A grammatical evolution approach to intrusion detection on mobile ad hoc networks

Şen, Sevil; Clark, John A.

doi:10.1145/1514274.1514289

Cited by 21 publications

(9 citation statements)

References 12 publications

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“…GE-based Intrusion Detection Systems With success of GP in generating programs capable of recognizing malicious activities in MANETs, GE, potentially more universal and adjustable than GP, has also found its applicability in IDS implementations. In a GE-based approach [29], a BNF considers mobility and packet-related features to discover dropping, flooding, and route disruption attacks with a fitness function based on the number of correctly detected attacks and false positives. A medium mobility MANET is used as a training environment.…”

Section: Grammatical Evolutionmentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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In this paper, a comprehensive survey of evolutionary computation (EC) methods for cybersecurity of mobile ad hoc networks (MANETs) is presented. Typically, EC methods are named based on the natural processes inspiring them, such as swarm intelligence (e.g., ant colony optimization, artificial bee colony, and particle swarm optimization), evolutionary algorithms (e.g., genetic algorithms, genetic programming, grammatical evolution, and differential evolution), artificial immune systems, and evolutionary games analyzing strategic interactions among different population types. We introduce these methods with their typical applications, and commonly used algorithms to improve cybersecurity within the scope of MANETs. Ongoing and speedy topology changes, multi-hop communication, nonhierarchical organization, and power and computational limitations are among the intrinsic characteristics of MANETs causing cybersecurity vulnerabilities. We describe basic defense mechanisms in MANETs for vulnerability detection, attack deterrence, prevention and recovery, and risk mitigation. We classify principal applications of EC as intrusion detection, trust management, and cryptography in cybersecurity systems to countermeasure adversarial activities.This research is supported by D01 W911SR-14-2-0001-0014. The contents of this document represent the views of the authors and are not necessarily the official views of, or endorsed by, the US Government, Department of Defense, Department of the Army or US Army Communications-Electronic RD&E Center. Dr. Cem Safak Sahin is currently an MIT Lincoln Laboratory employee; no Laboratory funding or resources were used to produce the result/findings reported in this publication.

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Section: Grammatical Evolutionmentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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“…Our system has considered particularly on sleep deprivation attack based features. Table 1 show the list of selected features that are observed from each node in MANETs in respect of AODV routing protocol and data are collected periodically by each node based on the selected features [7]. The unusual decrements in the battery power that is used up by each node may be signals of sleep deprivation attack.…”

Section: Selection Of Features and Datasetmentioning

confidence: 99%

“…Moreover, we will present the consequence of µ based on the performance metrics i.e. true positive rate and false positive rate [7].…”

Section: Simulation Of Manets With Sleep Deprivationmentioning

confidence: 99%

A Cooperative Intrusion Detection System for Sleep Deprivation Attack Using Neuro-Fuzzy Classifier in Mobile Ad Hoc Networks

Chaudhary

Tiwari

Kumar

2014

Computational Intelligence in Data Mining - Volume 2

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This paper proposed a soft computing based solution for a very popular attack, i.e. sleep deprivation attack in mobile ad hoc networks (MANETs). As a soft computing solution, neuro-fuzzy classifier is used in binary form to detect the normal and abnormal activities in MANETs. The proposed detection scheme is based on distributed and cooperative architecture of intrusion detection system and simulations have been carried out through Qualnet simulator and MATLAB toolbox that shows the results of proposed solution in respect of performance metrics very effectively.

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“…This process can be used to construct programs to the provided language described by the BNF grammar. This method has been used in many cases, such as function regression problems [7,8], credit classification [9], intrusion detection in computer networks [10], monitoring of water quality [11], mathematical problems [12], composition of music [13], the construction of neural networks [14,15], producing numeric constants [16], computer games [17,18], estimation of energy consumption [19], combinatorial optimization [20], cryptography [21], the production of decision trees [22], automatic circuit design [23], etc.…”

Section: Introductionmentioning

confidence: 99%

“…x = [9, 8,6,4,16,10,17,23,8,14] with N = 3. The constant N denotes the number of initial features in the used dataset.…”

mentioning

confidence: 99%

Applying Bounding Techniques on Grammatical Evolution

Tsoulos,

Tzallas,

Karvounis

2024

Computers

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The Grammatical Evolution technique has been successfully applied to some datasets from various scientific fields. However, in Grammatical Evolution, the chromosomes can be initialized at wide value intervals, which can lead to a decrease in the efficiency of the underlying technique. In this paper, a technique for discovering appropriate intervals for the initialization of chromosomes is proposed using partition rules guided by a genetic algorithm. This method has been applied to feature construction techniques used in a variety of scientific papers. After successfully finding a promising interval, the feature construction technique is applied and the chromosomes are initialized within that interval. This technique was applied to a number of known problems in the relevant literature, and the results are extremely promising.

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A grammatical evolution approach to intrusion detection on mobile ad hoc networks

Cited by 21 publications

References 12 publications

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

A Cooperative Intrusion Detection System for Sleep Deprivation Attack Using Neuro-Fuzzy Classifier in Mobile Ad Hoc Networks

Applying Bounding Techniques on Grammatical Evolution

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