{"title":"Protection of Ad Hoc Networks against Distributed Network Scanning","authors":"M. A. Pakhomov","doi":"10.3103/S0146411624701013","DOIUrl":null,"url":null,"abstract":"<p>The peculiarities of network scanning of self-organizing networks are studied, and the methods for its detection are analyzed. A modification of the hybrid network scanning detection method is proposed, and the approaches to identify decoy scanning and create black lists of subnetworks for preventing further scanning are presented. The proposed protection methods are compared to the available analogs.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"58 8","pages":"1343 - 1351"},"PeriodicalIF":0.6000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411624701013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The peculiarities of network scanning of self-organizing networks are studied, and the methods for its detection are analyzed. A modification of the hybrid network scanning detection method is proposed, and the approaches to identify decoy scanning and create black lists of subnetworks for preventing further scanning are presented. The proposed protection methods are compared to the available analogs.
期刊介绍:
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision