scholarly journals Prediction of DDoS Attacksusing Machine Learning and Deep Learning Algorithms

2019 ◽  
Vol 8 (4) ◽  
pp. 4860-4867
Keyword(s):  
Computer Security ◽  
Fog Computing ◽  
The Internet ◽  
Research Gaps ◽  
Sensitive Data ◽  
Security Breaches ◽  
Ddos Attack ◽  
Massive Growth ◽  
Confidential Data ◽  
Ubiquitous Network

With the emergence of network-based computing technologies like Cloud Computing, Fog Computing and IoT (Internet of Things), the context of digitizing the confidential data over the network is being adopted by various organizations where the security of that sensitive data is considered as a major concern. Over a decade there is a massive growth in the usage of internet along with the technological advancements that demand the need for the development of efficient security algorithms that could withstand various patterns of the security breaches. The DDoS attack is the most significant network-based attack in the domain of computer security that disrupts the internet traffic of the target server. This study mainly focuses to identify the advancements and research gaps in the development of efficient security algorithms addressing DDoS attacks in various ubiquitous network environments.

Countermeasures for Protecting Legally Sensitive Web-Powered Databases and Web Portals

2009 ◽  
pp. 2079-2084
Author(s):  
Theodoros Evdoridis ◽  
Theodoros Tzouramanis
Keyword(s):  
Computer Security ◽  
Present Situation ◽  
Organizational Level ◽  
The Internet ◽  
Web Portals ◽  
Security Community ◽  
Security Breaches ◽  
Psychology And Law ◽  
Web Systems ◽  
Operational Scheme

The issue of the escalation of security breaches in the field of Web systems has caused a great deal of disquiet in the computer security community. The majority of recorded security violations against legally sensitive portals have raised numerous issues both at an individual and at an organizational level. Furthermore, taking for granted the fact that security achieved through the isolation of the targeted systems is a path which no one is willing to follow, it is understood that security countermeasures must be perceived and applied without any alterations in respect of the current operational scheme. The economic and social reasons for using the Internet are still far too compelling (Schneier, 2005). Looking in this direction, the complexity as well as the urgency of the present situation has attracted specialists from other scientific sectors, such as psychology and law, who contribute to the search for an integrated multilevel solution required in this context.

Countermeasures for Protecting Legally Sensitive Web-Powered Databases and Web Portals

2011 ◽  
pp. 188-191
Author(s):  
Theodoros Evdoridis
Keyword(s):  
Computer Security ◽  
Present Situation ◽  
Organizational Level ◽  
The Internet ◽  
Web Portals ◽  
Security Community ◽  
Security Breaches ◽  
Psychology And Law ◽  
Web Systems ◽  
Operational Scheme

The issue of the escalation of security breaches in the field of Web systems has caused a great deal of disquiet in the computer security community. The majority of recorded security violations against legally sensitive portals have raised numerous issues both at an individual and at an organizational level. Furthermore, taking for granted the fact that security achieved through the isolation of the targeted systems is a path which no one is willing to follow, it is understood that security countermeasures must be perceived and applied without any alterations in respect of the current operational scheme. The economic and social reasons for using the Internet are still far too compelling (Schneier, 2005). Looking in this direction, the complexity as well as the urgency of the present situation has attracted specialists from other scientific sectors, such as psychology and law, who contribute to the search for an integrated multilevel solution required in this context.

scholarly journals A Mechanism for Securing IoT-enabled Applications at the Fog Layer

2019 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Nadeem Abbas ◽  
Muhammad Asim ◽  
Noshina Tariq ◽  
Thar Baker ◽  
Sohail Abbas
Keyword(s):  
Smart Cities ◽  
Fog Computing ◽  
Memory Storage ◽  
The Internet ◽  
Lossy Networks ◽  
Sensitive Data ◽  
High Loss ◽  
Heterogeneous Technologies ◽  
Identity Based ◽  
Iot Devices

