Security Attacks on Wireless Networks and Their Detection Techniques

Rahman, Rizwan Ur; Tomar, Deepak Singh

doi:10.1007/978-981-13-0396-8_13

Cited by 12 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some of the possible attacks of wireless networks are denial of service attack, sniffing attack, man-in-the-middle attack, eve dropping attack, etc. [ 188 ].…”

Section: Social Distancing Methods Against Covid-19mentioning

confidence: 99%

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Alo¹,

Nkwo²,

Nweke

et al. 2021

Sensors

View full text Add to dashboard Cite

The COVID-19 Pandemic has punched a devastating blow on the majority of the world’s population. Millions of people have been infected while hundreds of thousands have died of the disease throwing many families into mourning and other psychological torments. It has also crippled the economy of many countries of the world leading to job losses, high inflation, and dwindling Gross Domestic Product (GDP). The duo of social distancing and contact tracing are the major technological-based non-pharmaceutical public health intervention strategies adopted for combating the dreaded disease. These technologies have been deployed by different countries around the world to achieve effective and efficient means of maintaining appropriate distance and tracking the transmission pattern of the diseases or identifying those at high risk of infecting others. This paper aims to synthesize the research efforts on contact tracing and social distancing to minimize the spread of COVID-19. The paper critically and comprehensively reviews contact tracing technologies, protocols, and mobile applications (apps) that were recently developed and deployed against the coronavirus disease. Furthermore, the paper discusses social distancing technologies, appropriate methods to maintain distances, regulations, isolation/quarantine, and interaction strategies. In addition, the paper highlights different security/privacy vulnerabilities identified in contact tracing and social distancing technologies and solutions against these vulnerabilities. We also x-rayed the strengths and weaknesses of the various technologies concerning their application in contact tracing and social distancing. Finally, the paper proposed insightful recommendations and open research directions in contact tracing and social distancing that could assist researchers, developers, and governments in implementing new technological methods to combat the menace of COVID-19.

show abstract

“…Some of the possible attacks of wireless networks are denial of service attack, sniffing attack, man-in-the-middle attack, eve dropping attack, etc. [ 188 ].…”

Section: Social Distancing Methods Against Covid-19mentioning

confidence: 99%

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Alo¹,

Nkwo²,

Nweke

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The attack could come from inside (internal attack) or from outside (external attack). Table 1 lists and describes a number of different types of network attacks that disrupt communication, classifying them as either active or passive attacks, bitcoin attacks, account attacks, or a security breach [6].…”

Section: Types Of Network Attacksmentioning

confidence: 99%

“…These techniques are developed as software, hardware, or a combination of both. They can be classified into two classes: intrusion detection systems (IDS), and intrusion prevention systems (IPS) [6,7].…”

Section: Network Attack Detection and Prevention Techniquesmentioning

confidence: 99%

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Aljabri

Aljameel

Mohammad

et al. 2021

Sensors

View full text Add to dashboard Cite

The significant growth in the use of the Internet and the rapid development of network technologies are associated with an increased risk of network attacks. Network attacks refer to all types of unauthorized access to a network including any attempts to damage and disrupt the network, often leading to serious consequences. Network attack detection is an active area of research in the community of cybersecurity. In the literature, there are various descriptions of network attack detection systems involving various intelligent-based techniques including machine learning (ML) and deep learning (DL) models. However, although such techniques have proved useful within specific domains, no technique has proved useful in mitigating all kinds of network attacks. This is because some intelligent-based approaches lack essential capabilities that render them reliable systems that are able to confront different types of network attacks. This was the main motivation behind this research, which evaluates contemporary intelligent-based research directions to address the gap that still exists in the field. The main components of any intelligent-based system are the training datasets, the algorithms, and the evaluation metrics; these were the main benchmark criteria used to assess the intelligent-based systems included in this research article. This research provides a rich source of references for scholars seeking to determine their scope of research in this field. Furthermore, although the paper does present a set of suggestions about future inductive directions, it leaves the reader free to derive additional insights about how to develop intelligent-based systems to counter current and future network attacks.

show abstract

“…Ataques do tipo Credentials Stuffing se caracterizam pela obtenção de acesso com um usuário válido, a partir da tentativa de descoberta dos dados de autenticação do mesmo, de forma fraudulenta, realizada por scripts de execução de força bruta [Rahman and Tomar 2018].…”

Section: Credential Stuffingunclassified

Nível de conhecimento de desenvolvedores sobre segurança em aplicações web: Pesquisa e análise

Costa¹,

Friburgo²,

Gonçalves³

et al. 2018

Anais Da v Escola Regional De Sistemas De Informação Do Rio De Janeiro

View full text Add to dashboard Cite

Security Attacks on Wireless Networks and Their Detection Techniques

Cited by 12 publications

References 22 publications

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions

Intelligent Techniques for Detecting Network Attacks: Review and Research Directions

Nível de conhecimento de desenvolvedores sobre segurança em aplicações web: Pesquisa e análise

Contact Info

Product

Resources

About