Wireless Sensor Network Attacks

False Data Insertion: - An adversary can compromise existing nodes and inject a false message with false information. It is also possible that the adversary add new nodes to the sensor networks that feed false data. Such attack also consumes the energy resources of other sensor nodes.

In this report I will be describing the ways in which networks can be attacked, also be giving real life example of each of the below.

A malicious node can impersonate or spoof the address of another node in order to alter the vision of the network topology as perceived by another node. Such attacks can result in the formation of loops as described below [18]

A group of wireless sensor nodes (devices) dynamically constructs a temporary network without the exercise of any pre-existing network infrastructure or centralized administration. The main goal of ad-hoc networking is multihop broadcasting in which packets are transferred from source node to destination node through the intermediate nodes (hops). The main function of multi hop WSN is to enable communication between two terminal devices through a bit of middle nodes, which are transferring information from one level to another level. On the foundation of network connectivity, it dynamically gets to determine that which nodes should get included in routing, each node involved in routing transmit the data to further

A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.

1. Abstract: Wireless sensor networks is growing rapidly over the few decades. Due to its flexibility, wireless sensor networks has been in practice in many areas. Among various wireless networks, Mobile Ad hoc networks has been one of the unique network. Unlike other network architectures, MANETs have no central architecture; every node is free to work both as a transmitter and receiver. Every single node can communicate freely with every other node which is in their communication range. Otherwise, it depends on neighboring nodes to relay messages. Due to this nature, MANETs are used in many missionary applications like health care, military use and emergency recovery. However the wide distribution of MANETs makes it vulnerable to malicious attacks. Hence it is necessary to design a secure system for MANETs. In this paper we implement a secure system named Enhanced Adaptive Acknowledgement especially for MANETs. To ensure higher security and reduce the network overhead, we use a different approach called hybrid cryptography in our proposed scheme. Enhanced Adaptive Acknowledgment detects higher malicious attackers without greatly disturbing the network performances. We compare the differences within the Enhanced Adaptive Acknowledgment before and after introducing the Hybrid cryptography approach

Abstract— Wireless Sensor Networks (WSN) introduce a new way to interact with the physical environment. The security in WSNs became an attractive area of research. WSNs are susceptible to a wide range of malicious attacks. At present ECC is considered for secure communications, which is having good potential for WSN security due to its smaller key size and its high strength of security. Unfortunately, the execution time of ECC is more which is not suitable for more number of applications. A number of other security mechanisms have been proposed for sensor networks to provide data confidentiality, namely Advanced Encryption Standard (AES) and Data Encryption Standard (DES). In this paper, we propose an algorithm, which is compared and analyzed with the existing ECC and AES to provide better security with authenticated sensor nodes. The authentication is done with a secret code. The proposed algorithm will ensure the secure communication with authenticated devices. The analysis results shows that the scheme works better than the common existent schemes with better utilization of available memory.

Abstract—Wireless Sensor Network (WSN) is basically a wireless network in which sensor nodes are distributed in any environment condition, to collect the data or information such as temperature, pressure, wind, sea level etc. and accordingly data or information will be passed to the main location. Reliable Trust and Reputation of a node stands for the measure of trust over a certain period of time which can be useful to evaluate the risk of attack from that particular node. We have combined all these parameters in order to risk of attack from a particular node.

An attack is any malicious or accidental disruption in the confidentially, integrity, or availability of information and network resources. Attacks can come from many places, electronic, physical, or human. Electronics attacks may come from the external network (Internet) or the internal network (Intranet); physical attacks can come in the form of hardware and equipment sabotage or theft, and human attacks most often come in the form of social engineering. Some of the attacks identify and evaluate in this paper are: spoofing, replays attacks, access attack suppress-relay, and source and repudiation attack.

Abstract: Wireless sensor network (WSN) is built of hosts called sensors which can sense a phenomenon such as motion, temperature, and humidity. Sensors represent what they sense in data format. Providing an efficient end-to-end privacy solution would be a challenging task due to the open nature of the WSN. The key schemes needed for end-to-end location privacy are anonymity, observability, capture likelihood and safety period. On top of that, having temporal privacy is crucial to attain. We extend this work to provide a solution against global adversaries. We present a network model that is protected against passive/active and local/multi-local/global attacks. This work provides a solution for temporal privacy to attain end-to-end anonymity and location privacy.

Providing security in ambient networks is a huge challenge. The main reason is that the traditional security model is not valid anymore. Traditional security assumes that there is a vulnerable channel between communicating parties, where eavesdropping, modification of messages or denial of service attacks can occur. But it also assumes that the sender and receiver operate in some form of secure environment. Hence all models of attacks focus on

Today every wireless device uses frequency based transmissions without using any physical or wired connections. Wireless system mostly consist of the normally used LAN and WAN networks, Personal networks, Wireless computers, smart phones, Tablets. It also consists of devices which have infrared and Bluetooth integrated in them such as wireless mouse and wireless keyboards. With the introduction of these technologies that are operated wirelessly requires a certain level of security as well. Thus these devices are to a level bit vulnerable to many conventional as well as other severe attacks. So wireless security is necessary to prevent all sorts of attacks. Basically Wireless Security is the prevention or restriction of

Abstract— Now a days due to rapid improvements in the wireless and Ad-hoc Network Domain, the development of a special category of wireless ad hoc networks called Mobile Ad-hoc Network (MANET). MANET Communication Security is currently great challenge in presence of different attacks such as DoS, Black Hole attacks, Wormhole Attacks, Sybil Attacks, Timing attacks, etc. In the presence of malicious nodes, preventing or detecting malicious nodes initiation of Gray hole or collaborative black hole attack is a major challenge. This paper introduces a new routing mechanism for MANET communication by using proactive & reactive defense scheme known as Hybrid Defending against Collaborative Black hole Attacks & Gray Hole Attacks. Proposed Scheme is known as CBDS (Co-Operative Bait Detection Scheme) which is based on DSR Based Routing Protocol for Mitigating against Variants of Collaborative Attacks. CBDS is already proposed for MANET but in this paper MANET provides smooth, efficient & secure routing in MANET by using Reverse Tracing Technique. Proposed scheme is more secure and efficient than existing malicious node detection mechanisms..

Abstract — Wireless sensor networks are being widely used in many surveillance applications. Since sensor nodes are a critical part of sensor networks, certain level of protection needs to be provided to them. The self-protection problem focuses on using sensor nodes to provide protection to themselves instead of the target objects or certain target area so that the sensor nodes can resists the attacks targeting to them directly. In this paper we compare paper [1] and paper [2]. The key research question being asked, how

3. Assaults in WSN: Wireless systems are helpless to security assaults because of the show way of the correspondence standard. Besides, remote sensor systems have an additional weakness since hubs are every now and again set in a forceful or risky environment where they are not really sheltered. Assaults on WSNs can be ordered from two distinctive levels of perspectives: Attack against security components. Assault against fundamental components (like steering instruments). The assaults could be arranged on the preparation of the root of the assaults i.e. Inside or External, and on the conduct of the assault i.e. Detached or Active assault. This grouping is critical in light of the fact that the aggressor can misuse the system either as inner, outer or/and also dynamic or latent assault against the system.