A Game Theoretic Approach to Modelling Jamming Attacks in Delay Tolerant Networks

Ravishankar, Monica; Rao, Dushyant; Kumar, Suthikshn

doi:10.14429/dsj.67.10051

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…The wargaming process comprises of the identification, defence, response, and recovery phases to a cyberattack in depth. Cyberwargames that use game Theory to model the attackers and defenders are designed by setting up a cyber test-bed to exercise cyberattack scenarios on a network environment [78][79][80] . In the game theoretic framework, two approaches have been used: a probabilistic framework and a bayesian belief framework where the attack and defender try to anticipate the opponent's strategy with complete and incomplete information with learning.…”

Section: Discussionmentioning

confidence: 99%

A Survey of Adversarial Machine Learning in Cyber Warfare

Duddu¹

2018

Def. Sc. Jl.

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The changing nature of warfare has seen a paradigm shift from the conventional to asymmetric, contactless warfare such as information and cyber warfare. Excessive dependence on information and communication technologies, cloud infrastructures, big data analytics, data-mining and automation in decision making poses grave threats to business and economy in adversarial environments. Adversarial machine learning is a fast growing area of research which studies the design of Machine Learning algorithms that are robust in adversarial environments. This paper presents a comprehensive survey of this emerging area and the various techniques of adversary modelling. We explore the threat models for Machine Learning systems and describe the various techniques to attack and defend them. We present privacy issues in these models and describe a cyber-warfare test-bed to test the effectiveness of the various attack-defence strategies and conclude with some open problems in this area of research.

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Section: Discussionmentioning

confidence: 99%

A Survey of Adversarial Machine Learning in Cyber Warfare

Duddu¹

2018

Def. Sc. Jl.

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“…При оптимізації (змішаному цілочисельному програмуванні, дворівневому програмуванні, багатокритеріальній оптимізації, евристичній оптимізації тощо) використовується моделювання для генерування сценаріїв [70−72], верифікації параметрів задачі чи валідації результатів [42, 44, 54, 67, 73−78]. Моделювання частіше використовується у теорії ігор [42,44,70,74,75,79,80].…”

Section: оптимізація критичних інфраструктурunclassified

Теоретико-Ігрові Та Оптимізаційні Моделі І Методи Підвищення Безпеки Кіберінфраструктур

Горбачук¹,

Golotsukov²,

Dunaievskyi³

et al. 2022

ПКІ

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Critical infrastructure of interdependent modern sectors is increasingly relying on cyber systems and cyber infrastructures, which are characterized by growing risks of their cyber components, including cyberphysical subsystems. Therefore, cybersecurity is important for the protection of critical infrastructure. The search for cost-effective ways to increase or improve the security of cyber infrastructure is based on optimization models and methods of cyber infrastructure stability, safety, and reliability. These models and methods have different fields of application and different directions, not necessarily focused on the cyber infrastructure resilience. The growing role of information and communication technologies has influenced the concept of security and the nature of war. Many critical infrastructures (airports, hospitals, oil pipelines) have become potentially vulnerable to organized cyber attacks. Today, the implementation of the major state function of defense and security largely depends on the successful use of information and communication technologies as modern competitive (final and intermediate) dual-use products used by different people for different purposes. Game theory is increasingly used to assess strategic interactions between attackers and defenders in cyberspace. Game research and modeling combinations are combined to study the security of cyberspace. In cyberspace, the arsenal of weapons is built by finding more vulnerabilities in the defense of the target. Vulnerability is a weakness in the security procedures of the system, the design of the system or its implementation, as well as in the organization of internal control, which may be used by the source of the threat. The dynamic nature of vulnerabilities means that they are constantly changing over time. Detecting a vulnerability by a defender reduces the effectiveness of the attacker’s cyber weapon, which exploits the vulnerability, and increases the target protection. Game theory has been applied to many issues, including resource allocation, network security, and human cooperation. In cyberspace, there is often a placement game where the attacker and the defender decide where to allocate their respective resources. Defender’s resources can be security infrastructure (firewalls), finance, training. For example, a network administrator might look for a resource allocation that minimizes the risk of (cyber) attacks and at the same time protects against cyberattacks. The attacker has limited resources and is at risk of being tracked down and punished. The problem of resource allocation in cyberspace can be formulated as a game-theoretic problem, taking into account the concept of common knowledge and the problem of uncertain observability.

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“…Both of these nodes have limited resources and are given appropriate incentives to choose one of several strategies. Previously, game theory has been used to solve a number of problems occurring in Delay tolerant networks and Opportunistic Networks …”

Section: Related Workmentioning

confidence: 99%

A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks

Chhabra

Vashishth

Sharma

2017

Int J Communication

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Opportunistic networks (OppNets) are networks that can be used in situations of sparse network connectivity. Strategies for implementing secure transmission of messages in OppNets offer complex and distinctive problems that are wholly different from traditional networks using TCP/IP protocols for data transmission. In this paper, a security protocol named FuzzyPT is proposed which combats black hole attacks in OppNets. The defense mechanism is based on the information extracted from messages in the buffer, potential threat (PT) messages, and fuzzy logic. Fuzziness aids the system in being adaptive by modeling the character of nodes as either benign or malicious. It provides the network with the ability to judge the character of nodes based on relationships between different parameters instead of basing this decision on fixed conditions. FuzzyPT is observed to reduce erroneous decision-making and decrease the number of false positives and false negatives in the system. An evolutionary game theoretic model is applied, which analyzes the decision-making ability of relays in choosing varied strategies while forwarding messages. The evolutionary stable state is computed for the protocol, which verifies the proposition that a majority of the relays will cooperate by forwarding messages. The efficiency of the protocol is judged on various grounds such as delivery probability, network overhead ratio, packets dropped, and transmission latency. It is observed that the proposed game theoretic protocol outperforms an existing acknowledge and evolutionary game theory-based security protocol in terms of all the aforementioned performance characteristics. KEYWORDS ACK, delay tolerant networks, evolutionary game theory, fuzzy logic, opportunistic networks, potential threat mechanism, the opportunistic network environment (ONE) simulator

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A Game Theoretic Approach to Modelling Jamming Attacks in Delay Tolerant Networks

Cited by 5 publications

References 13 publications

A Survey of Adversarial Machine Learning in Cyber Warfare

A Survey of Adversarial Machine Learning in Cyber Warfare

Теоретико-Ігрові Та Оптимізаційні Моделі І Методи Підвищення Безпеки Кіберінфраструктур

A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks

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