MLP used in analyzing and optimizing the operation of city-wide energy grid at Huadian - a case brief

Huadian corporation is a large energy conglomerate with 7 publicly traded subsidiaries, and a revenue of $30B.

At Huadian Corporation's city-wide home heating power grid, MLP monitors power plant, heat exchangers and associated equipments' data. Values such as pressures, temperatures, flow rates, electricity power consumption, etc. are captured in real time, along with weather information. MLP analyzes the data, and applies machine learning algorithms to determine optimal operating conditions. It also forecasts energy needs for the next several days based on weather forecast data

case 1:

MLP used in the consolidation and analysis of all of IT logs at SCCBA - a case brief

SCCBA consolidates IT operations of 16 commercial banks in Shandong province

At SCCBA, MLP collects operational logs from servers, applications, network devices, and business transaction systems (order of TB/day). The logs are parsed using MLP's parsing engine to extract hundreds of key operating parameters for further data analysis and machine learning. The logs are also indexed into MLP's search engine

case 2:

MLP used in internal security posture monitoring at SCCBA - a case brief

At SCCBA, MLP uses machine learning to create a portrait profile of internal TCP connection pairs. It uses firewall logs to get the connection information. It looks for new connections, long and short duration connections, and lost connections. Then, any abnormalities are flagged and made into an alert. The connections are also color-coded based on their behavior changes.

MLP used to analyze banking transaction applications at Guilin Bank - a case brief

Guilin bank is a large regional bank in China, located in Guilin in the southwestern region.

At Guilin Bank, MLP is deployed to collect network, security, systems, applications and transaction events and logs. The transactions originate from teller terminals, mobile phone banking, web banking, ATM, and POS systems. MLP uses its parsing and in-memory stream analytics capability to extract key IDs and other parameters, stitches the transaction steps together, and reconstructs the transaction flows. Then conducts further statistical analyses, and machine learning based classification, and anomaly detection.

MLP used to analyze worldwide email messaging at CNPC - a case brief

CNPC is the fourth largest company in the Fortune Global 500 list, with 1.6 million employees and $263B revenue

MLP monitors all email messages passing through all email servers of CNPC at various locations worldwide. There are dozens of internal email domains and millions of external domains. It extracts over 20 features from each email message, applies multidimensional unsupervised machine learning technology, and determines abnormal email activities and risks to the company.

MLP used for network traffic analysis at ABC - a case brief

Agricultural Bank of China is a large national bank with assets of 13.24 Trillion Yuan and revenue of 421.96 Billion Yuan.

At Agricultural Bank of China, network traffic connections were analyzed using MLP's packet decoder. The connections were reconstructed and protocols were decoded. It includes TCP, UDP, HTTP, DNS, FTP, etc.