is a presence of an authorized portable device proximate to the computer display. Based on what the processor(s) detect, the processor(s) apply a rule, which is based on one or more portable devices being proximate to the computer display, to selectively continue or end a current session on the computer display.

Controlling a display based on a proximity of a portable device

A method, computer system, and a computer program product for optimizing social collaboration is provided. The present invention may include identifying content within a social collaboration history with a high level of engagement. The present invention may include generating one or more groups of unique topic keywords based on the identified content. The present invention may include receiving a potential post from a user. The present invention may include identifying an overlap between the potential post and at least one of the one or more groups of unique topic keywords. The present invention may include providing one or more recommendations to the user.

Information sharing with effective attention management system

A method, computer system, and a computer program product for simulating dental implants is provided. The present invention may include generating one or more digital twins for a potential dental implant based on a user profile. The present invention may include simulating a performance of each of the one or more digital twins in one or more user modeled environments. The present invention may include ranking the one or more digital twins based on the performance of the potential dental implant in each of the one or more user modeled environments. The present invention may include monitoring a selected dental implant using a corresponding digital twin.

Dental implant reconstruction and restoration based on digital twin

A method for authorizing access to an associated resource based on processing a series of barcode orientation scans. The method receives, by a barcode reader, a series of barcode orientation scans. The method further determines if the series of barcode orientation scans match a pre-selected combination of barcode orientations stored on the barcode reader and authorizes access to an associated resource, in response to the series of barcode orientation scans matching the pre-selected combination of barcode orientations stored on the barcode reader.

Enhanced security of a barcode

A computer-implemented method for obfuscating sensitive information associated with mail delivery is disclosed. The computer-implemented method includes identifying that a piece of mail directed towards a potential recipient includes a particular type of sensitive information. The computer-implemented method further includes selecting a mail obfuscation policy for the particular type of sensitive information based on the particular type of sensitive information. The computer-implemented method further includes performing an obfuscation action with respect to the particular type of sensitive information based on the selected mail obfuscation policy.

Method for concealing sensitive mail return addresses

A method, computer system, and a computer program product for account security is provided. The present invention may include analyzing one or more financial accounts of a user and assigning a risk threshold to each of the one or more financial accounts. The present invention may include monitoring a vulnerability of each of the one or more financial accounts, wherein the vulnerability is monitored using a vulnerability score, the vulnerability score being generated based on user data. The present invention may include determining the risk threshold has been exceeded for at least one financial account based on a comparison of the vulnerability score and the risk threshold of the at least one financial account. The present invention may include preventing access to the at least one financial account in which the risk threshold has been exceeded.

Enhancing investment account security

Systems, methods, and computer programming products for dynamically managing the uninstallation and/or re-installation of software applications stored or accessed by a computing system, including mobile devices. Management of the applications by the system can be periodically managed automatically or based on recommendations. Management of applications being uninstalled or reinstalled may be determined based on a rate a user accesses the application and/or data published or accessible by an application storefront, such as user reviews, storefront rankings, user feedback and uninstallation rates of the applications by other users. Applications experiencing a decreased level of average user satisfaction below a predetermined threshold can be proposed for deletion or automatically deleted. Replacement of underperforming or unsatisfactory applications with alternative applications having similar functionality but a higher rate of user satisfaction can be recommended or installed. Previously uninstalled applications can be recommended or automatically reinstalled upon average user satisfaction rising above configured threshold levels.

Dynamic management of application uninstallation

A computer system selects features of a dataset for predictive modeling. A first set of features that are relevant to outcome are selected from a dataset comprising a plurality of cases and controls. A subset of cases and controls having similar values for the first set of features is identified. The subset is analyzed to select a set of additional features relevant to outcome. A first and second predictive model are evaluated to determine that the second predictive model more accurately predicts outcome, wherein the first predictive model is based on the first set of features and the second predictive model is based on the first set of features and the additional features. The second predictive model is utilized to predict outcomes. Embodiments of the present invention further include a method and program product for selecting features of a dataset for predictive modeling in substantially the same manner described above.

Data model processing in machine learning employing feature selection using sub-population analysis

Utilization data of a computer by a user during a session is gathered. A domain in which the user is utilizing the computer during the session is identified as reflected by the utilization data. Competence data on how competent the user is with the domain is gathered. The competence data relates to how the user interacts with the computer during the session. A competence level of the user for the domain is determined based on the competence data.

Managing domain competence during a computing session

A plurality of events are extracted from a plurality of electronic health records associated with a first patient. The extracted plurality of events are analyzed to identify a plurality of stimulus events and a plurality of response events. An association between a first stimulus event and a first response event is determined. A stimulus-response (SR) variable is generated for the first patient based at least in part on the determined association, and the generated SR variable is integrated into one or more predictive cognitive models.

Identifying and extracting stimulus-response variables from electronic health records

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Cambridge, MA, United States of America

Uri Kartoun