Fraud risks in e-commerce transactions

被引:1
|
作者
Wopperer, W [1 ]
机构
[1] Allianz AG, Munich, Germany
关键词
D O I
10.1111/1468-0440.00180
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Electronic commerce is defined as doing business electronically. In Europe, the volume of e-commerce transactions has been constantly on the rise over the past few years. In 2001, the volume of transactions was estimated at €65 million. The continuation of this promising development is endangered by the fact that Internet security breaches cost U.S.$15 billion last year with an upwards tendency in the future. Many companies have to date neglected the importance and application of the security technology available. Despite numerous violent attacks, companies are still not taking the security issue seriously. They spend twice as much on the results of damage as on preventing them. While the application of well functioning firewalls, intrusion detection and other technological measures is important, business practices and a perfectly working security policy are even more vital. In fact, above all the fear of deceptive use of credit and debit card details provided during online transactions is holding many people back from e-commerce. The risks that are endangering the transaction process are numerous, including software and data manipulation, and manipulation of the transmission process or of the communication partner. Encryption disguises data in a way that stops anyone from reading it without the respective key. One major element in achieving secure money in online transactions is the so-called digital signature. To achieve broad acceptance of the digital signature, this type of signature has to be at a minimum as reliable as a handwritten signature. Liability in the event of loss from Internet fraud is an interesting and still not completely resolved problem. Up to now, in most cases the customer himself is liable in case of fraud. As far as the insurance issue is concerned, companies still fail to match the insurance needs of customers using the net for their business transactions. The products available are mostly combinations and modifications of existing products for other lines of business which do not match the requirements of online traders and shoppers. Only if security issues can be solved will clients feel safe in their transactions. It will be a vital challenge for the insurance industry to close the hopefully few remaining security gaps through specialized insurance covers that match the multiple demands of Internet traders and customers.
引用
收藏
页码:383 / 394
页数:12
相关论文
共 50 条
  • [1] Fraud Risks in E–commerce Transactions
    Wolfgang Wopperer
    [J]. The Geneva Papers on Risk and Insurance - Issues and Practice, 2002, 27 : 383 - 394
  • [2] Improved Fraud Detection in e-Commerce Transactions
    Shaji, Jisha
    Panchal, Dakshata
    [J]. 2017 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS, COMPUTING AND IT APPLICATIONS (CSCITA), 2017, : 121 - 126
  • [3] Fraud Analysis and Prevention in e-Commerce Transactions
    Caldeira, Evandro
    Brandao, Gabriel
    Pereira, Adriano C. M.
    [J]. 2014 9TH LATIN AMERICAN WEB CONGRESS (LA-WEB), 2014, : 42 - 49
  • [4] Fraud Detection in E-commerce Transactions: A Machine Learning Perspective
    Manoharan, Geetha
    Ali, S. Dada Noor Hayath
    Sathe, Manoj
    Karthik, A.
    Nagpal, Amandeep
    Sidana, Ajay
    [J]. 2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [5] A Multiperspective Fraud Detection Method for Multiparticipant E-Commerce Transactions
    Yu, Wangyang
    Wang, Yadi
    Liu, Lu
    An, Yisheng
    Yuan, Bo
    Panneerselvam, John
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (02): : 1564 - 1576
  • [6] Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions
    Jhangiani, Resham
    Bein, Doina
    Verma, Abhishek
    [J]. 2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2019, : 135 - 140
  • [7] Fraud Detection in E-Commerce
    Alqethami, Sara
    Almutanni, Badriah
    AlGhamdi, Manal
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2021, 21 (06): : 200 - 206
  • [8] Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model
    Carta, Salvatore
    Fenu, Gianni
    Recupero, Diego Reforgiato
    Saia, Roberto
    [J]. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2019, 46 : 13 - 22
  • [9] An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions
    Chi, Haixiao
    Lu, Yiwei
    Liao, Beishui
    Xu, Liaosa
    Liu, Yaqi
    [J]. IEEE INTELLIGENT SYSTEMS, 2021, 36 (02) : 52 - 63
  • [10] E-commerce and e-commerce fraud in Saudi Arabia: A case study
    Alfuraih, Saleh I.
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND ASSURANCE, 2008, : 176 - 180