The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous technologies composed of smart ubiquitous objects that are seamlessly connected to the Internet. These objects are deployed as Low power and Lossy Networks (LLN) to provide innovative services in various application domains such as smart cities, smart health, and smart communities. The LLN is a form of a network where the interconnected devices are highly resource-constrained (i.e., power, memory, and processing) and characterized by high loss rates, low data rates, and instability in the communication links. Additionally, IoT devices produce a massive amount of confidential and security-sensitive data. Various cryptographic-based techniques exist that can effectively cope with security attacks but are not suitable for IoT as they incur high consumption of resources (i.e., memory, storage and processing). One way to address this problem is by offloading the additional security-related operations to a more resourceful entity such as a fog-based node. Generally, fog computing enables security and analysis of latency-sensitive data directly at the network’s edge. This paper proposes a novel Fog Security Service (FSS) to provide end-to-end security at the fog layer for IoT devices using two well-established cryptographic schemes, identity-based encryption, and identity-based signature. The FSS provides security services such as authentication, confidentiality, and non-repudiation. The proposed architecture would be implemented and evaluated in an OPNET simulator using a single network topology with different traffic loads. The FSS performed better when compared with the APaaS and the legacy method.

scholarly journals Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives

Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 108-140
Author(s):  
Paulo Álvares ◽  
Lion Silva ◽  
Naercio Magaia
Keyword(s):  
Traffic Congestion ◽  
Resource Constraints ◽  
Smart Cities ◽  
The Internet ◽  
Connected Vehicle ◽  
Sensitive Data ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Security Properties ◽  
Vehicle Networks

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.

The human factor: assessing individuals’ perceptions related to cybersecurity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Susan Ramlo ◽  
John B. Nicholas
Keyword(s):  
Computer Security ◽  
Quantitative Research ◽  
Q Methodology ◽  
Educational Interventions ◽  
Public And Private ◽  
College Majors ◽  
Content Type ◽  
Quantitative Research Methods ◽  
Security Breaches ◽  
Study Participants

Purpose The purpose of this paper is to reveal and describe the divergent viewpoints about cybersecurity within a purposefully selected group of people with a range of expertise in relation to computer security. Design/methodology/approach Q methodology [Q] uses empirical evidence to differentiate subjective views and, therefore, behaviors in relation to any topic. Q uses the strengths of qualitative and quantitative research methods to reveal and describe the multiple, divergent viewpoints that exist within a group where individuals sort statements into a grid to represent their views. Analyses group similar views (sorts). In this study, participants were selected from a range of types related to cybersecurity (experts, authorities and uninformed). Findings Four unique viewpoints emerged such that one represents cybersecurity best practices and the remaining three viewpoints represent poor cybersecurity behaviors (Naïve Cybersecurity Practitioners, Worried but not Vigilant and How is Cybersecurity a Big Problem) that indicate a need for educational interventions within both the public and private sectors. Practical implications Understanding the divergent views about cybersecurity is important within smaller groups including classrooms, technology-based college majors, a company, a set of IT professionals or other targeted groups where understanding cybersecurity viewpoints can reveal the need for training, changes in behavior and/or the potential for security breaches which reflect the human factors of cybersecurity. Originality/value A review of the literature revealed that only large, nation-wide surveys have been used to investigate views of cybersecurity. Yet, surveys are not useful in small groups, whereas Q is designed to investigate behavior through revealing subjectivity within smaller groups.

