Network security analysis for smart appliances
A method and system for detecting malicious behavior from smart appliances within a network. Smart appliances have a certain level of intelligence that allows them to perform a specific role more effectively and conveniently. Network traffic data and appliance identification data is collected about smart appliances within a network. The data is sent to a behavior analysis engine, which computes confidence levels for anomalies within the network traffic that may be caused by malicious behavior. If the behavior analysis engine determines that malicious behavior is present in the network, it sends an instruction to a network traffic hub to block network traffic relating to the anomaly. In some embodiments, network traffic is blocked based on source-destination pairs. In some embodiments, network traffic is blocked from a device outside the network that is determined to be malicious.
1. A computer program product comprising a non-transitory computer-readable storage medium comprising instructions encoded thereon that, when executed by a processor, cause the processor to:
intercept, at a network traffic hub within a local network, a set of network communications from one or more smart appliances within the local network;
receive traffic control instructions from a behavior analysis engine associated with the network traffic hub, the traffic control instructions identifying a smart appliance of the one or more smart appliances and including a numeric confidence value representative of a probability that the smart appliance includes malicious code;
in response to the numeric confidence value being greater than a first threshold, block subsequent traffic to and from the identified smart appliance; and
in response to the numeric confidence value being less than the first threshold but greater than a second threshold, add the identified smart appliance to a security watchlist,
allow subsequent traffic to and from the identified smart appliance, and provide by redirecting the subsequent traffic to and from the identified smart appliance to a server for analysis for malicious behavior.
2. The computer program product of claim 1 , wherein the network traffic hub bridges network traffic between a router and the smart appliances.
3. The computer program product of claim 1 , further comprising instructions that, when executed, cause the processor to:
replace a default gateway of the local network with an internet address associated with the network traffic hub.
4. The computer program product of claim 3 , further comprising instructions that, when executed, cause the processor to replace the default gateway using a man-in-the-middle attack.
5. The computer program product of claim 4 , wherein the man-in-the-middle attack comprises one of: ARP spoofing; an ICMP attack; a DHCP attack; and port stealing.
6. The computer program product of claim 1 , wherein the network traffic hub comprises one or more devices within the local network.
7. The computer program product of claim 1 , further comprising instructions that, when executed, cause the processor to:
receive a security key from a hub administration platform;
connect to the hub administration platform using the security key; and
transmit diagnostic information to a third party computer via the connection to the hub administration platform.
8. The computer program product of claim 1 , wherein the network communications include one or more of: source internet addresses, destination internet addresses, packet sizes, packet counts, source MAC addresses, destination MAC addresses, DNS query information, DNS query response data, and bandwidth between a source internet address and a destination internet address.
9. The computer program product of claim 1 , wherein blocking subsequent traffic to and from the identified smart device comprises quarantining network communications associated with the identified smart appliance.
10. A method comprising:
intercepting, at a network traffic hub within a local network, a set of network communications from one or more smart appliances within the local network;
receiving traffic control instructions from a behavior analysis engine associated with the network traffic hub, the traffic control instructions identifying a smart appliance of the one or more smart appliances and including a numeric confidence value representative of a probability that the smart appliance includes malicious code;
in response to the numeric confidence value being greater than a first threshold, blocking subsequent traffic to and from the identified smart appliance; and
in response to the numeric confidence value being less than the first threshold but greater than a second threshold, adding the identified smart appliance to a security watchlist,
allowing subsequent traffic to and from the identified smart appliance, and providing by redirecting the subsequent traffic to and from the identified smart appliance to a server for analysis for malicious behavior.
11. The method of claim 10 , wherein the network traffic hub bridges network traffic between a router and the smart appliances.
12. The method of claim 10 , further comprising:
replacing a default gateway of the local network with an internet address associated with the network traffic hub.
13. The method of claim 12 , further comprising: replacing the default gateway using a man-in-the-middle attack.
14. The method of claim 13 , wherein the man-in-the-middle attack comprises one of: ARP spoofing; an ICMP attack; a DHCP attack; and port stealing.
15. The method of claim 10 , wherein the network traffic hub comprises one or more devices within the local network.
16. The method of claim 10 , further comprising:
receiving a security key from a hub administration platform;
connecting to the hub administration platform using the security key; and
transmitting diagnostic information to a third party computer via the connection to the hub administration platform.
17. The method of claim 10 , wherein the network communications include one or more of: source internet addresses, destination internet addresses, packet sizes, packet counts, source MAC addresses, destination MAC addresses, DNS query information, DNS query response data, and bandwidth between a source internet address and a destination internet address.
18. The method of claim 10 , wherein blocking subsequent traffic to and from the identified smart device comprises quarantining network communications associated with the identified smart appliance.
19. A device comprising:
a non-transitory computer-readable storage medium storing executable instructions for:
intercepting, at a network traffic hub within a local network, a set of network communications from one or more smart appliances within the local network;
receiving traffic control instructions from a behavior analysis engine associated with the network traffic hub, the traffic control instructions identifying a smart appliance of the one or more smart appliances and including a numeric confidence value representative of a probability that the smart appliance includes malicious code;
in response to the numeric confidence value being greater than a first threshold, blocking subsequent traffic to and from the identified smart appliance; and
in response to the numeric confidence value being less than the first threshold but greater than a second threshold, adding the identified smart appliance to a security watchlist,
allowing subsequent traffic to and from the identified smart appliance, and providing by redirecting the subsequent traffic to and from the identified smart appliance to a server for analysis for malicious behavior; and
a processor configured to execute the instructions.