International Business Machines Corporation

Narayana Aditya Madineni

Matthew John Green

Michael Wallace Gray

Leigh Stuart McLean

Simon D McMahon

Peter T Waltenberg

Luvita Burgess

Stephen J McKenzie

Pranab Agarwal

Chia-Le Cheng

Shane Nicholas Cress

Jonathan D Dunne

Xinlin Wang

June-Ray Lin

Dale Bowie

Jayachandu Bandlamudi

Alexander John Hennekam

Michael James Thomas

James Evans

Leigh Mclean

Michael Gray

Matthew Green

Simon Mcmahon

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating a security threat prediction. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a prediction component that analyzes a public data graph model to generate a primary security threat determination, wherein the prediction component can further generate a secondary security threat prediction based on the primary security threat determination and on a proprietary data graph model, wherein the proprietary data graph model comprises proprietary security threat data from a source, and wherein the proprietary security threat data has been scrubbed of source-identifiers. An obtaining component can obtain an agreement from the source to share the proprietary security threat data with another source that has access to the proprietary data graph model.

Security threat detection using collaborative intelligence

An embodiment for determining presentation content effectiveness using attraction modeling is provided. The embodiment may include receiving presentation content from a meeting host during on online collaborative meeting. The embodiment may also include capturing one or more actions of one or more users during a display of the presentation content to the one or more users. The embodiment may further include creating an audience attention model. The embodiment may also include in response to determining at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user. The embodiment may further include categorizing the one or more users into one or more groups. The embodiment may also include providing visual feedback to the meeting host.

Presentation content effectiveness using attraction modeling

Before deployment, artifacts and/or binaries are generated by the process of compilation from source code files are double signed with signatures. Immediately before deployment, a copy of the artifacts and/or binaries is made for the planned deployment and the double signed signatures are checked to ensure source code integrity and security.

Secure software compilation and software verification

Establishing a transfer mode between devices for large bulk records over a TLS protocol by fragmenting an encrypted bulk record into a set of pre-defined block sizes for convenient transfer. The pre-defined block sizes are specifically sized to indicate a beginning and an end of the transfer of the associated blocks making up the large bulk record. A middle box is unaware of the association between the blocks and permits transfer according to the maximum transmission unit of the transport layer security (TLS) protocol. The fragmented bulk record is reconstructed and decrypted for use after the transfer.

Bulk data transfers via transport layer security protocol

Transport Layer Security (TLS) connection establishment between a client and a server for a new session is enabled using an ephemeral (temporary) key pair. In response to a request, the server generates a temporary certificate by signing an ephemeral public key using the server's private key. A certificate chain comprising at least the temporary certificate that includes the ephemeral public key, together with a server certificate, is output to the client by the server, which acts as a subordinate Certificate Authority. The client validates the certificates, generates a session key and outputs the session key wrapped by the ephemeral public key. To complete the connection establishment, the server applies the ephemeral private key to recover the session key derived at the client for the new session. The client and server thereafter use the session key to encrypt and decrypt data over the link. The ephemeral key pair is not reused.

Forward secrecy in transport layer security (TLS) using ephemeral keys

An analyzer system inputs parameter values from trace files of a software application into an autoencoder. The analyzer system adjusts weights of the edges between nodes in the autoencoder until reconstruction errors in outputs are minimized. The analyzer system receives a selection of a parameter represented in an autoencoder. In response, the analyzer system identifies hidden layer nodes connected to an output node corresponding to the selected parameter and identifies other output nodes connected to the hidden layer nodes. The analyzer system retrieves weights assigned to edges between the hidden layer nodes and the other output nodes. The analyzer system calculates correlation values between the output node corresponding to the selected parameter and each of the other output nodes and outputs the correlation values. A user can use the correlation values to better direct the root cause analysis.

Correlation and root cause analysis of trace data using an unsupervised autoencoder

Described are techniques for generating an adaptive data protocol for an IoT network having a plurality community networks of IoT devices. The techniques include determining a data synchronization policy associated with Internet of Things (IoT) devices contained in a plurality of community networks within an IoT network. The techniques further include determining a data sharing policy associated with the IoT devices in the IoT network. The techniques further include analyzing transactions of the data synchronization policy and the data sharing policy to identify transactional inefficiencies in the data synchronization policy and the data sharing policy. The techniques further include generating an adaptive data protocol to increase transactional efficiency within the IoT network based on the analyzing of the data synchronization policy and the data sharing policy.

