Intrusion Detection: A Probability Model for 3D Heterogeneous WSN

Abstract

WSN in three dimensional space is common in different application areas such as space monitoring, cave monitoring under water eco system and so on. Intrusion is a common type of attack in such types of networks. In this paper, we analyze the intrusion detection probability which helps in deploying the sensors in efficient manner. Even though the sensors are throw away in nature, still the cost matters. And the intelligent deployment helps in reducing the redundancy in communication. Therefore this model can be beneficial in case of three dimensional WSN.Here we deal with heterogeneous WSN as such types of WSN are common in different applications. For the case of simplicity, in our analysis, we consider only two types of sensors named as Type 1 and Type 2. This model can be extended to any number of types. This paper is an extension of our previous work where intrusion detection on homogeneous networks was discussed. General TermsWireless sensor networks, security, internal and external intrusion detection. KeywordsIntrusion detection, node density, sensing range, Wireless Sensor Network (WSN). INTRODUCTIONA wireless sensor network (WSN) is a type of wireless network consist of small nodes with capabilities of sensing physical or environmental conditions, processing related data and send information wirelessly.WSN is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance [1]. However, wireless sensor networks are now used in many industrial and civilian application areas, including industrial process monitoring and control, machine health monitoring, environment and habitat monitoring, healthcare applications, home automation and traffic control.The sensor nodes in WSNs are usually static after deployment, and communicate mainly through broadcast instead of point-topoint communication. Sensors are deployed in a variety of domains and some application should be secure from all types of attacks. A lot of security protocols or mechanisms have been designed for sensor networks. For example, SPINS (Sensor Protocol for Information via Negotiation), a set of protocols, provides secure data confidentiality, two-party data authentication, and data freshness and authenticated broadcast for sensor network [2]. LEAP (Localized Encryption and Authentication Protocol), is designed to support in-network processing bases on the different security requirements for different types of messages exchange [3]. INSENS is an intrusion tolerant routing protocol for wireless sensor networks [4]. In general, security solutions in the network can be divided into two categories: prevention and detection. Prevention techniques, such as encryption, authentication, firewalls, in WSNs, physical links may always be invaded, th...

Energy efficient intrusion detection in three dimensional wireless sensor networks

“…Mohamed Mubarak.T [12] have explored the probability of Intrusion detection in a 3D WSN.This probability gives an insight in to the required number of sensors in a given deployment.…”

Scaling of wireless sensor network intrusion detection probability: 3D sensors, 3D intruders, and 3D environments

“…Furthermore, it should test each probability distribution independently on the WSN area before proposing a mixture of them. The last one proposed an analysis for intrusion detection problem in a 3D environment that is represented by a cube with two types of sensors [31]. This technique has some drawbacks such as the probability density function is not calculated and a cube is not sufficient to prove the model results.…”