Deception technology companions with IOT-a platform of connected world and bluff
Annotatsiya
Internet of Things (IoT) networks securityis one of the most crucial issue what informationtechnology (IT) community faces. As IoT ecosystem continues to accelerate, so do the cyber security threats associated with connected devices. Any IOT device compromised becomes a backdoor into the organization network. IOT devices are new exploitable agents due to its weaknesses such as less secured firmware, missing with high-grade authentication. Hence, intruders can take advantage of weaker level of security and management of the devices is much labour intensive and are considered as soft targets. Deception which is an amalgamation of analytics and Machine Learning can act as a silver harpoon and adds extra layer of security of IOT device where deception platform is introduced into set of devices deceiving attackers into thinking they are authentic. This paper describes the limitations of Internet of Things End Points and how Deception Technology can be used to create a layer of confusion against intruder. We have done experiments on raw logs to interpret IOT and NON-IOT devices, Type of IOT device, device anomalous behaviour and what type of anomaly device is facing by using multiple machine learning algorithms and predicting possible attacks by performing effective feature selection and classification. Our results showed comparison statistics of multiple models based on various metrics and derive deceptive strategy the defender adopt to keep attackers success rate low.