A Novel Approach to Deep Packet Inspection for Intrusion Detection

Parvat, Thaksen J.; Chandra, P.

doi:10.1016/j.procs.2015.03.091

Cited by 15 publications

(5 citation statements)

References 9 publications

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“…A popular alternative is deep packet inspection (DPI) techniques which essentially match a network packet's payload with a set of stored signatures to classify network traffic. Deep packet inspection is for example used in the context of intrusion detection systems [13]. However, allowing a platform to inspect the application's payload which potentially contains personal data, may in itself violate most privacy policies.…”

Section: Network Traffic Analysis and Classificationmentioning

confidence: 99%

Towards automated privacy compliance checking of applications in Cloud and Fog environments

Farhadi

Pierre

Miorandi

2021

2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)

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Section: Network Traffic Analysis and Classificationmentioning

confidence: 99%

Towards automated privacy compliance checking of applications in Cloud and Fog environments

Farhadi

Pierre

Miorandi

2021

2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)

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“…DPI checks special commands or requests to determine whether they may or may not pass through the firewall. This prevents unauthorized access to production objects [24]. In principle, however, the well-known measures should not be forgotten, such as cameras, card readers, organizational measures and password control.…”

Section: Information Securitymentioning

confidence: 99%

The Smart Factory and Its Risks

Herrmann

2018

Systems

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In this paper, the risks of a Smart Factory are to be examined and structured in order to be able to evaluate the status of the Smart Factory. This thesis thus serves as an overview of the technical components of a Smart Factory and the associated risks. The study takes a holistic view of the smart factory. The results show that the greatest need for action lies in the technological field. Thus, the topics of standardization, information security, availability of IT infrastructure, availability of fast internet and complex systems were prioritized. The organizational and financial risks, which also play an important role in a Smart Factory transformation, are addressed.

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“…The main obstacles that face DPI are: How to prepare signature dataset?, How to minimise latency and obtain a fast response? and How to diagnosis network activities [26]?.…”

Section: Deep Pimentioning

confidence: 99%

Fast 2D filter with low false positive for network packet inspection

Shubbar¹,

Ahmadi²

2017

IET Networks

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Deep packet inspection (DPI) represents the major process in network intrusion detection and prevention systems. In DPI each security threat is represented as a signature, and the payload of every incoming data packet is matched against the set of current signatures. Moreover, DPI is also used for other networking applications such as packet classification, quality of service techniques, protocol identification and so on. DPI exhausts extra central processing unit and memory resources, and as a result, several attempts have been proposed to improve this process. In this study, the authors proposed a fast twodimensional (2D) filter with low false positive (FP) rate for DPI purposes. It consists of 2D array that employs single hash function and has very low FP rate. Using this filter as an identification tool in a DPI technique will result in more accurate and higher throughput than other systems that employ Bloom (BFs) and quotient filters (QFs). Our experiments show that the proposed solution has time improvement up to 94% over others that employ BFs or QFs and the achieved average throughput is 1.8 Gbps.

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A Novel Approach to Deep Packet Inspection for Intrusion Detection

Cited by 15 publications

References 9 publications

Towards automated privacy compliance checking of applications in Cloud and Fog environments

Towards automated privacy compliance checking of applications in Cloud and Fog environments

The Smart Factory and Its Risks

Fast 2D filter with low false positive for network packet inspection

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