Network Intrusion Detection System Embedded on a Smart Sensor

Macia-Perez, Francisco; Gimeno, Francisco José Mora; Marcos-Jorquera, Diego; Gil-Martinez-Abarca, J.A.; Ramos-Morillo, H.; Fonseca, Iren Lorenzo

doi:10.1109/tie.2010.2052533

Cited by 57 publications

(21 citation statements)

References 31 publications

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“…To provide security of the physical network, ZigBee and HomePlug technologies use 128-bit advanced encryption standard (AES) that is a 128-bit fixed-length block cipher, standardized in 2002 by the National Institute of Standards and Technology [130]. In order to improve communication security for these devices, there are many studies has been proposed [131][132][133][134][135].…”

Section: Security Issuesmentioning

confidence: 99%

See 1 more Smart Citation

Critical aspects of wind energy systems in smart grid applications

Çolak

Fulli

Bayhan

et al. 2015

Renewable and Sustainable Energy Reviews

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Section: Security Issuesmentioning

confidence: 99%

“…Otherwise, unauthorized access cannot be detected, and this issue leads to unforeseen results. The unauthorized access detection for smart grid communication is the subject of the cyber security of power systems and further information about this topic has been studied in [133,134].…”

Section: Security Issuesmentioning

confidence: 99%

Critical aspects of wind energy systems in smart grid applications

Çolak

Fulli

Bayhan

et al. 2015

Renewable and Sustainable Energy Reviews

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“…IDS based architectures are used to improve inherent security in the cloud such as NICE [8] has introduced its sub-models to detect & mitigate attack consequences. While on a network sensor embedded NIDS [22] provides load balancing of network traffic by carry-over it to DIDS & provide on demand service but only limited in basic web service specifications. A framework which is most noticeable and typically IDS based is Random forests network.…”

Section: Related Workmentioning

confidence: 99%

Intrusion Detection by Forensic Method in Private Cloud using Eucalyptus

Patil¹,

Ainapure²

2014

IJCA

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Cloud computing has become the mature term which has dealt from single user to large enterprises. The private cloud platform building framework Eucalyptus has great pace of development within short span of time. Achieving AWS (Amazon Web Services) compatible features development along with scalability and sustainability has introduced several issues have an adverse effect on the cloud system. In continuing with this, the chances of intrusion also increase evading traditional mechanism of security. Issues have been introduced due to seamless integration of such structure with computing technologies and so on. By taking advantage of such flaws, the Cybercrime is rapidly increasing in this field. The proposed work is regarded with Digital forensics technique and intrusion detection mechanism. In this scope of work, an experimental setup of Eucalyptus with Snort NIDS (Network Intrusion Detection System) to detect attacks using snort rules has been created. The Eucalyptus Cloud components and Snort logs are exported to outside cloud network to rSyslog server which would be later analyzed by the Awstats log analyzer. Accompanied to above, this scope of work also addresses toward the issue of Eucalyptus to export its logs to the remote rSyslog server. This system will definitely help to reduce the strain on the Cloud forensics.

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“…A novel NIDS embedded on a smart sensor has been introduced by Maciá-Pérez, Mora-Gimeno, Marcos-Jorquera, Gil-Martínez-Abarca, Ramos-Morillo and Lorenzo-Fonseca [23]. The main advantage of this self-managed smart sensor is that, it can be incorporated with the IDS without noticeably increasing the global complexity of the system.…”

Section: C) Hardware Based Solutionsmentioning

confidence: 99%

Review on state of art intrusion detection systems designed for the cloud computing paradigm

Premathilaka

Aponso

Krishnarajah

2013

2013 47th International Carnahan Conference on Security Technology (ICCST)

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Cloud Computing is an emerging technology that enhances capability, usability and scalability of computer systems. On account of some exclusive features, cloud computing system always differs from the traditional computer system; not only the capabilities but also the vulnerabilities and threats. Intrusion Detection System (IDS) is a significant component of computer system security and compliance practices that protects computer systems from various types of malicious activities and attacks. Intrusion Detection Systems have been evolved over decades and various types of systems are currently available to identify and eradicate attacks based on different system conditions and different aptitudes.The main purpose of this paper is to review the state-of-art Intrusion Detection Systems available for cloud computing paradigm, which adhere to features of cloud computing architecture. Scalability, elasticity, reliability, performance, security and distributed nature of the Intrusion Detection Systems will be reviewed in order to identify suitable approaches for cloud computing.

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Network Intrusion Detection System Embedded on a Smart Sensor

Cited by 57 publications

References 31 publications

Critical aspects of wind energy systems in smart grid applications

Critical aspects of wind energy systems in smart grid applications

Intrusion Detection by Forensic Method in Private Cloud using Eucalyptus

Review on state of art intrusion detection systems designed for the cloud computing paradigm

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