Preventing Resource Exhaustion Attacks in Ad Hoc Networks

Tanabe, Mitsuaki; Aida, Masaki

doi:10.1109/isads.2007.59

Cited by 3 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these attacks, resource exhaustion attacks are the most difficult to prevent and their effects are severe, and therefore we proposed a number of countermeasures against resource exhaustion attacks in mobile ad hoc networks [7]. These countermeasures can also defend against denial of service attacks.…”

Section: Figure 1 An Example Of Mobile Ad Hoc Network and An Attack T...mentioning

confidence: 99%

“…As we studied before [7], in the case with no prevention method, all terminals consume their batteries at the same rate as transmitting beacon signals frequently. However, in the case of using the proposed secure communication method, even members that receive packets from the attacker directly consume their batteries only a little earlier than the others and the others' batteries do not suffer the attack effect.…”

Section: Evaluation In the Point Of Secure Communicationmentioning

confidence: 99%

See 1 more Smart Citation

Secure Communication Method in Mobile Wireless Networks

Tanabe¹,

Aida²

2008

Proceedings of the 1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Figure 1 An Example Of Mobile Ad Hoc Network and An Attack T...mentioning

confidence: 99%

Section: Evaluation In the Point Of Secure Communicationmentioning

confidence: 99%

Secure Communication Method in Mobile Wireless Networks

Tanabe¹,

Aida²

2008

Proceedings of the 1st International ICST Conference on Mobile Wireless Middleware, Operating Systems and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Resource exhaustion attacks: Such attacks aim to increase the use of UAV resources. Although UAV functionality may not be violated, power consumption increases [10].…”

mentioning

confidence: 99%

A Data Normalization Technique for Detecting Cyber Attacks on UAVs

Basan

Nekrasov

et al. 2022

Drones

View full text Add to dashboard Cite

The data analysis subsystem of an Unmanned Aerial Vehicle (UAV) includes two main modules: a data acquisition module for data processing and a normalization module. One of the main features of an adaptive UAV protection system is the analysis of its cyber-physical parameters. An attack on a general-purpose computer system mainly affects the integrity, confidentiality and availability of important information. By contrast, an attack on a Cyber-Physical System (CPS), such as a UAV, affects the functionality of the system and may disrupt its operation, ultimately preventing it from fulfilling its tasks correctly. Cyber-physical parameters are the internal parameters of a system node, including the states of its computing resources, data storage, actuators and sensor system. Here, we develop a data normalization technique that additionally allows us to identify the signs of a cyber-attack. In addition, we define sets of parameters that can highlight an attack and define a new database format to support intrusion detection for UAVs. To achieve these goals, we performed an experimental study of the impact of attacks on UAV parameters and developed a software module for collecting data from UAVs, as well as a technique for normalizing and presenting data for detecting attacks on UAVs. Data analysis and the evaluation of the quality of a parameter (whether the parameter changes normally, or abrupt anomalous changes are observed) are facilitated by converting different types of data to the same format. The resulting formalized CPS model allows us to identify the nature of an attack and its potential impact on UAV subsystems. In the future, such a model could be the basis of a CPS digital twin in terms of security. The presented normalization technique supports processing raw data, as well as classifying data sets for their use in machine learning (ML) analyses in the future. The data normalization technique can also help to immediately determine the presence and signs of an attack, which allows classifying raw data automatically by dividing it into different categories. Such a technique could form the basis of an intrusion detection system for CPSs. Thus, the obtained results can be used to classify attacks, including attack detection systems based on machine learning methods, and the data normalization technique can be used as an independent method for detecting attacks.

show abstract

Wireless Sensor Network Security Attacks

Mirante

Ammari

Crisis Management

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are a rapidly growing area for research and commercial development. Originally used in military applications, their commercialization offers potential low cost solutions for real-world monitoring and process control. Since they may be deployed in hostile, unattended, environments and may collect sensitive data, they may be prone to attack by entities that wish to interfere with their operation and/or usurp or alter the information they collect. While their low cost enhances their desirability as a monitoring solution, it also presents inherent resource and computing constraints. These constraints are major obstacles for the implementation of traditional security paradigms. Consequently, one of the most active areas of research in Wireless Sensor Networks is security. This chapter takes a representative survey of the types of security attacks WSNs may be subjected to. Additionally, steps that may be taken to mitigate these attacks are also discussed. Intrusion Detection Systems, a paradigm for monitoring network activities for malicious behavior, are introduced, and specific examples of them are discussed.

show abstract

Preventing Resource Exhaustion Attacks in Ad Hoc Networks

Cited by 3 publications

References 7 publications

Secure Communication Method in Mobile Wireless Networks

Secure Communication Method in Mobile Wireless Networks

A Data Normalization Technique for Detecting Cyber Attacks on UAVs

Wireless Sensor Network Security Attacks

Contact Info

Product

Resources

About