Adaptive data protocol for IoT devices

Electronic communication privacy verification is provided. An electronic communication associated with a set of addresses is received. The electronic communication is analyzed using an artificial intelligence model to classify a purpose for the electronic communication. Using an authorization database, it is determined whether each address in the set of addresses has been authorized for communication for the classified purpose. In response to determining at least one address has not been authorized for communication for the classified purpose, a sender of the electronic communication is prompted to remove the at least one address.

Privacy verification for electronic communications

In an approach to efficient concurrent TLS data streams, a parent connection is established by performing a normal TLS handshake. A concurrent mode of operation is negotiated, where one or more child connections are established without using the TLS handshake. The one or more child connections are associated to the parent connection. Child application traffic secrets are derived for each child connection of the one or more child connections from application traffic secrets of the parent.

Concurrent TLS data streams using a single handshake

A method, a computer program product, and a system for binding post-quantum certificates to traditional certificates. The method includes selecting a traditional certificate in a certificate chain owned by an owner. The method also includes calculating a fingerprint of the traditional certificate. The method further includes generating a post-quantum certificate with identical information fields as the traditional certificate, and populating a serial number of the post-quantum certificate using the fingerprint. The post-quantum certificate acts as an extension of the first traditional certificate providing authentication and validation between a client and a server using post-quantum capable signing algorithms.

Post-quantum certificate binding

A computer system determines stack usage. An intercept function is executed to store a stack marker in a stack, wherein the intercept function is invoked when a program enters or exits each function of a plurality of functions of the program. A plurality of stack markers are identified in the stack and a memory address is determined for each stack marker during execution of the program to obtain a plurality of memory addresses. The plurality of memory addresses are analyzed to identify a particular memory address associated with a greatest stack depth. A stack usage of the program is determined based on the greatest stack depth. Embodiments of the present invention further include a method and program product for determining stack usage in substantially the same manner described above.

Monitoring stack memory usage to optimize programs

Establishing secure communications by sending a server certificate message, the certificate message including a first certificate associated with a first encryption algorithm and a second certificate associated with a second encryption algorithm, the first certificate and second certificate bound to each other, signing a first message associated with client-server communications using a first private key, the first private key associated with the first certificate, signing a second message associated with the client-server communications using a second private key, the second private key associated with the second certificate, the second message including the signed first message, and sending a server certificate verify message, the server certificate verify message comprising the signed first message and the signed second message.

Certificate based security using post quantum cryptography

A method, a computer program product, and a system for embedding a message in a random value. The method includes generating a random value and applying a hash function to the random value to produce a hash value. Starting with the hash value, the method further includes reapplying the hash function in an iterative or recursive manner, with a new hash value produced by the hash function acting as an initial value that is applied to the hash function for a next iteration, until a bit sequence representing a message is produced in a message hash value. The method further includes utilizing the message hash value as a new random value that can be used by an encryption algorithm.

Message embedment in random values

A computer-implemented method for identity authentication in a data processing system, including: receiving, by the processor, an authentication request from a user; receiving, by the processor, real-time data from one or more Internet of Things (IoT) devices associated with the user; generating, by the processor, one or more questions based on the real-time data; receiving, by the processor, one or more responses to the one or more questions from the user; comparing, by the processor, the one or more responses from the user with one or more correct answers identified by the processor. If the one or more responses match the one or more correct answers, providing, by the processor, the user with a successful identity authentication.

Identity authentication based on data from Internet of Things devices

In an approach for securing data, a processor publishes a traditional public key in a traditional certificate and a PQC public key in a PQC certificate. A processor encrypts data with a hybrid shared secret, the hybrid shared secret generated with a key derivation function by using a traditional shared secret based on the traditional public key and a PQC shared secret based on the PQC public key. A processor decrypts the data with the hybrid shared secret based on a traditional private key and a PQC private key. A processor signs the data with a traditional signature followed by a PQC signature.

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Southport, Australia

Narayana Aditya Madineni