Detection and prevention system against cyber attacks and botnet malware for information systems and Internet of Things

Indre, Ionut; Lemnaru, Camelia

doi:10.1109/iccp.2016.7737142

Cited by 30 publications

(16 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on data provided by the entire environment, the security mechanism assesses the changes in the security posture of the network and plans a defense. In this regard, various data mining and machine learning techniques can provide automated methods to track normal behaviour and flag anomalies [177,178,179]. Moreover, Security Information and Event Management (SIEM) is also considered a vital component of a defense-in-depth approach to network security.…”

Section: Security Analytics It Helps In Gaining Visibility Of Thementioning

confidence: 99%

Anatomy of Threats to the Internet of Things

Makhdoom

Abolhasan

Lipman

et al. 2019

IEEE Commun. Surv. Tutorials

299

164

View full text Add to dashboard Cite

The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of smart devices. The ubiquitous use of IoT ranges from Industrial Control Systems (ICS) to e-Health, e-Commerce, smart cities, supply chain management, smart cars, Cyber Physical Systems (CPS) and a lot more. Such reliance on IoT is resulting in a significant amount of data to be generated, collected, processed and analyzed. The big data analytics is no doubt beneficial for business development. However, at the same time, numerous threats to the availability and privacy of the user data, message and device integrity, the vulnerability of IoT devices to malware attacks and the risk of physical compromise of devices pose a significant danger to the sustenance of IoT. This paper thus endeavors to highlight most of the known threats at various layers of the IoT architecture with a focus on the anatomy of malware attacks. We present a detailed attack methodology adopted by some of the most successful malware attacks on IoT including ICS and CPS. We also deduce an attack strategy of a Distributed Denial of Service attack through IoT botnet followed by requisite security measures. In the end, we propose a composite guideline for the development of an IoT security framework based on industry best practices and also highlight lessons learned, pitfalls and the open research challenges. Index Terms-Threats to the IoT, Internet of Things, malware attacks on the Internet of Things, attack methodology, security and privacy, IoT security framework, security guidelines.

show abstract

Section: Security Analytics It Helps In Gaining Visibility Of Thementioning

confidence: 99%

Anatomy of Threats to the Internet of Things

Makhdoom

Abolhasan

Lipman

et al. 2019

IEEE Commun. Surv. Tutorials

299

164

View full text Add to dashboard Cite

show abstract

“…Indre and Lemnaru [56] proposed a modular architecture for intrusion detection is proposed which uses network traffic captured as part of the Data Capture Module. The captured network traffic is consumed by three modules employing different detection techniques i.e.…”

Section: Signature Based Approaches To Intrusion Detectionmentioning

confidence: 99%

A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT

et al. 2020

View full text Add to dashboard Cite

Internet of Things (IoT) is a disruptive technology with applications across diverse domains such as transportation and logistics systems, smart grids, smart homes, connected vehicles, and smart cities. Alongside the growth of these infrastructures, the volume and variety of attacks on these infrastructures has increased highlighting the significance of distinct protection mechanisms. Intrusion detection is one of the distinguished protection mechanisms with notable recent efforts made to establish effective intrusion detection for IoT and IoV. However, unique characteristics of such infrastructures including battery power, bandwidth and processors overheads, and the network dynamics can influence the operation of an intrusion detection system. This paper presents a comprehensive study of existing intrusion detection systems for IoT systems including emerging systems such as Internet of Vehicles (IoV). The paper analyzes existing systems in three aspects: computational overhead, energy consumption and privacy implications. Based on a rigorous analysis of the existing intrusion detection approaches, the paper also identifies open challenges for an effective and collaborative design of intrusion detection system for resource-constrained IoT system in general and its applications such as IoV. These efforts are envisaged to highlight state of the art with respect to intrusion detection for IoT and open challenges requiring specific efforts to achieve efficient intrusion detection within these systems.

show abstract

“…The results showed that the system can detect mirai IoT malware. A solution was proposed in [40] [32]. The approach was built for IoT security that is based on distributed multiagent system.…”

Section: A Rq1:what Are the Contributions Of The Primary Studies?mentioning

confidence: 99%

Systematic Literature Review on IoT-Based Botnet Attack

et al. 2020

View full text Add to dashboard Cite

The adoption of the Internet of Things (IoT) technology is expanding exponentially because of its capability to provide a better service. This technology has been successfully implemented on various devices. The growth of IoT devices is massive at present. However, security is becoming a major challenge with this growth. Attacks, such as IoT-based botnet attacks, are becoming frequent and have become popular amongst attackers.IoT has a resource constraint and heterogeneous environments, such as low computational power and memory. Hence, these constraints create problems in implementing a security solution in IoT devices. Therefore, various kind of attacks are possible due to this vulnerability, with IoT-based botnet attack being one of the most popular.In this study, we conducted a comprehensive systematic literature review on IoT-based botnet attacks. Existing state of the art in the area of study was presented and discussed in detail. A systematic methodology was adopted to ensure the coverage of all important studies. This methodology was detailed and repeatable. The review outlined the existing proposed contributions, datasets utilised, network forensic methods utilised and research focus of the primary selected studies. The demographic characteristics of primary studies were also outlined.The result of this review revealed that research in this domain is gaining momentum, particularly in the last 3 years (2018-2020). Nine key contributions were also identified, with Evaluation, System, and Model being the most conducted.

show abstract

Detection and prevention system against cyber attacks and botnet malware for information systems and Internet of Things

Cited by 30 publications

References 7 publications

Anatomy of Threats to the Internet of Things

Anatomy of Threats to the Internet of Things

A Review of Performance, Energy and Privacy of Intrusion Detection Systems for IoT

Systematic Literature Review on IoT-Based Botnet Attack

Contact Info

Product

Resources

About