Research on the Destructive Capability Metrics of Common Network Attacks
| Title | Research on the Destructive Capability Metrics of Common Network Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Jia, Ziyi, Wu, Chensi, Zhang, Yuqing |
| Conference Name | 2019 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) |
| Keywords | AHP algorithm, analytic hierarchy process, Atomic layer deposition, Atomic measurements, attack type-attack attribute-attack atomic operation-attack metrics, big data security metrics, common attack Smurf, common network attacks, Communication networks, computer network security, Computing Theory, destructive capability, destructive capability metrics, improved AHP judgment matrix, improved network metric data, Indexes, matrix algebra, Metric System, network attack metrics system, network attacks, network index data, pubcrawl, resilience, Resiliency, rough set theory, Rough sets, Scalability, security, security metrics |
| Abstract | An improved algorithm of the Analytic Hierarchy Process (AHP) is proposed in this paper, which is realized by constructing an improved judgment matrix. Specifically, rough set theory is used in the algorithm to calculate the weight of the network metric data, and then the improved AHP algorithm nine-point systemic is structured, finally, an improved AHP judgment matrix is constructed. By performing an AHP operation on the improved judgment matrix, the weight of the improved network metric data can be obtained. If only the rough set theory is applied to process the network index data, the objective factors would dominate the whole process. If the improved algorithm of AHP is used to integrate the expert score into the process of measurement, then the combination of subjective factors and objective factors can be realized. Based on the aforementioned theory, a new network attack metrics system is proposed in this paper, which uses a metric structure based on "attack type-attack attribute-attack atomic operation-attack metrics", in which the metric process of attack attribute adopts AHP. The metrics of the system are comprehensive, given their judgment of frequent attacks is universal. The experiment was verified by an experiment of a common attack Smurf. The experimental results show the effectiveness and applicability of the proposed measurement system. |
| DOI | 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00257 |
| Citation Key | jia_research_2019 |
- improved AHP judgment matrix
- security
- Scalability
- Rough sets
- rough set theory
- Resiliency
- resilience
- pubcrawl
- network index data
- network attacks
- network attack metrics system
- Metric System
- matrix algebra
- Indexes
- improved network metric data
- Computing Theory
- destructive capability metrics
- destructive capability
- computer network security
- Communication networks
- common network attacks
- common attack Smurf
- big data security metrics
- attack type-attack attribute-attack atomic operation-attack metrics
- Atomic measurements
- Atomic layer deposition
- analytic hierarchy process
- AHP algorithm
- Security Metrics