An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications: Applications, Challenges, and Solutions.

Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The credibility of security services, such as privacy preservation, authenticity, and accessibility, may be jeopardized if breaches are not detected. Different organizations currently utilize a variety of tactics, strategies, and technology to protect the systems' credibility in order to combat these dangers. Safeguarding approaches include establishing rules and procedures, developing user awareness, deploying firewall and verification systems, regulating system access, and forming computer-issue management groups. The effectiveness of intrusion-detection systems is not sufficiently recognized. IDS is used in businesses to examine possibly harmful tendencies occurring in technological environments. Determining an effective IDS is a complex task for organizations that require consideration of many key criteria and their sub-aspects. To deal with these multiple and interrelated criteria and their sub-aspects, a multi-criteria decision-making (MCMD) approach was applied. These criteria and their sub-aspects can also include some ambiguity and uncertainty, and thus they were treated using q-rung orthopair fuzzy sets (q-ROFS) and q-rung orthopair fuzzy numbers (q-ROFNs). Additionally, the problem of combining expert and specialist opinions was dealt with using the q-rung orthopair fuzzy weighted geometric (q-ROFWG). Initially, the entropy method was applied to assess the priorities of the key criteria and their sub-aspects. Then, the combined compromised solution (CoCoSo) method was applied to evaluate six IDSs according to their effectiveness and reliability. Afterward, comparative and sensitivity analyses were performed to confirm the stability, reliability, and performance of the proposed approach. The findings indicate that most of the IDSs appear to be systems with high potential. According to the results, Suricata is the best IDS that relies on multi-threading performance.

Understanding of research: a Sri Lankan perspective.

BACKGROUND: Lack of proper understanding on the part of researchers about public understanding of research and informed consent will increase the potential for malpractice. As a part of a larger study on ethics and informed consent in Sri Lanka, this study aimed to ascertain the level of understanding of 'research' by exploring the views of the public and professionals. METHODS: Convenience sampling and snow ball technique were used for recruitment with an emphasis on balanced age and gender representation, diverse educational, socio-cultural and professional backgrounds, and previous research experience, either as researchers or participants. Content analysis of the data was carried out. RESULTS: 66 persons (37 males, 29 females) participated. Although fundamentally a qualitative study, themes were also quantitatively analysed for informative results. Most participants thought that the word 'research' meant searching, looking, inquiring while some others thought it meant gathering information, gaining knowledge and learning.A third of participants did not offer an alternative word for research. Others suggested the words survey, exploration, search, experiment, discovery, invention and study as being synonymous. Doctors, health professionals, health institutions, scientists, professionals, businessmen, pharmaceutical companies, students, teachers were identified as people who conduct research.Participants indicated that crucial information on deciding to participate in research included objectives of the research, project importance and relevance, potential benefits to individuals and society, credibility & legitimacy of researchers, what is expected of participant, reason for selection, expected outcome, confidentiality and ability to withdraw at any time. A majority (89%) expressed their willingness to participate in future research. CONCLUSIONS: The results show that with or without prior experience in research, participants in this study had a reasonable understanding of research. The findings show that a decision about taking part in research is dependent on knowledge, education and also on social networks.The results demonstrate that the majority were supportive of health research and believe that research is beneficial to the welfare of society.