Hewlett Packard Enterprise Development LP

Ramasamy Apathotharanan

Madhusoodhana Chari Sesha

Rangaprasad Sampath

Srinidhi Hari Prasad

Priyanka Chandrashekar Bhat

Ganesh Pagoti

Karthik Arumugam

Azath Abdul Samadh

Venkatesh Madi

Sriram Mahadeva

Manjunath Rajendra Batakurki

Shree Phani Sundara Banavathi Narayana Sastry

Fahad Kameez

Harish Ramachandran

Madhumitha Rajamohan

Kumar Suresh

Some examples relate to classifying IoT malware at a network device. An example includes receiving, by a network device, network traffic from an Internet of Things (IoT) device. Network device may analyze network parameters from the network traffic with a machine learning model. In response to analyzing, network device may classify the network traffic into a category of malware activity. Network device may determine an effectiveness of network traffic classification by measuring a deviation of the network parameters from previously trained network parameters that were used for training the machine learning model. In response to a determination that the deviation of the network parameters from the trained network parameters is more than a pre-defined threshold, network device may generate an alert highlighting the deviation, which allows a user to perform a remedial action pertaining to the IoT device.

IoT malware classification at a network device

Provided is a method of troubleshooting an OpenFlow network. A test packet is sent to a test node on the OpenFlow network. A response from the test node is validated against an expected response. If the response is consistent with the expected response, a modified test packet is sent to a further test node on the OpenFlow network. If the response is inconsistent with the expected response, a notification is provided to a user.

Troubleshooting openflow networks

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Bengaluru, India

Ramasamy Apathotharanan