Research
Comparison of Packet Delivery for black hole attack in ad hoc network
Black hole attack is a serious threat in a mobile ad hoc network (MANET). In this attack, a malicious node injects a faked Route Reply message to deceive the source node so that the source node establishes a route to the malicious node and sends all the data packets to the malicious node. The black hole attack can degreed the performance of different routing protocols. During this attack, a malicious node captures packets and not forwards them in the network. This paper illustrates how black hole attack can affect the performance of Mobile Ad hoc networks by using NS-2.34 simulator.
Performance Evaluation of AODV based on black hole attack in ad hoc network
A Mobile Ad hoc Network (MANET) is a new networking paradigm. In the development of Mobile Ad hoc networks routing is the main issue. There are different security flaws and attacks on routing protocols in MANETs. These attacks can affect the performance of different routing protocols. Blackhole is one of these attacks. The blackhole attack can affect the performance of different routing protocols. During this attack, a malicious node captures packets and not forwards them in the network. This paper illustrates how blackhole attack can affect the performance of routing protocol, AODV, in Mobile Ad hoc networks by using NS-2.34 simulator.
Location Privacy in Mobile Ad hoc Network Measuring V2X location Based Communication systems with accumulated information
Wireless Mobile Ad Hoc Networks are particularly vulnerable due to their fundamental characteristics such as an open medium, dynamic topology, distributed cooperation, Vehicle - to - vehicle / vehicle - to - infrastructure (V2X) communication systems are envisioned to greatly improve road safety, traffic efficiency, and driver convenience. However, many V2X applications rely on continuous and detailed location information, which raises location privacy concerns. A multitude of privacy protection mechanisms have been proposed in recent years. However, few efforts have been made to develop privacy metrics, which can provide a rigorous way to assess the privacy risk, evaluate the effectiveness of a given mechanism, and exploit the full possibilities of protection methods in V2X systems. Therefore, in this paper we present a trip-based location privacy metric for measuring user location privacy in V2X systems. The most distinguishable aspect of the metric is to take into account the accumulated information, which is the privacyrelated information acquired by an adversary for an extended period of time, e.g., days or weeks.
