TY - GEN
T1 - A ZigBee honeypot to assess IoT cyberattack behaviour
AU - Dowling, Seamus
AU - Schukat, Michael
AU - Melvin, Hugh
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/18
Y1 - 2017/7/18
N2 - Wireless Personal Area Networks (WPAN) allow for the implementation of applications such as home automation, remote control services, near-field technologies and personal health care management. Security is a critical requirement of the standards and protocols for these environments. One suite of layered protocols within WPAN is ZigBee. ZigBee is a low bit rate protocol utilised in Wireless Sensor Networks (WSN). Attacks such as physical, crypto key interception, injection and replay are perpetrated on ZigBee networks. These attacks can be instigated and controlled within the physical ZigBee WSN location or via a gateway. This paper creates a honeypot that simulates a ZigBee gateway. It is designed to assess the presence of ZigBee attack intelligence on a SSH attack vector. It captures all attack traffic for retrospective analysis. It sandboxes attacks of interest to determine if any attempts are targeting ZigBee specifically. Finally it concludes that all captured mass attacks are mainstream DDoS and bot malware, whereas individual attackers where attracted to and interacted with the ZigBee simulated Honeypot.
AB - Wireless Personal Area Networks (WPAN) allow for the implementation of applications such as home automation, remote control services, near-field technologies and personal health care management. Security is a critical requirement of the standards and protocols for these environments. One suite of layered protocols within WPAN is ZigBee. ZigBee is a low bit rate protocol utilised in Wireless Sensor Networks (WSN). Attacks such as physical, crypto key interception, injection and replay are perpetrated on ZigBee networks. These attacks can be instigated and controlled within the physical ZigBee WSN location or via a gateway. This paper creates a honeypot that simulates a ZigBee gateway. It is designed to assess the presence of ZigBee attack intelligence on a SSH attack vector. It captures all attack traffic for retrospective analysis. It sandboxes attacks of interest to determine if any attempts are targeting ZigBee specifically. Finally it concludes that all captured mass attacks are mainstream DDoS and bot malware, whereas individual attackers where attracted to and interacted with the ZigBee simulated Honeypot.
KW - botnet
KW - honeypot
KW - IoT
KW - SSH
KW - ZigBee
UR - https://www.scopus.com/pages/publications/85027862740
U2 - 10.1109/ISSC.2017.7983603
DO - 10.1109/ISSC.2017.7983603
M3 - Conference contribution
AN - SCOPUS:85027862740
T3 - 2017 28th Irish Signals and Systems Conference, ISSC 2017
BT - 2017 28th Irish Signals and Systems Conference, ISSC 2017
PB - IEEE
T2 - 28th Irish Signals and Systems Conference, ISSC 2017
Y2 - 20 June 2017 through 21 June 2017
ER -