Method And System For Emv Quantum Computing Mitigation Without Post-Quantum Cryptography, Kim Wagner, Brian Sullivan, Christian Aabye, Dinah Sloan, Hao Ngo

Defensive Publications Series

The aspect of the present disclosure relates to a method 300 for mitigating the risk of quantum computing in EMV offline chip payments, The method 300 comprises creating 301, by a certificate authority 107, the lifespan of issuer and payment system 103 keys of a predetermined time period and creating 303, by a payment system 103, Integrated Circuit Card (ICC) certificate and issuer certificate The method 300 also includes generating 305, by a payment system 103 for each issuer, a periodic personalization file for each card to be issued for the predetermined time period and transmitting 307, by the ICC, …

User-Driven Data Privacy Protection In An Iot Environment, Nivetha B, Frank Michaud, Rahul Kata, Pranetha Priya R, Ganesh Paramasivan

Defensive Publications Series

Techniques are presented herein that enhance user data privacy in an Internet of things (IoT) environment. Aspects of the techniques introduce a third actor into such an environment – apart from a user and an IoT device – whose sole purpose is to empower a user to protect their own data. Such a data Custodian or Sanitizer may collect inputs from a user through a software as a service (SaaS) solution and then leverage the capabilities of the extended Berkeley Packet Filter (eBPF) to apply those inputs to an IoT device.

Generative Artificial Intelligence Based Content Quality Check, Palak Jain

Defensive Publications Series

Media content providers can provide media content of different varieties to a television (TV) application that then presents the media content for viewing by a user. For example, the user may watch and/or listen to the media content on a mobile computing device such as a laptop computer, tablet computer, or smartphone. The user may also watch and/or listen to the media content on a TV set (e.g., a smart television). In some implementations, a provider of the TV application may analyze and evaluate each media content item provided by the media content providers before allowing the TV application to …

Webrtc Animation Transport Proposal, Paul Kerr

Defensive Publications Series

Video chat in a virtual environment can include avatars that are animated to track the facial expressions of a speaker. While most chat interfaces have the capability of transporting video streams captured at a client device, most do not support transporting animation data related to animating a user’s avatar in the virtual chat. In these scenarios, conventional chat technologies may transport the entire video to enable a client device to extract data for animation, e.g., facial coordinates. This is wasteful of network bandwidth and client device battery life, and unsuitable for client devices with low computational capacity. Techniques are described …

Presenting Information Based On Inferred Interpersonal Relationships, N/A

Defensive Publications Series

Users often meet someone new, or someone known that the user has forgotten. In such cases, it is typically useful to learn, deduce, or recall details of the person. This disclosure describes techniques, implemented with user permission, that help users in contextual identification of unfamiliar individuals they meet in various situations. Identification can be performed with appropriate permissions by applying computer vision and facial recognition to people’s photos and other relevant contextual information. Implementations can combine standard off-the-shelf components such as face recognition, speech recognition, OCR, AR, LLM, etc. Relevant cues about the individuals can then be proactively surfaced via …

Strategic Approaches To Mitigate The Impact Of Ebola Virus Disease In West African Nations

Defensive Publications Series

Ebola Virus Disease (EVD) poses a significant threat to global health, with mortality rates ranging from 50% to 90% during outbreaks. Identified initially in 1976 near the Ebola River in what is now the Democratic Republic of Congo, EVD has periodically led to severe outbreaks. The recent epidemic in West Africa, notably affecting Guinea, Sierra Leone, and Liberia, underscores the urgent need for robust health infrastructure and international collaboration to address such pandemics. This study delves into the outbreak's dynamics and countermeasures in these countries, aiming to shed light on enhancing global health responses to EVD and similar health emergencies. …

Optimization Strategies For Epidemic Control: A Case Study On Ebola In West Africa

Defensive Publications Series

Ebola Virus Disease (EVD) remains one of the deadliest viral infections, with mortality rates ranging from 50% to 90% during outbreaks. Identified first in 1976 near the Ebola River in what is now the Democratic Republic of Congo, EVD outbreaks have sporadically emerged, causing widespread devastation. The recent epidemic in West Africa underscores the critical need for robust health systems and international collaboration in disease management. This paper examines the outbreak dynamics and response efforts in Guinea, Sierra Leone, and Liberia—countries severely impacted due to fragile healthcare infrastructures. Our analysis aims to glean insights into enhancing healthcare responses to EVD …

