Masters Thesis
Permanent URI for this collectionhttps://studentrepo.iium.edu.my/handle/123456789/552
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Browsing Masters Thesis by Subject "Ad hoc networks (Computer networks)"
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Publication Evaluating the effect of routing protocol, packet size and DSSS rate on network performance indicators in Manet`s(Kuala Lumpur : International Islamic University Malaysia, 2015, 2015) ;Hakak, Saqib IqbalMobile Adhoc Network (MANET) is mostly used for emergency purposes as it requires neither infrastructure nor any centralized support. There are many issues in implementing MANETs. One of the key issues is dynamic nature of nodes that makes routing a difficult task. Many studies have focused on comparing routing protocols under varying network conditions. Following these studies, a question emerges, how much effect, quantified in percentage, routing protocols have on MANETs along with other factors that relate. Knowing the effect of packet size, direct sequence spread spectrum (DSSS rate) for example, helps network researchers and engineers in deploying IEEE 802.11b based MANET more efficiently. For this purpose, simulation has been performed under varying constant bit rate (CBR) data traffic load. Results have been evaluated using factorial design technique in order to quantify each parameter's contribution to the overall performance of the network. It shows that packet size of 256 and 512 bytes together has effect of 38% on average end to end delay and 42% on average jitter. On the other hand, routing mechanism influences the average delay and average jitter by 37% and 28% respectively. However, DSSS has an impact of 68.5% on overall throughput. - Some of the metrics are blocked by yourconsent settings
Publication Game theoretic approach to model node misbehaviour in MANETS(Kuala Lumpur: International Islamic University Malaysia, 2014, 2014) ;Khan, Burhan Ul IslamThe security problems in Mobile Adhoc Networks (MANETs) are being constant topic of interest and drawn attention of research community from past decade, where massive study has already been presented for addressing the same. One of the precarious problems encountered in MANET is that of identifying the malicious nodes. The identification and later mitigation of the same becomes immensely difficult task especially when Selfish / Erroneous nodes exist along with normal Collaborative nodes in the Regular camp. The presence of selfish nodes is potentially harmful as similar behaviour can be imitated by malicious nodes which are the point of concern of many security aspects. While performing the preliminary study of the proposed system, it was known that large amount of previous study has emphasized on usage of cryptographic protocols to secure MANET, where implementation becomes a big question mark and challenges time and space complexity of those sophisticated algorithm. While reviewing some more techniques on security system in MANET, it was found that game theory has also prime contribution in past few years due to potential accuracy in its probabilistic approach and computational efficiency. Therefore, the proposed system accentuates the use of game theory and probability theory considering selfish nodes in the regular node camp while modeling the Regular versus Malicious node game and thereby enhancing the prior mathematical schema of strategical decision making to accommodate for the same. The study performs statistical analysis and presents a mathematical model to mimic the multi-stage game between regular and malicious node using Game Theory. The framework effectively represent the various unpredictable actions of node cooperation, node declination, node attacks , as well as node reporting that can model the strategic profiling of various mobile nodes. Understanding the patterns and then deploying the algorithms in security products can reduce intrusion to a greater extend. The simulation has been conducted in Matlab for monitoring the trends of pure strategy, mixed strategy, and PBE strategy adoption to visualize the behavioral pattern of mobile nodes. The outcome of the study shows significant enhancement in reporting actions of regular node thus considerable reduce down vulnerability scenario in MANET. The study lays emphasis on Perfect Bayesian Equilibrium (PBE) strategy which forms as the basis of all the result analysis. The enhancement was found in terms of 62.67 % lesser false positives which favors higher overall network utility (modeled as utility of regular nodes in the game) with Selfish / Erroneous nodes existing in the network when collating the proposed schema with prior work.