Method of constucting packet filtering rules

Malikovich, Karimov Madjid; Rajaboevich, Gulomov Sherzod; Karamatovich, Yusupov Bokhodir

doi:10.1109/icisct47635.2019.9011933

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Filtering Approaches. Traditional firewalls and IDSs use packet inspection for filtering traffic based on malware impressions [27][28][29]. The workable solution proposed in [28] used a conceptual 'trust' based filtering that only allowed 'useful' packets to pass through.…”

Section: Iot Based Ids Implementationsmentioning

confidence: 99%

“…Since, iCDS mostly deals with identifying and filtering malicious contents from external network traffic trying to penetrate inside an SME network, insider attacks at this stage of the research is not considered. The filtering approach presented in [27] consisted of a restriction and access policy working as a traditional gateway. However, no evidence of experimental evaluation of the approach is proposed.…”

Section: Iot Based Ids Implementationsmentioning

confidence: 99%

See 1 more Smart Citation

Raspberry Pi-based Intelligent Cyber Defense Systems for SMEs and Smart-homes: An Exploratory Study

Tirumala

Nepal²,

Ray

2022

EAI Endorsed Trans Smart Cities

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Ongoing ransomware attacks have forced business to think about security of their resources. Recently, small- to-medium enterprises (SMEs) and Smart-homes have become easy targets for attackers since they don’t have cyber defense mechanism in place other than simple firewall systems which are quite vulnerable. Cyber defense systems are costly and often not within the budget of SMEs or families which inspired to think about low cost yet highly efficient cyber defense solutions. Regular individuals and families who use internet for day to day use often end-up becoming a possible resource for using them as Trojan or bitcoin nodes. This research explores the prospects of implementing a Raspberry Pi (Raspberry Pi)-based intelligent cyber- defense system (iCDS) for SME networks and Smart-homes to filter malicious contents from incoming traffic and detect malware using artificial intelligence. Primarily, the work presented in this paper tries to evaluate the hardware capability of network interfaces (both internal, and attached) of Raspberry Pi for handle high volumes of incoming traffic. For this, we measure the network performance of the Raspberry Pi using the speed test software and try to explore the possibility of a light weight machine learning (ML) based malware detection. The results show that the built in Ethernet interface outperforms the built in WiFi and external attached USB to Ethernet Adapter in terms of latency, download and upload throughput. Also, a new DNA based ML approach was successfully able to produce over 19.5% better accuracy rates of over classifier trained with hash-sequence. The experiment results further emphasise on the importance of generating complex malware signatures with variety to face existing threats which has taken a new form due to increase in malware based attacks, particularly for ransomware. The complexity of the generated malware is based on generic yet strong encryption principles which produced good results which is quite encouraging at this stage.

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Section: Iot Based Ids Implementationsmentioning

confidence: 99%

Section: Iot Based Ids Implementationsmentioning

confidence: 99%

Raspberry Pi-based Intelligent Cyber Defense Systems for SMEs and Smart-homes: An Exploratory Study

Tirumala

Nepal²,

Ray

2022

EAI Endorsed Trans Smart Cities

View full text Add to dashboard Cite

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“…Internet sockets serves as endpoints of channels for data communication flows within 5G network and it is through these sockets that application connections are actualized between clients and servers in the internet. For each one of these sockets across the internet is a unique combination of appropriate local transport communications port and local IP address, target appropriate communication port and target IP address, as well as type of transport protocol [11]. To flag the proper internet socket distinctively chosen by the client-server application, the use of internet protocol is necessary in order to establish target communication between client and server.…”

Section: G Network Architecturementioning

confidence: 99%

The Technologies of 5G: Opportunities, Applications and Challenges

Ibrahim¹,

Hassan²,

Disina³

et al. 2021

IJSE

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5G which stands for 5 th Generation Mobile technology, is a groundbreaking technology that the world now witnesses in mobile telecommunications and which has proven to be twenty or more times faster than the existing 4G technology. New standard releases beyond 4G are already in progress by standardization bodies, but at this time implementation and rollout of systems compliant with 5G is still under way in some parts of the world. The goals of a 5G-based telecommunications network would ideally answer the challenges that a 4G model would present once it has entered widespread use. The innovative features of 5G in many ways can be employed to support governments, established companies, new ideas, business models and services that require continuous connections between multiple parties that may include enterprises, telecom providers, mobile operators, government regulators, infrastructure providers and much more. This research highlighted the idea behind 5G technologies, its interconnections with smart objects of Internet of things (IoT) as well as offerings it has gained from others like Blockchain technology. The design for system model of network architecture for 5G mobile systems is described including creating IP tunnels over IP interfaces obtained by connection to the terminal via the access technologies available to the terminal (i.e., mobile user). The economic impact and the contributions of 5G technology is vigorously highlighted while some of the challenges that is faced in designing, deploying and managing the technology is also probed.

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