Survey on DDoS Attacks and Defense Mechanisms in Cloud and Fog Computing

2018 ◽  
Vol 10 (3) ◽  
pp. 61-83 ◽  
Author(s):  
Deepali Chaudhary ◽  
Kriti Bhushan ◽  
B.B. Gupta
Keyword(s):  
Cloud Computing ◽  
Defense Mechanisms ◽  
Low Cost ◽  
Fog Computing ◽  
Smart Devices ◽  
Cloud Environment ◽  
Security Issue ◽  
Process Data ◽  
Ddos Attack ◽  
Iot Devices

This article describes how cloud computing has emerged as a strong competitor against traditional IT platforms by offering low-cost and “pay-as-you-go” computing potential and on-demand provisioning of services. Governments, as well as organizations, have migrated their entire or most of the IT infrastructure to the cloud. With the emergence of IoT devices and big data, the amount of data forwarded to the cloud has increased to a huge extent. Therefore, the paradigm of cloud computing is no longer sufficient. Furthermore, with the growth of demand for IoT solutions in organizations, it has become essential to process data quickly, substantially and on-site. Hence, Fog computing is introduced to overcome these drawbacks of cloud computing by bringing intelligence to the edge of the network using smart devices. One major security issue related to the cloud is the DDoS attack. This article discusses in detail about the DDoS attack, cloud computing, fog computing, how DDoS affect cloud environment and how fog computing can be used in a cloud environment to solve a variety of problems.

scholarly journals Guest Editorial Special Issue on Fog Computing in the Internet of Things

2017 ◽  
Vol 4 (5) ◽  
pp. 1113-1116 ◽  
Author(s):  
Rong N. Chang ◽  
Xiuzhen Cheng ◽  
Wei Cheng ◽  
Wonjun Lee ◽  
Yingshu Li ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Guest Editorial ◽  
Fog Computing ◽  
The Internet ◽  
Special Issue ◽  
Editorial Special Issue ◽  
The Internet Of Things

scholarly journals A Mobile-Based Attribute Aggregation Architecture for User-Centric Identity Management

2014 ◽  
pp. 266-287
Author(s):  
Alexandre B. Augusto ◽  
Manuel E. Correia
Keyword(s):  
Identity Management ◽  
Personal Health Records ◽  
The Internet ◽  
Digital Identity ◽  
End User ◽  
Massive Growth ◽  
Private Data ◽  
Real Value ◽  
User Centric ◽  
The Web

The massive growth of the Internet and its services is currently being sustained by the mercantilization of users’ identities and private data. Traditional services on the Web require the user to disclose many unnecessary sensitive identity attributes like bankcards, geographic position, or even personal health records in order to provide a service. In essence, the services are presented as free and constitute a means by which the user is mercantilized, often without realizing the real value of its data to the market. In this chapter the auhors describe OFELIA (Open Federated Environment for Leveraging of Identity and Authorization), a digital identity architecture designed from the ground up to be user centric. OFELIA is an identity/authorization versatile infrastructure that does not depend upon the massive aggregation of users’ identity attributes to offer a highly versatile set of identity services but relies instead on having those attributes distributed among and protected by several otherwise unrelated Attribute Authorities. Only the end user, with his smartphone, knows how to aggregate these scattered Attribute Authorities’ identity attributes back into some useful identifiable and authenticated entity identity that can then be used by Internet services in a secure and interoperable way.

scholarly journals The Role of Blockchain in Cyber Security

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Dylan Rafferty ◽  
Kevin Curran
Keyword(s):  
Data Storage ◽  
Cyber Security ◽  
Board Members ◽  
The Internet ◽  
Network Architectures ◽  
General Data Protection Regulation ◽  
Security Breaches ◽  
General Data ◽  
The Internet Of Things

Cyber security breaches are on the rise globally. Due to the introduction of legislation like the EU’s General Data Protection Regulation (GDPR), companies are now subject to further financial penalties if they fail to meet requirements in protecting user information.  In 2018, 75% of CEOs and board members considered cyber security and technology acquisitions among their top priorities, and blockchain based solutions were among the most considered options. Blockchain is a decentralised structure that offers multiple security benefits over traditional, centralised network architectures. These two approaches are compared in this chapter in areas such as data storage, the Internet of Things (IoT) and Domain Name System (DNS) in order to determine blockchain’s potential in the future of cyber security.

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