The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …

Intrusion detection is one of the important security problems in todays cyber world. A
significant number of techniques have been developed which are based on machine …

This survey paper describes a focused literature survey of machine learning (ML) and data
mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial …

Purpose The purpose of this study is to empirically analyse the key factors that influence the
adoption of financial technology innovation in the country Germany. The advancement of …

This paper presents machine learning and metaheuristic algorithms based hybrid intelligent
Intrusion Detection System (HIIDS) for Internet of Things based applications such as …

Wireless Sensor Networking is one of the most promising technologies that have
applications ranging from health care to tactical military. Although Wireless Sensor Networks …

Vehicular networking has become a significant research area due to its specific features and
applications such as standardization, efficient traffic management, road safety and …

Vehicular networking has significant potential to enable diverse applications associated with
traffic safety, traffic efficiency and infotainment. In this survey and tutorial paper we introduce …

The development of intrusion detection systems (IDS) that are adapted to allow routers and
network defence systems to detect malicious network traffic disguised as network protocols …