scholarly journals adPerf

2021 ◽  
Vol 5 (1) ◽  
pp. 1-26
Author(s):  
Behnam Pourghassemi ◽  
Jordan Bonecutter ◽  
Zhou Li ◽  
Aparna Chandramowlishwaran
Keyword(s):  
User Satisfaction ◽  
Online Advertising ◽  
Third Party ◽  
Privacy And Security ◽  
Fine Grained ◽  
News Websites ◽  
Web Ads ◽  
The One ◽  
The Cost ◽  
The Web

Monetizing websites and web apps through online advertising is widespread in the web ecosystem, creating a billion-dollar market. This has led to the emergence of a vast network of tertiary ad providers and ad syndication to facilitate this growing market. Nowadays, the online advertising ecosystem forces publishers to integrate ads from these third-party domains. On the one hand, this raises several privacy and security concerns that are actively being studied in recent years. On the other hand, the ability of today's browsers to load dynamic web pages with complex animations and Javascript has also transformed online advertising. This can have a significant impact on webpage performance. The latter is a critical metric for optimization since it ultimately impacts user satisfaction. Unfortunately, there are limited literature studies on understanding the performance impacts of online advertising which we argue is as important as privacy and security. In this paper, we apply an in-depth and first-of-a-kind performance evaluation of web ads. Unlike prior efforts that rely primarily on adblockers, we perform a fine-grained analysis on the web browser's page loading process to demystify the performance cost of web ads. We aim to characterize the cost by every component of an ad, so the publisher, ad syndicate, and advertiser can improve the ad's performance with detailed guidance. For this purpose, we develop a tool, adPerf, for the Chrome browser that classifies page loading workloads into ad-related and main-content at the granularity of browser activities. Our evaluations show that online advertising entails more than 15% of browser page loading workload and approximately 88% of that is spent on JavaScript. On smartphones, this additional cost of ads is 7% lower since mobile pages include fewer and well-optimized ads. We also track the sources and delivery chain of web ads and analyze performance considering the origin of the ad contents. We observe that 2 of the well-known third-party ad domains contribute to 35% of the ads performance cost and surprisingly, top news websites implicitly include unknown third-party ads which in some cases build up to more than 37% of the ads performance cost.

scholarly journals Detecting Anti Ad-blockers in the Wild

2017 ◽  
Vol 2017 (3) ◽  
pp. 130-146 ◽  
Author(s):  
Muhammad Haris Mughees ◽  
Zhiyun Qian ◽  
Zubair Shafiq
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Online Advertising ◽  
Arms Race ◽  
Third Party ◽  
Measurement Study ◽  
Economic Threat ◽  
In The Wild ◽  
Automated Machine Learning ◽  
The Web

Abstract The rise of ad-blockers is viewed as an economic threat by online publishers who primarily rely on online advertising to monetize their services. To address this threat, publishers have started to retaliate by employing anti ad-blockers, which scout for ad-block users and react to them by pushing users to whitelist the website or disable ad-blockers altogether. The clash between ad-blockers and anti ad-blockers has resulted in a new arms race on the Web. In this paper, we present an automated machine learning based approach to identify anti ad-blockers that detect and react to ad-block users. The approach is promising with precision of 94.8% and recall of 93.1%. Our automated approach allows us to conduct a large-scale measurement study of anti ad-blockers on Alexa top-100K websites. We identify 686 websites that make visible changes to their page content in response to ad-block detection. We characterize the spectrum of different strategies used by anti ad-blockers. We find that a majority of publishers use fairly simple first-party anti ad-block scripts. However, we also note the use of third-party anti ad-block services that use more sophisticated tactics to detect and respond to ad-blockers.

Cloud Security Issues and Challenges

2018 ◽  
pp. 77-92 ◽  
Author(s):  
Srinivas Sethi ◽  
Sai Sruti
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Cloud Service ◽  
Cloud Security ◽  
Third Party ◽  
Service Users ◽  
Privacy And Security ◽  
Security Issues ◽  
Model Cloud ◽  
The Cost

Cloud computing refers to the basic setup for an emerging model of service delivery, that has the advantage of decreasing the cost by sharing computing, infrastructure including storage resources. This can be combined with on-demand delivery mechanism relying on a pay-per-use model. Cloud computing offers an added level of risk because of essential services provided by it to a third party, which makes it difficult to maintain data privacy and security. Security in cloud computing is a critical aspect, which has various issues and challenges related to it. Cloud service providers/ brokers and the cloud service users should make aware of safety cloud. That is the cloud is safe enough from all kinds of the threats, so that the users do not face any problem like; loss of data or data theft. There is a possibility that, a malicious user can enters the cloud by imitating an authentic user, thus corrupt the entire cloud. It can affect many users who are sharing these types of clouds. This chapter mentions the list of parameters that disturb the security of the cloud. This also explores the cloud security issues and challenges faced by cloud service provider/brokers and cloud service users like; data, privacy, and infected application. Finally, it discusses the countermeasure for handling these issues and its challenges.

