R. Vijaya Saraswathi, Sk Iftequar Ahmed, M. Sriveda Reddy, S. Akshay, M. Vrushik Reddy, M. Sanjana Reddy
{"title":"An Improved Approach towards Network Security of an Organization","authors":"R. Vijaya Saraswathi, Sk Iftequar Ahmed, M. Sriveda Reddy, S. Akshay, M. Vrushik Reddy, M. Sanjana Reddy","doi":"10.1109/ICEARS53579.2022.9751998","DOIUrl":null,"url":null,"abstract":"More and more publicly available servers are becoming vulnerable to unauthenticated and unauthorized accesses, and intrusions are becoming much more common. As the size and number of networks and the Internet traffic expands, the requirement for intrusion detection grows, as does the need to reduce the burden associated with intrusion detection. Not only is it vital for a network/server administrator to ensure client performance, but it is also important to prevent unwanted access. The rise in the number of network threats is becoming a serious concern and detecting them is becoming increasingly more difficult. And the demand for a more advanced and logical intrusion detection system is growing at a rapid pace. The high rate of false/fake alarms is a fundamental flaw in existing systems. Honeypots can be a good way to improve the network’s overall dependability and security in this situation. Therefore, a self-improving approach towards security of the organizations can greatly help in tackling this kind of unauthorized accesses and data breaches. By the term self-improving, it means all the fixes are incorporated for the latest vulnerabilities found by using the attacker’s knowledge","PeriodicalId":252961,"journal":{"name":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS53579.2022.9751998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
More and more publicly available servers are becoming vulnerable to unauthenticated and unauthorized accesses, and intrusions are becoming much more common. As the size and number of networks and the Internet traffic expands, the requirement for intrusion detection grows, as does the need to reduce the burden associated with intrusion detection. Not only is it vital for a network/server administrator to ensure client performance, but it is also important to prevent unwanted access. The rise in the number of network threats is becoming a serious concern and detecting them is becoming increasingly more difficult. And the demand for a more advanced and logical intrusion detection system is growing at a rapid pace. The high rate of false/fake alarms is a fundamental flaw in existing systems. Honeypots can be a good way to improve the network’s overall dependability and security in this situation. Therefore, a self-improving approach towards security of the organizations can greatly help in tackling this kind of unauthorized accesses and data breaches. By the term self-improving, it means all the fixes are incorporated for the latest vulnerabilities found by using the attacker’s knowledge