Strategies For Controlling Ebola Outbreaks In West Africa: An Optimization Model Approach

Defensive Publications Series

Ebola Virus Disease (EVD) is a severe, often fatal illness in humans, with an average fatality rate of about 50%, which can rise to 90% during outbreaks. Since its first identification in 1976 near the Ebola River in the Democratic Republic of Congo, EVD has led to sporadic, yet devastating outbreaks. The most significant of these occurred recently in West Africa, majorly impacting Guinea, Sierra Leone, and Liberia due to inadequate healthcare systems. This crisis underlines the urgent need for enhanced global health security and international collaboration to manage such diseases effectively. This study analyzes the outbreak and response strategies …

Positional Embedding Meets Structural Embedding Of Graph Representation Learning, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang

Defensive Publications Series

Present disclosure discloses a computer-implemented method of positional embedding for encoding positional information. The computer-implemented method includes generating a positional embedding for a node utilizing a random walk with restart (RWR) proximity distribution to generate a pairwise proximity distribution matrix comprising a plurality of rows. The computer-implemented method includes sorting the pairwise proximity distribution matrix for the node. The computer-implemented method includes generating a structural embedding based on the sorting of the pairwise proximity distribution matrix for the node.

Deepfake-Resistant Video Using Blockchain Ledgers And Machine Learning, Stephane Belmon, Roshan Rammohan

Defensive Publications Series

With the advent of deepfakes videos, it is important for the purposes of promoting societal trust to be able to verify the authenticity of a person who appears in a social media audiovisual stream or a broadcast/cable television video. This disclosure describes techniques that enable the viewer of a particular piece of video purporting to show a person to verify that the video indeed represents the person authentically in all respects, e.g., that the person truly made the statements heard in the video and did so with their authentic tone, cadence, delivery, body language, etc. A video camera certified as …

Authentication Based On Wifi Auto-Connect And Device Location, Hui Wang, Xiaoying Liu

Defensive Publications Series

This disclosure describes techniques that leverage WiFi authentication to enable certain tasks or run certain applications on a mobile device when the user is in a specific location and their device is connected to a specific WiFi network. When the device automatically connects to a WiFi access point, the WiFi network is tested for membership in a predefined list. If the WiFi network is found in the predefined list, it is determined whether the device is within a predefined geofence. If the device is in the geofence, one or more predefined actions are automatically performed. In secure and familiar environments …

Generative Video Ads Tailored To Market Segments, Manoj Muthamizh Selvan

Defensive Publications Series

With user permission, advertisements that are delivered to a user can be selected based on user data in a manner that the advertisements are likely to be useful to the user. However, the content of the advertisement itself is not personalized to the viewer or viewer group/ market segment. This disclosure describes techniques that utilize generative artificial intelligence (gen AI) to automatically create video ad content customized to particular market segments. Inputs from the advertiser such as brand images, logos, props, etc., together with market segment descriptions are provided to a large language model (LLM) that generates text prompts. The …

Dynamic Credit Limit Adjustemnt System, Palakh Shangle Visa

Defensive Publications Series

The present disclosure relates to a Dynamic Credit Limit Adjustment System which is an innovative financial technology solution designed to transform the way credit limits are managed by financial institutions. Utilizing advanced artificial intelligence (AI) and machine learning algorithms, this system dynamically adjusts an individual's credit limit in real-time based on a comprehensive analysis of their financial data. This system integrates various financial indicators such as income changes, spending patterns, payment history, and current economic trends to provide a more accurate and responsive credit limit. By doing so, it addresses the limitations of traditional credit limit assignment methods, which are …

Method And System To Classify Regional Vs Non-Regional Profile, Jyothi Jayakumar, Velkumar Thangavel, Soman Sounderrajan

Defensive Publications Series

The present disclosure includes methods, systems and computer program products for implementing technical design details for an application change. Particularly, the present disclosure provides a method comprises enabling 302 the prompt page for the given dossier. Further, the method 300 comprises accessing 304 the user profiles based on the given profile filter. Furthermore, the method 300 comprises determining 306 to classify the user profiles based on regional and non-regional profiles, for implementing the changes in the user application. Particularly, the present disclosure provides a system that may include the application change for modifying file system, user interface, and business …

Monochrome Temporal Dithering Using A Color Dither Mask, Edward Buckley, Pin-Chieh Huang

Defensive Publications Series

No abstract provided.