The Universal Middleware Architecture Based on the Web of Things

2014 ◽  
Vol 644-650 ◽  
pp. 3094-3098
Author(s):  
Rui Zhang ◽  
Peng Zhang
Keyword(s):  
Large Scale ◽  
Industrial Applications ◽  
Third Party ◽  
Architecture Design ◽  
Service Capacity ◽  
Application Development ◽  
Tightly Coupled ◽  
Heterogeneous Device ◽  
The Cost ◽  
The Web

As the existing WoT to use more closed tightly coupled architecture design principles, the system presents the shaft features that like the information silos. And the system infrastructure and service capacity is difficult to share and reuse. This architecture is suitable for large-scale industrial applications that their demands are clear. Third-party resources are difficult to be integrated into the system. All of the above are difficult to make large-scale application of WoT. This article polymerized common technologies of middleware. Thus it improved the ability of each heterogeneous device in the network, reduced the cost of application development, and improved the development efficiency.

scholarly journals THE OPTIMIZATION OF DEVELOPMENT AND IMPLEMENTATION COST OF INNOVATIVE SPECIES REMOTE OF BANKING SERVICES

2017 ◽  
pp. 128-136
Author(s):  
Svetlana Sergeevna Evdokimova ◽  
Olga Vyacheslavovna Mohova
Keyword(s):  
Third Party ◽  
Operating Personnel ◽  
Pricing Policy ◽  
Internet Service ◽  
Banking Services ◽  
Party Development ◽  
On Line ◽  
Remote Care ◽  
The One ◽  
The Cost

The cost of developing and implementing remote banking services determines today the pricing policy of the bank. While the Internet service improves and operations are transferred to remote channels, the quality of service becomes cheaper, but does not suffer, costs are reduced, and the time of operating personnel is released. The article analyzes the cost and effectiveness of using different types of innovative remote services in comparison with standard services in the bank's office, taking into account initial investments and current costs of the period under consideration, using the methodology for assessing the results of operating activities and calculating the cost-effectiveness of online service and maintenance costs of a certain number of the on-line clients, on the one hand, and clients in the bank branch - on the other, proving that the efficiency of the bank's work in the remote servicing of retail customers has been improved. The calculation of cash flow and payback period when introducing a third-party investment development, instead of the own investment, as well as a comparative analysis of the costs of implementing an independent third-party development of a remote-care system for individuals and costs of technical support of the developer show the productivity exceedance and financial success of buying a complete, well designed system over the in-house designed system. Anyway, investments in the development and implementation of remote banking systems pay off quicker due to cost saving and increased efficiency of customer servicing.

Cloud Security Issues and Challenges

2017 ◽  
pp. 89-104 ◽  
Author(s):  
Srinivas Sethi ◽  
Sai Sruti
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Cloud Service ◽  
Cloud Security ◽  
Third Party ◽  
Service Users ◽  
Privacy And Security ◽  
Security Issues ◽  
Model Cloud ◽  
The Cost

Cloud computing refers to the basic setup for an emerging model of service delivery, that has the advantage of decreasing the cost by sharing computing, infrastructure including storage resources. This can be combined with on-demand delivery mechanism relying on a pay-per-use model. Cloud computing offers an added level of risk because of essential services provided by it to a third party, which makes it difficult to maintain data privacy and security. Security in cloud computing is a critical aspect, which has various issues and challenges related to it. Cloud service providers/ brokers and the cloud service users should make aware of safety cloud. That is the cloud is safe enough from all kinds of the threats, so that the users do not face any problem like; loss of data or data theft. There is a possibility that, a malicious user can enters the cloud by imitating an authentic user, thus corrupt the entire cloud. It can affect many users who are sharing these types of clouds. This chapter mentions the list of parameters that disturb the security of the cloud. This also explores the cloud security issues and challenges faced by cloud service provider/brokers and cloud service users like; data, privacy, and infected application. Finally, it discusses the countermeasure for handling these issues and its challenges.

