Advanced mobile agent security models for code integrity and malicious availability check

Venkatesan, S.; Chellappan, C.; Vengattaraman, T.; Dhavachelvan, P.; Vaish, Anurika

doi:10.1016/j.jnca.2010.03.010

Cited by 26 publications

(14 citation statements)

References 16 publications

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“…Cryptographic protocol generally runs in closed network domain where at least information regarding nature of the network is known (Chen et al, 2010) and the behaviours of the hosts and the agents running on the host can be monitored. Venkatesan et al (2010) proposed an advanced models to improve the efficiency of the existing Malicious Identification Police (MIP) model for scanning the incoming agent to detect the malicious intent and to restrain the attendance of vulnerabilities in the existing Root Canal algorithm for code integrity checks. They extended the MIP model with the policy to uniquely identify the agent owners in the distributed environment.…”

Section: Background and Related Workmentioning

confidence: 99%

Research on Security Protocol for Collaborating Mobile Agents in Network Intrusion Detection Systems

Ogunnusi

Razak²

2013

American Journal of Applied Sciences

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Despite the popularity of mobile agents in academic and commercial arena, the security issues associated with them have hindered their adoption on large scale distributed applications. However, researchers are making relentless effort to overcome the security impediments so that the interesting properties inherent in mobile agent application, especially in the field of intrusion detection, can be harnessed. Such properties include: Adaptability, autonomous nature, low bandwidth utilization, latency eradication, mobility and intelligence. A number of protocols have been developed by researchers for different key distribution techniques to enhance their performance and to protect communicating entities against malicious attacks that can hinder their activities. However, they do not take into account the availability and fault tolerance of the protocols in case of any possible attack despite the authentication methods offered by encryption. This study therefore, proposes a fault-tolerant key distribution protocol for distributed mobile agents (communicating entities) in network intrusion detection system to facilitate hitch-free collaboration geared towards intrusive packets detection in Wireless Local Area Network (WLAN).

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Section: Background and Related Workmentioning

confidence: 99%

Research on Security Protocol for Collaborating Mobile Agents in Network Intrusion Detection Systems

Ogunnusi

Razak²

2013

American Journal of Applied Sciences

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“…Each host c i , where 1 < i ≤ n sends an acknowledgment to guard. A variant of this model is discussed in [17]. …”

Section: Modelmentioning

confidence: 99%

Simulation of Dynamic Mobile Agent Model to Prevent Denial of Service Attack using CPNS

Nupur¹,

Murgai²

2011

IJCA

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Mobile Agents are soft wares migrating from one node to another to fulfill the task of its owner. In Static mobile agents, agent travels on the predefined path whereas in Dynamic mobile agents, agent route is decided by the host or the agent itself, which makes security much more difficult in it. Mobile agents are not properly utilized because of security concerns. Security becomes more challenging in Dynamic mobile agents as compared to Static mobile agent. One such challenge is ‗Denial of Service', in it the malicious host may deny resources required by the agent and kill the agent, thus the result computed so far is lost and this may happen every time the agent visits any malicious host. Colored Petri Nets (CPNs) is a language for the modeling and validation of systems in which concurrency, synchronization and communication play a major role. In our previous paper we have simulated and obtained the results for static mobile agent but in real world agents are dynamic. This paper simulates dynamic mobile agent model that enables the owner of the agent to detect the malicious host. The simulation has been done using CPNs, the result clearly proves that owner can detect the malicious hosts and thus prevent Denial of service attack to occur in future KeywordsDynamic mobile agent; denial of service attack; colored petrinets; independent and dependent mobile agent..

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“…Each host c i , where 1 < i ≤ n sends an acknowledgment to guard. A variant of this model is discussed in [14]. …”

Section: Guard Algorithmmentioning

confidence: 99%

Protecting Dynamic Mobile Agent against Denial of Service Attacks

Nipur¹,

Pallavi²,

Patel³

et al. 2010

AIP Conference Proceedings

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Abstract-Mobile Agents are softwares migrating from one node to another to fulfill the task of its owner. The introduction of mobile agents has reduced network latency, network traffic a lot but at the same time it has increased the vulnerability for attacks by malicious hosts. One such attack is 'Denial of Service', once the agent is launched it is free to roam without any control of its owner, this on one hand decreases the cost of agent -owner interaction and on the other hand increases the chances of 'Denial Of Service'. In Denial Of Service attack the malicious host may deny resources required by the agent and kill the agent, thus the result computed so far is lost and this may happen every time the agent visits any malicious host. In this paper we continued the work done in [10] in which the authors proposed techniques by which owner can detect the malicious host for 'Denial Of Service' but they did not covered technique for dynamic routes i.e. where the host or agent initiate migrations to hosts which were not contained in the route composed by the owner. We introduced an algorithm and a model which can be useful for the above purpose.

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Advanced mobile agent security models for code integrity and malicious availability check

Cited by 26 publications

References 16 publications

Research on Security Protocol for Collaborating Mobile Agents in Network Intrusion Detection Systems

Research on Security Protocol for Collaborating Mobile Agents in Network Intrusion Detection Systems

Simulation of Dynamic Mobile Agent Model to Prevent Denial of Service Attack using CPNS

Protecting Dynamic Mobile Agent against Denial of Service Attacks

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