Reinforcement Learning Based Mechanism For Automatic Exploitability Testing, Chris Schneider, Nic Watson, Martin Sablotny, Ross Anderson

Defensive Publications Series

This disclosure describes the use of reinforcement learning techniques to generate code exploits that can validate findings of vulnerability in an automated fashion. Using static analysis, a machine learning model is built with a large corpus of code with known exploits. A cost function and associated criteria are updated to determine legitimate vulnerabilities. The model output is a number of proof-of-concept exploits that can be reused and run across the output of the static analysis tool. Executions resulting in an exploit provide proof of validity and can be flagged for remediation. Validation criteria for software mitigation and procedural controls are …

Natural Conversational Interaction With Ai Agent Using Spoken Interrupt Context, Will Walker

Defensive Publications Series

Virtual assistant applications and other artificial intelligence (AI) agents can use large language models (LLMs) to generate responses to spoken user queries. However, responses from LLMs can be long and include more information than the user’s specific need. As a result, it can be difficult for users to understand and remember the answers easily simply by listening. This disclosure describes techniques to enhance the conversational capabilities of voice based interactions with virtual assistant applications and other AI agents by enabling users to interrupt spoken responses with a new query. The context of the interruption, including contents of the spoken response …

Additional Control Data Path Into Legacy Pluggable Form Factors, Brandon Dusek, Aj Velarde, Latha Sathappan, Hailing Wang

Defensive Publications Series

Techniques are presented herein that support an additional control data path for a pluggable module that employs the module’s Vcc power pins. Adding a signal modulation path to a pluggable module’s Vcc power delivery and then using the same as a management communication interface provides a form-factor agnostic approach to expand a module’s management channel. Such a data path can operate in addition to the Inter-Integrated Circuit (I2C) interface communication lines to support the sending of larger amounts of data at cumulatively faster speeds. Additionally, the presented techniques provide an approach to backward compatibility that will be tolerable by older …

Efficient Augmentative Communication Using Large Language Models, Adriana Guevara-Rukoz, Atsuko Yamagami, Atsushi Yamashita, Satoru Arao, Yasuaki Takebe, Shuhei Iitsuka

Defensive Publications Series

For augmentative and alternative communications (AAC), there exists an inverse relationship between input expressivity and input efficiency: A technique that selects characters one-by-one provides substantial freedom of expression but requires many actions to compose a sentence, while techniques that select from a preset vocabulary can enable quicker input that is limited to the vocabulary. This disclosure describes techniques of augmentative and alternative communication that leverage a large language model (LLMs) to simultaneously optimize both input expressivity and input efficiency. Upon the entry of a few characters of a sentence or command (e.g., using eye trackers, finger tapping, etc.), word and …

On-The-Fly Measurement Unit Conversion, Daniel V. Klein, Jonathan C. Chu

Defensive Publications Series

Mobile devices include features to provide translation of text, audio, and video between languages. Multimodal translation enables users to interpret information in languages that they do not understand by having it automatically translated to their preferred language. However, current translation techniques do not convert measurement units. This disclosure describes techniques that provide on-the-fly conversion of measurement units and currency based on user preference. The user can specify their preferred unit for temperature, weight, distance, etc. as well as their preferred currency. When providing a translation or otherwise displaying text, the user device can automatically detect information that is in a …

Selective Enhancement Of Timeboxed Video Segments For Security Camera Recordings, Alexander Haubold

Defensive Publications Series

Video captured by security cameras is of low resolution and quality, especially in low-light environments. Currently, such cameras do not have the capability to enhance the recorded videos to fix such issues. While cloud-based video enhancement is feasible it is computationally resource intensive and slow, making it unsuitable for use in enhancing security camera footage. This disclosure describes techniques to selectively apply video enhancement to timeboxed segments within the video content recorded by a security camera. A human operator or a computer-vision based automated technique identifies a segment or a set of segments related to an event of interest within …

Method And System Of Smart Data Selection For Continual Model Training, Zhuoyi Wang, Weijia Xu, Pei Yang, Chao Chen, Dan Wang

Defensive Publications Series

The present disclosure relates to a method and system (102) for smart data selection for continuous training of the machine learning model (104). The system (102) is configured to perform a mini-batch representation by calculating a gradient vector for each data point in a mini-batch and assess the mini-batch-level similarity. It may be configured to measure how well a given data instance describes a current task at each training step of the machine learning model (104) and to minimize redundancy among one or more data samples of the current task to ensure that the selected coreset covers a diverse range …

Qkd-Native Pluggable Transceiver, Dan Holme

Defensive Publications Series

Quantum Key Distribution (QKD) architectures are being introduced as a mechanism to facilitate secure network communications through the use of quantum keys that can be distributed to nodes seeking to communicate via a secure connection/communication session. With the introduction of QKD architectures, hardware development opportunities exist, particularly with regard to hardware that can be utilized to perform quantum-secure communications within a QKD architecture. Presented herein is a QKD-native pluggable transceiver that may be utilized by nodes within a QKD network architecture to support quantum-secure communications among the nodes.