Proactive Auto-Scaling Algorithm (PASA) for Cloud Application

2017 ◽  
Vol 9 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Mohammad Sadegh Aslanpour ◽  
Seyed Ebrahim Dashti
Keyword(s):  
User Satisfaction ◽  
Moving Average ◽  
Fibonacci Numbers ◽  
Arrival Rate ◽  
Cloud Resource ◽  
Double Exponential Smoothing ◽  
Application Hosting ◽  
The One ◽  
The Cost ◽  
Auto Scaling

Application providers (APs) leave their application hosting to cloud with the aim of reducing infrastructure purchase and maintenance costs. However, variation in the arrival rate of user application requests on the one hand, and the attractive cloud resource auto-scaling feature on the other hand, has made APs consider further savings in the cost of renting resources. Researchers generally seek to select parameters for scaling decision making, while it seems that analysis of the parameter history is more effective. This paper presents a proactive auto-scaling algorithm (PASA) equipped with a heuristic predictor. The predictor analyzes history with the help of the following techniques: (1) double exponential smoothing - DES, (2) weighted moving average - WMA and (3) Fibonacci numbers. The results of PASA simulation in CloudSim is indicative of its effectiveness in a way that the algorithm can reduce the AP's cost while maintaining web user satisfaction.

Coding for Evaluation and Treatment

2008 ◽  
Vol 18 (1) ◽  
pp. 9-20 ◽  
Author(s):  
Mark Kander ◽  
Steve White
Keyword(s):  
Medical Record ◽  
Treatment Session ◽  
Accurate Diagnosis ◽  
Third Party ◽  
Speech Language Pathologists ◽  
Adequate Information ◽  
Diagnosis Codes ◽  
Coding Rules ◽  
Procedure Codes ◽  
The Web

Abstract This article explains the development and use of ICD-9-CM diagnosis codes, CPT procedure codes, and HCPCS supply/device codes. Examples of appropriate coding combinations, and Coding rules adopted by most third party payers are given. Additionally, references for complete code lists on the Web and a list of voice-related CPT code edits are included. The reader is given adequate information to report an evaluation or treatment session with accurate diagnosis, procedure, and supply/device codes. Speech-language pathologists can accurately code services when given adequate resources and rules and are encouraged to insert relevant codes in the medical record rather than depend on billing personnel to accurately provide this information. Consultation is available from the Division 3 Reimbursement Committee members and from [email protected] .

Security Test by using F T M and Data Allocation Strategies on Leakage Detection

2005 ◽  
Vol 4 (2) ◽  
pp. 393-400
Author(s):  
Pallavali Radha ◽  
G. Sireesha
Keyword(s):  
Third Party ◽  
Distributed Data ◽  
Data Allocation ◽  
Security Testing ◽  
Sensitive Data ◽  
Sample Data ◽  
The One ◽  
Security Test ◽  
Data Request ◽  
Allocation Strategies

The data distributors work is to give sensitive data to a set of presumably trusted third party agents.The data i.e., sent to these third parties are available on the unauthorized places like web and or some ones systems, due to data leakage. The distributor must know the way the data was leaked from one or more agents instead of as opposed to having been independently gathered by other means. Our new proposal on data allocation strategies will improve the probability of identifying leakages along with Security attacks typically result from unintended behaviors or invalid inputs.  Due to too many invalid inputs in the real world programs is labor intensive about security testing.The most desirable thing is to automate or partially automate security-testing process. In this paper we represented Predicate/ Transition nets approach for security tests automated generationby using formal threat models to detect the agents using allocation strategies without modifying the original data.The guilty agent is the one who leaks the distributed data. To detect guilty agents more effectively the idea is to distribute the data intelligently to agents based on sample data request and explicit data request. The fake object implementation algorithms will improve the distributor chance of detecting guilty agents.

Classification of the factors forming the cost of the web-site

2017 ◽  
Vol 31 (2) ◽  
pp. 82-89
Author(s):  
E. S. Epifanov
Keyword(s):  
Web Site ◽  
Internet Site ◽  
Advantages And Disadvantages ◽  
Major Factors ◽  
The Cost ◽  
The Web

This article presents a classification of major factors that shape the cost of Internet site. Also discusses the limitations in determining the objectives of the web site; advantages and disadvantages of different factors.

scholarly journals Multi-Blockchain-Based IoT Data Processing Techniques to Ensure the Integrity of IoT Data in AIoT Edge Computing Environments

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong
Keyword(s):  
Low Cost ◽  
Third Party ◽  
Monitoring And Control ◽  
Constant Size ◽  
Computing Environments ◽  
Iot Devices ◽  
Cloud Servers ◽  
The Cost ◽  
Processing Techniques ◽  
And Control

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.

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