Security Threats and Solutions in Mobile Ad Hoc Networks; A Review

Ichaba, Mutuma

doi:10.13189/ujcn.2018.060201

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…For edge computing, various studies on security of several edge computing archetypes have been reported, e.g. fog computing [6][7][8][9][10], mobile edge computing [10][11][12], mobile cloud computing [13][14][15], and mobile ad-hoc cloud computing [16][17][18]. These preliminary analyses examine security threats that influence the integrity of these edge computing archetypes, together with an overview of the security procedures of defending all functions and infrastructures.…”

Section: B Related Workmentioning

confidence: 99%

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

2020

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Section: B Related Workmentioning

confidence: 99%

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

2020

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“…Regarding the availability attack (e.g., Denial of Service (DoS)), the adversaries attempt to exhaust the bandwidth resources by disturbing or jamming the communications [122]. Attacks targeting the communication integrity try to inject false information, change the order of messages, or replay the old messages [123]. Consequently, it is essential to provide a reliable security framework for VNs to deter these cyber attacks.…”

Section: B Game Theory For Security Protection In Vnsmentioning

confidence: 99%

Game Theoretic Approaches in Vehicular Networks: A Survey

Sun,

Liu,

Wang

et al. 2020

Preprint

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In the era of the Internet of Things (IoT), vehicles and other intelligent components in Intelligent Transportation System (ITS) are connected, forming the Vehicular Networks (VNs) that provide efficient and secure traffic, ubiquitous access to information, and various applications. However, as the number of connected nodes keeps increasing, it is challenging to satisfy various and large amounts of service requests with different Quality of Service (QoS ) and security requirements in the highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources so that either an individual or a group objectives can be achieved. Game theory, a theoretical framework designed for strategic interactions among rational decision-makers who faced with scarce resources, can be used to model and analyze individual or group behaviors of communication entities in VNs. This paper primarily surveys the recent advantages of GT used in solving various challenges in VNs. As VNs and GT have been extensively investigate34d, this survey starts with a brief introduction of the basic concept and classification of GT used in VNs. Then, a comprehensive review of applications of GT in VNs is presented, which primarily covers the aspects of QoS and security. Moreover, with the development of fifth-generation (5G) wireless communication, recent contributions of GT to diverse emerging technologies of 5G integrated into VNs are surveyed in this paper. Finally, several key research challenges and possible solutions for applying GT in VNs are outlined.

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Fuzzy based inference system with ensemble classification based intrusion detection system in MANET

Arthi¹,

Beno²,

Sharma³

et al. 2023

IFS

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Mobile ad hoc networks (MANET) have become one of the hottest research areas in computer science, including in military and civilian applications. Such applications have formed a variety of security threats, particularly in unattended environments. An Intrusion detection system (IDS) must be in place to ensure the security and reliability of MANET services. These IDS must be compatible with the characteristics of MANETs and competent in discovering the biggest number of potential security threats. In this work, a specialized dataset for MANET is implemented to identify and classify three types of Denial of Service (DoS) attacks: Blackhole, Grayhole and Flooding Attack. This work utilized a cluster-based routing algorithm (CBRA) in MANET.A simulation to gather data, then processed to create eight attributes for creating a specialized dataset using Java. Mamdani fuzzy-based inference system (MFIS) is used to create dataset labelling. Furthermore, an ensemble classification technique is trained on the dataset to discover and classify three types of attacks. The proposed ensemble classification has six base classifiers, namely, C4.5, Fuzzy Unordered Rule Induction Algorithm (FURIA), Multilayer Perceptron (MLP), Multinomial Logistic Regression (MLR), Naive Bayes (NB) and Support Vector Machine (SVM). The experimental results demonstrate that MFIS with the Ensemble classification technique enables an enhancing security in MANET’s by modeling the interactions among a malicious node with number of legitimate nodes. This is suitable for future works on multilayer security problem in MANET.

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Security Threats and Solutions in Mobile Ad Hoc Networks; A Review

Cited by 3 publications

References 18 publications

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Edge Computing and Its Convergence With Blockchain in 5G and Beyond: Security, Challenges, and Opportunities

Game Theoretic Approaches in Vehicular Networks: A Survey

Fuzzy based inference system with ensemble classification based intrusion detection system in MANET

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