ICSNC 1: Mobility and Ad Hoc

Page 1. Page 2. ICSNC 1: Mobility and Ad Hoc Energy Aware Topology Management in Ad Hoc Wireless Networks T. Shiv Prakash, GS Badrinath, KR Venugopal and LM Patnaik T Hybrid Agents for Power-Aware Intrusion Detection in Highly Mobile Ad Hoc Networks T. Srinivasan, V. Mahadevan, A. Meyyappan, A. Manikandan, M. Nivedita and N. Pavithra T An Enhanced Gnutella for Ad-Hoc Networks Hyun-Duk Choi, Ho-Hyun Park and Miae Woo T A New EAAODV Routing Protocol Based on Mobile Agent Chenchen Zhao and Zhen Yang T The Case of Multi-Hop Peer-to-Peer Implementation of Mobile Social Applications Panayotis Antoniadis and Costas Courcoubetis T Mobile Agent Communication Scheme: An Evolving Canvas Mâamoun Bernich and Fabrice Mourlin T Page 3. ICSNC 2: High Speed Building High-Performance and Reconfigurable Bandwidth Controllers with Adaptive Clustering

Hierarchical Design Based Intrusion Detection System For Wireless Ad hoc Network

In recent years, wireless ad hoc sensor network becomes popular both in civil and military jobs. However, security is one of the significant challenges for sensor network because of their deployment in open and unprotected environment. As cryptographic mechanism is not enough to protect sensor network from external attacks, intrusion detection system needs to be introduced. Though intrusion prevention mechanism is one of the major and efficient methods against attacks, but there might be some attacks for which prevention method is not known. Besides preventing the system from some known attacks, intrusion detection system gather necessary information related to attack technique and help in the development of intrusion prevention system. In addition to reviewing the present attacks available in wireless sensor network this paper examines the current efforts to intrusion detection system against wireless sensor network. In this paper we propose a hierarchical architectural design based intrusion detection system that fits the current demands and restrictions of wireless ad hoc sensor network. In this proposed intrusion detection system architecture we followed clustering mechanism to build a four level hierarchical network which enhances network scalability to large geographical area and use both anomaly and misuse detection techniques for intrusion detection. We introduce policy based detection mechanism as well as intrusion response together with GSM cell concept for intrusion detection architecture.Comment: 16 pages, International Journal of Network Security & Its Applications (IJNSA), Vol.2, No.3, July 2010. arXiv admin note: text overlap with arXiv:1111.1933 by other author

A Survey of Security Challenges and Issues in Manet

Nodes intriguing element in Mobile Ad-hoc Networks (MANET) are predictable to hold to the rules stated by the routing protocol utilized in the network. Safe routing protocols endeavor to decrease the ill-effect of nodes under the control of malicious entities who intentionally violate the protocol.. There are so many generic tools which are universal for individual as well as organizations for customers to offer protection which comprises Antivirus, Ant spam, etc., and network securities have turn into important issue in MANET. Security is one of the major issues in the MANET particularly w.r.t. complexity and size of the network. The main focus of this survey is to discuss & represent special characteristics of security in MANET and also apply several of the solutions security threats within MANET network similar to intruder activities, tapping and integrity, MANET link layer and network layer operations w.r.t. information security etc) w.r.t. MANET network. This Survey paper also discusses different number of security scenarios of MANET, Attacks in MANET and IDS in MANET. Keywords: AODV, MANET, Network Security, IDS, Attack

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Wireless sensor networks monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. To adapt to such conditions, sensor networks often adopt machine learning techniques to eliminate the need for unnecessary redesign. Machine learning also inspires many practical solutions that maximize resource utilization and prolong the lifespan of the network. In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs). The advantages and disadvantages of each proposed algorithm are evaluated against the corresponding problem. We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.Comment: Accepted for publication in IEEE Communications Surveys and Tutorial

Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey

Wireless sensor networks (WSNs) consist of autonomous and resource-limited devices. The devices cooperate to monitor one or more physical phenomena within an area of interest. WSNs operate as stochastic systems because of randomness in the monitored environments. For long service time and low maintenance cost, WSNs require adaptive and robust methods to address data exchange, topology formulation, resource and power optimization, sensing coverage and object detection, and security challenges. In these problems, sensor nodes are to make optimized decisions from a set of accessible strategies to achieve design goals. This survey reviews numerous applications of the Markov decision process (MDP) framework, a powerful decision-making tool to develop adaptive algorithms and protocols for WSNs. Furthermore, various solution methods are discussed and compared to serve as a guide for using MDPs in WSNs

Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET

The area of Mobile Adhoc Network (MANET) has being a demanded topic of research for more than a decade because of its attractive communication features associated with various issues. This paper primarily discusses on the security issues, which has been still unsolved after abundant research work. The paper basically stresses on the potential features of Swarm Intelligence (SI) and its associated techniques to mitigate the security issues. Majority of the previous researches based on SI has used Ant Colony Optimization (ACO) or Particle Swarm Optimization (PSO) extensively. Elaborated discussion on SI with respect to trust management, authentication, and attack models are made with support of some of the recent studies done in same area. The paper finally concludes by discussing the open issues and problem identification of the review