Tag Archive for: Analytics

Sensors Data Management, IoT Mining and Analytics

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Definition of Internet of Things (IoT )

The Internet of Things stands for IoT. Things refer to the items we use in our daily lives (e.g., domestic appliances and electronics). These items, termed the Internet of Things, are accessible or connected through the Internet. A network of physical items incorporated in the software, electrical devices and sensor systems that allow these things to gather and share data may be characterized as the Internet of Things.

The IoT objective is to increase the connectivity of the Internet from ordinary devices such as computers, mobile telephones, and electrical gadgets. Due to various technology convergence, real-time analytics, machine education, computer computer science, commodity sensors, and embedded systems, things have evolved. The Internet is supplemented by traditional areas of embedded systems, wireless sensor networks, control systems, automation (including building automation and home automation), and others. IoT technology is the most synonymous consumer technology with goods that support one or more common ecosystems under the idea of “smart home,” incorporating gadgets and appliances (for example lighting systems, thermostats, security systems, cameras, etc.). In medical systems, the IoT can also be employed.

The growing risk of the IoT is a series of severe issues, in particular in the field of privacy and safety.

 

Fig.1: Description image for IoT (Source: https://www.tutorialandexample.com/iot-tutorial/)

 

2. Sensors Data Management

Data management is the process of collecting and improving the whole accessible data. Different gadgets send enormous quantities and types of information from different applications. The management of all this IoT data requires creating and implementing architectures, rules, practices, and methods that satisfy the whole demands of the data life cycle.

Things are controlled by intelligent gadgets for task automation so that our time is saved. Smart objects can gather, transmit and comprehend information, and a tool to aggregate information and make conclusions, trends and patterns will be necessary.

 

Fig.2: Steps in IoT data management ( Source:

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Binance reveals how data analytics led to ransomware-linked money laundering bust

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Crypto-exchange exploits OpSec mistakes to bust crooks

Binance offers details on how it is using data analytics to fight money laundering

The Binance cryptocurrency exchange has explained how advances in data analytics helped it track down a group of money launderers involved with various cybercrimes, including the notorious Clop ransomware scam.

Ukrainian police announced the arrest of individuals and the takedown of infrastructure related to the ‘Clop’ ransomware operation earlier this month.

Binance’s statement confirms that those arrested were cashing out and laundering funds, rather than being behind the creation of the ransomware.

The group – also known as FANCYCAT – had their fingers in numerous criminal scams including laundering money for dark web operators as well as ransomware peddlers.

Follow the (digital) money

Analogous with drug dealers, the funds extracted from victims through criminal activity such as ransomware need to be disguised before they can be safely spent in the real world to buy goods. That’s because any funds tied back to criminal activity can become the target of forfeiture orders.

Even if money is already in digital form there is a need to launder it, with abusing exchanges being one of the main techniques in play.

“Blockchain analysis shows a network of money launderers living inside macro exchanges which deposit and withdraw to each other to wash the money,” according to Binance, the Cayman Islands-domiciled crypto exchange.

Based on this insight, Binance was able to apply detection mechanisms to identify and interdict suspect accounts before working with law enforcement to build cases and take down criminal groups, as it explained in a blog post about the investigation.

We applied the two-pronged approach to the FANCYCAT investigation: our AML detection and analytics program detected suspicious activity on Binance.com and expanded the suspect cluster. Once we mapped out the complete suspect network, we worked with private sector chain analytics companies TRM Labs and Crystal (BitFury) to analyze on-chain activity and gain a better understanding of this group and its attribution.

Based on our analysis we found that this specific group was not only associated with laundering Clop…

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GBT Seeking to Adapt xCalibre Pattern Recognition Technology for Medical Imaging Analytics

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SAN DIEGO, June 08, 2021 (GLOBE NEWSWIRE) — GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”), is seeking to adapt its xCalibre image analysis to post process health related imaging data with the goal of detecting potential issues and providing higher accuracy diagnostics. xCalibre imaging algorithms has the capability of processing high resolution images and videos detecting wide variety of pre-defined irregular objects. Using GBT’s proprietary neural network technology along with its computational geometry algorithms, GBT is seeking to adapt xCalibre to analyze post processed imaging of CT, Ultrasound, MRI and X-RAY. The goal will be to identify abnormalities and alerted medical professionals for further investigation. xCalibre system makes it possible to process and analyze imaging information, identifying anomalies of interest. The system includes technology that is protected with the Company’s recent filed image recognition patent. xCalibre’s cognitive capabilities enables it to learn with time and to accumulate knowledge in the same pattern as a human would.

“we intend to develop our xCalibre system using our proprietary computational geometry algorithms to scan, pixelate and analyze a very high-resolution image. We believe our AI technology could make it a potential intelligent assistant for medical professionals in wide variety of health fields. For example, as an assistance in X-RAYS or Ultrasound images. Another example can be a CT or MRI imaging analysis. Our goal is to implement xCalibre to post process images of MRI, X-RAY, Ultrasound and CT, analyzing for suspicious abnormalities. xCalibre is capable of vast amount of data handling, which enables rapid imaging analytics. We believe that such system can be of a great asset for medical professionals providing what is expected to be a precise image analytics assisting with accurate diagnostics.” Stated Danny Rittman the Company’s CTO.

There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully…

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Mavenir extends AI and analytics portfolio to enable optimization, automation and security of mobile networks

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Mavenir extends AI and analytics portfolio to enable optimization, automation and security of mobile networks

Mavenir, the industry’s only end-to-end cloud native network software provider and a leader in accelerating software network transformation for communication service providers (Communication Service Providers , CSPs), today announced its extended portfolio of artificial intelligence (AI) and analytics to enable closed-loop automation and drive digital transformation.

Mavenir’s AI / ML-based security and anti-fraud solutions are taking care of Telefónica Argentina’s continued revenue savings”

AI and machine learning (ML) in the mobile network infrastructure are expected to reduce costs by automating functions that normally require human interaction, and to accelerate new revenue-generating service offerings, becoming increasingly important as open radio access networks (Open RAN) and 5G cores are deployed.

Mavenir’s AI and analytics portfolio includes solutions designed to analyze and derive inferences from large amounts of unstructured data to automate networks, achieve cost savings and build 5G use cases. Many Industry 4.0 use cases, such as Intelligent Video Analytics and AR / VR, are powered by 5G which require AI-based inferences at the tip. Mavenir’s portfolio includes these AI-enabled applications for network automation, intelligent operations, EdgeAI and network security.

  1. Network Automation: Mavenir’s RAN Intelligent Controller (RIC) and Network Data Analytics Function (NWDAF) follow the specifications introduced by the O-RAN Alliance and 3GPP and operate at the heart of a network automation vision. RIC and NWDAF allow the network to dynamically adapt to traffic conditions, using machine learning (ML) based algorithms and applications that can be deployed on any network in a multi-vendor environment. Mavenir’s containerized RIC and NWDAF product features include:
  •    Non-RT RIC: designed to host advanced ML algorithms (rApps) to optimize network performance and train ML models using long-term RAN data for dynamic and adaptive policies to optimize RAN performance.
  •    Near-RT RIC: designed to host trained AI / ML models (xApps) to infer and control functional O-RAN elements in near real time.
  •    NWDAF: designed to…

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