Multiple Offloaded And Filtered Ble Advertisement Scanners, Jack He

Defensive Publications Series

Scanning operations in Bluetooth low energy (BLE) can be offloaded from the application processor to an auxiliary chip to save power. However, when scanning operations of multiple Bluetooth applications with differing scan intervals and scan windows are merged, power consumption can actually go up because the more frequent scanner can dominate the scanning schedule. This disclosure describes techniques to reduce power consumption during offloaded scan-filtering operations of multiple simultaneous Bluetooth low energy scanners. The Bluetooth controller is made capable of processing multiple scan intervals and scan windows by setting the scan epoch to the greatest common divisor of the scan …

Targeted Video Selection Using Llm-Guided, Interactive Semantic Search, D Shin

Defensive Publications Series

Video search interfaces enable users to enter keywords or phrases in a search box to search for videos. However, when initial search results do not meet the user’s needs, users have to re-initiate the search with a modified set of keywords with corresponding new results, which is inefficient and does not utilize information from the previous search. This disclosure describes techniques that enable users to perform interactive video search with iterative use of a large language model (LLM) to identify matching search results. If initial query results are unsatisfactory, the user can provide additional clarifying input in the search box. …

Using Target Wake Time To Mitigate The Effects Of Scanning On Latency In Wifi, Ahmed Elarabawy

Defensive Publications Series

WiFi scanning causes the radio to go off-channel to scan for other channels in the WiFi band. This results in excessive latency or breakage in connectivity for latency sensitive applications. This disclosure describes techniques that leverage the target wake time (TWT) feature of WiFi to reduce or eliminate latency or breakages in connectivity arising from scanning. Prior to running a scan, the device sets up a TWT session. Parameters of the TWT session such as service period, session interval, etc. are selected according to the latency requirements of the device. Uninterrupted scans are performed using the main core of the …

Access Control Based On Entire Request Path, David Challoner

Defensive Publications Series

A technique is proposed for signaling when a request path leaves the permissible regions by considering the entire request path as an authorization signal. A data access controller, after receiving a data access request, can determine whether the requested data is subject to regional limitations. If the data is subject to such limitations, the data access controller determines whether each device of the request path is within permissible regions of applicable data controls. The data access controller can also use a device inventory database to apply additional controls based on the characteristics of devices in the request path. If a …

Network Egress Load Prediction Using Artificial Neural Network (Ann) Models, N/A

Defensive Publications Series

The technology described here is about predicting future network traffic conditions in a network of computing devices, using a machine learning model, such as a long short-term memory (LSTM) model. An LSTM model is trained on network traffic data, which characterizes or quantifies traffic conditions on different links or devices of a network. The output of the trained model is a prediction of traffic conditions over the network within a future time window, for example within the next minutes, hours, days, or longer. The model is trained with a weighted version of the root mean squared error (RMSE) error function, …

A Method To Establish Network Connectivity Between Printer & Printing End Points Using Out Of Band Discovery Mechanism, Hp Inc

Defensive Publications Series

Most of the modern-day devices like printers, scanners etc. are Wi-Fi enabled. It has been observed that various environmental factors cause connectivity loss between computer and these devices. In this disclosure we propose a method to automatically restore the connectivity between these devices and the computer.

Llm-Based Natural Conversational Agent With Speech Collision Detection For Early Prompt Abort, D Shin

Defensive Publications Series

Virtual assistants, chatbots, and other natural language conversational agents enable users to provide spoken or text queries in a natural manner and receive responses. Such conversational agents can utilize large language models (LLMs) as a backend mechanism for query interpretation and response generation. When a user pauses or otherwise interrupts the query input, or modifies query input, the LLM may generate and provide a response to the original query rather than the user’s intended query. This disclosure describes techniques that enable on the fly query interpretation and updates to response generation when a user in conversation with a conversational agent …