DPI
Solutions

Custom DPI Software Development

We develop Deep Packet Inspection (DPI) solutions for companies that want to control the content of data packets on their networks. Leveraging our in-depth knowledge of DPI network monitoring and security, our experts can guide you in selecting the ideal solution for your business needs.

At Promwad, we have a proven track record in successfully implementing custom DPI software across diverse platforms, including on-premise appliances, virtual machines, and cloud-based services, ensuring seamless integration and enhanced network security for our clients.

DPI: Improving Traffic Management and Analysis

Network traffic inspection, known as Deep Packet Inspection (DPI), is a real-time method of examining network traffic to detect and prevent security threats. DPI analysis helps to review the complete data packet, including the header and payload, to identify malicious traffic.

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Optimising network resources

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Enhancing security

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Improving user experience

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Monitoring network performance

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Providing enhanced network visibility

Reducing costs through efficient resource allocation

Кey Functions of DPI

  • Network traffic analysis
  • Packet capture
  • Protocol decoding
  • Signature-based analysis
  • Behavioural analysis
  • Access control and strong authentication
  • Traffic management: filtering and redistribution
  • Application identification
  • Intrusion detection and prevention
  • Regulatory compliance monitoring
  • Traffic classification
  • Metadata extraction
  • Flow analysis
  • Session reconstruction
  • Pattern matching
  • Anomaly detection
  • Heuristics
  • Content-based analysis
  • Statistical and payload analysis
  • SSL/TLS decryption
  • Network visualisation
  • Network telemetry
  • Quality of Service (QoS) monitoring

Our Case Studies on DPI Solutions

Smart router for content filtering

Commissioned by our client, we developed intelligent content-filtering routers that offer numerous features to enhance security and control:

  • Fishing site blocking
  • Parental control
  • Anti-tracking
  • Privacy protection
  • Secure DNS
  • Ad blocking

→ Read more about this case study

Network probe

By porting OpenWRT to wireless network devices, we assisted our client in verifying network quality and enhancing the user experience through the following functions:

  • Checking the connection speed and quality
  • Identifying unauthorised access points
  • Detecting interference on channels
  • Identifying overloaded networks or channels
  • Testing performance
  • Finding areas with poor coverage
→ Read more about custom OpenWRT in our projects

Our Tech Map in DPI

Languages

C/C++ | Python | Go | Java | Rust

Databases

MySQL | PostgreSQL | MongoDB | DynamoDB| Redis

Tools

Wireshark | Snort | Suricata | TensorFlow | Apache Kafka | Docker

3rd–party cloud platforms

Amazon Web Services (AWS) | Microsoft Azure | Google Cloud Platform (GCP) | IBM Cloud | Oracle Cloud | Bosch IoT Suite

Frameworks and technologies

Multithreading | FPGA-based acceleration | Data plane development kit (DPDK) | Programmable network interfaces

Network virtualisation

Abstraction of network resources from the physical infrastructure, leading to increased flexibility, scalability, and security.

Application virtualisation

Isolation of applications from the operating system and hardware, resulting in improved portability, deployment, and security.

Server and storage virtualisation

Division of physical servers and storage into multiple virtual machines, enhancing resource efficiency, scalability, and fault tolerance.

We Work With

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Startups

We assist startups in DPI software solutions development by providing engineering teams to address specific challenges, fill resource gaps, and accelerate their growth.

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Enterprises

We provide DPI software development services for telecom companies, internet service providers, healthcare institutions, financial organisations, and other businesses.

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Tech Partners

We can be your reliable technology partner, building DPI solutions tailored to your objectives. Our team is ready to become an integral part of your project.

Why Promwad

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Network expertise

We provide end-to-end network design services, employing our in-depth knowledge in network technologies, protocols, and configurations for routers, switches, firewalls, and other devices. 

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Focus on security

We implement robust security protocols, including access control, multi-factor authentication, encryption, and other advanced security measures, to safeguard against network threats.

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Cutting-edge DPI

We use custom FPGAs, network-friendly switches, ARM processors, and Intel architecture for rapid development and scalable infrastructure. Our AI team handles encrypted traffic and threat detection.

Our Engagement Models

Time & Material

– Payments for actual hours worked
– Regular reporting of time and results
– Regular communication with the team
– Connecting / disconnecting engineers on request
– Flexible development process

Dedicated Team

– Fixed monthly costs
– Custom-built team with specific competencies
– Fully dedicated engineering team
– Comprehensive IT infrastructure
– Max efficiency for complex projects

Project-Based

– Budget control
– Reduced risk
– Flexible resource allocation
– Clear scope
– Predictable timeline
– Quality control

Do you need a quote for your DPI software development?

Drop us a line about your project! We will contact you today or the next business day. All submitted information will be kept confidential.

FAQ

How can DPI analyse encrypted traffic?

 

Deep Packet Inspection solutions analyse encrypted traffic by decrypting it using various techniques, such as SSL/TLS interception. This process involves terminating the SSL/TLS session at the network security device and then analysing the decrypted content.

DPI inspects the content and applies analysis methods to identify patterns, signatures, or behaviours that indicate potential security threats or policy violations.

 

Can DPI machine learning adapt and evolve to new network traffic patterns and emerging threats?

 

DPI machine learning can do that. By continuously training on large datasets, algorithms learn and recognise new patterns and anomalous behaviours, allowing DPI to stay up-to-date with evolving threats and adapt its detection capabilities accordingly.

 

What are the key challenges and limitations of DPI technology?

 

  • handling encrypted traffic,
  • managing high-speed networks with large volumes of data,
  • ensuring accuracy in traffic classification,
  • dealing with false positives or negatives,
  • respecting privacy concerns associated with deep inspection of network traffic.
 

Are there any regulatory considerations or legal implications related to DPI deployment?

 

Yes, we should consider the legal aspects when deploying  DPI. Deep packet inspection  involves the analysis of network traffic and can potentially access sensitive information. Therefore, it's critical to ensure compliance with local laws and regulations, such as GDPR in Europe and CCPA in the US, and obtain necessary consents or permissions when handling sensitive user data.

 

How does DPI contribute to network performance optimisation and bandwidth management?

 

DPI provides detailed insights into network traffic patterns and application usage. For example, DPI software can identify and prioritise real-time traffic, such as video conferencing and VoIP, over non-real-time traffic, such as file downloads. With this information, organisations can prioritise critical applications, implement quality of service (QoS) policies, optimise bandwidth allocation, and identify and manage bandwidth-intensive applications or protocols that may impact network performance.

 

How can organisations effectively integrate DPI into their existing network infrastructure?

 

Companies should evaluate their specific security and performance needs to seamlessly integrate Deep Packet Inspection software and hardware into the existing network infrastructure.

This process involves:

  1. Understanding network architecture and components.
  2. Identifying suitable deployment points based on traffic patterns and security requirements.
  3. Assessing scalability and performance needs for efficient implementation.
  4. Considering hardware and software requirements and configuration.
  5. Ensuring interoperability with existing network components.
  6. Integrating the solution with existing security tools for enhanced DPI network security.
  7. Incorporating the solution into network management systems for centralised operation and DPI network monitoring.
  8. Providing training and support to administrators and users.
  9. Conducting periodic assessments and updates to optimise performance and adapt to network changes.