Add Press Release About Us FAQ Login
Catching Cybercriminals by Mining Data
  Users Blogs
  Content Syndication
   Architecture
   Art and Entertainment
   Automobile
   Automotive
   Business
   Chemical
   Computer
   Computers
   Consumer
   Design
   Economy
   Education
   Employment And Careers
   Employment Opportunity
   Environment
   Events And Trade Shows
   Events and Tradeshows
   Gaming And Casinos
   Government
   Home And Family
   Industry Specific
   Industry Updates
   IndustrySpecific
   Insurance
   Interviews
   Legal And Law
   Lifestyle
   Machinery
   Maritime
   Medical
   Miscellaneous
   Non-profit
   Opinion and Editorial
   Others
   Politics
   Public Utilities
   Religion
   Science and Research
   Society
   Sports
   Teaching and Learning
   Technology
   Telecom
   Textile
   Trade
   Transportation
   Volunteer
Catching Cybercriminals by Mining Data
Like Tom and Jerry, security experts and computer forensics play a cat and mouse game between them and cybercriminals and fraudsters – in fact, like Jerry, bad guys always have the upper hand. Bad guys are winning because of their tools, skills, tenacity and time, while the good guys are trying their best just to identify the fraudulent transaction, preventing web fraud and also halting not so good customers in transacting business.

In fact, fraud analysts are diligent and are looking for ways to put them one step ahead against the baddies. One way for fraud analysts to have an edge against fraudsters is data and it is measurable and also mineable. It can help fraud analysts in preventing fraud, but it depends on the data’s nature and also its context. It is like identifying the potential hotspots for fraud and predicting each fraudster on how they will respond in increase of security and how each type occurs. Since most criminals are hunter-gatherer types, securities and analysts must be able to pounce on these fraudsters before they can even subdue a victim.

But this can only happen when fraud analysts, cyber security experts and digital computer forensics will analyze the data before them, discern the patterns of fraudsters and also identify these cybercrime hotspots. By doing so, experts can adjust their particular strategies according to the patterns of crooks. With this insight, they will increase their effectiveness when detecting fraud and it will help them go on the offensive when trying to prevent fraud. There are simple ways on how to understand each pattern and here is one example of it.

With the ThreatMetrix Fraud Network, experts can see which countries have the highest percentage of online business transactions that are conducted; transactions that use hidden proxies that are found in the US. By viewing the set of traffic in the web transactions, it will provide a window of opportunity to see that behaviors that can be useful in looking and identifying the patterns that would tell which are the cybercrime hotspots, even if it is still in a starting stage. With this, fraud analysts and security experts can use the data to deter and thwart scammers before they could even begin with their scamming.

However, not all persons who are using hidden proxies inside the United States and to make them appear like they are located in US even if the fact is they are from a different country, isn’t a clear indication of fraud. Sometimes, there are some reasons why a particular internet user from a certain country will look for ways to become anonymous and one reason is political reasons. But when this data is combined with other tell tale signs for fraud then it would be a strong reason to believe that person could be a fraudster.

Which country do you think is hiding behind the US proxies more than any other countries when you consider the total number and percentage of business transactions? Nope it isn’t India – it is Iran with 70 percent of all their transactions all coming through a certain hidden proxy in the United States. The next on the list is Burma with only 17 percent and even Tiny Benin, a small country in the West Africa makes the top ten countries and it narrowly beat United States.

According to an expert, a number of those transactions from Iran came from one person only. In fact he believes that this person is aware of his transgressions; this suspect has researched further and scrutinized all the other characteristics of transaction so that he could determine the risks associated with each transaction.

In observing the patterns about fraudulent transaction, to better understand their pattern and how they operate, it is also important to understand the point of origin of that transaction. It is more helpful if there are more data. Fraudulent acts and web crime patterns can easily be detected if experts have excellent analytical skills and fast decisive mind.

Researchers believe that law enforcement agencies must have a better understanding the flow of crime patterns on the Web. This way they can work hand in hand with security experts to dive deep in the minds of criminals to have a better advantage on the battle against fraudsters. It is not necessary for them to undergo special trainings and computer forensic course, what is important is that they can understand the minds of fraudsters and scammers so that they can act before the crime could even happen.

The International Council of E-Commerce Consultants (EC-Council) is a member-based organization that certifies individuals in cybersecurity and e-commerce. It is the owner and developer of 20 security certifications. EC-Council has trained over 90,000 security professionals and certified more than 40,000 members. These certifications are recognized worldwide and have received endorsements from various government agencies. They also offer trainings in computer forensics.

More information about EC-Council is available at www.eccouncil.org.

Terms     |    Privacy     |    Contact us     |    Site Map     |    Links
Sitemap   1 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 
32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 
62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 
92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 
122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 
152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 
182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 
212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 
242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 
272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 
302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 
332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 
362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 
392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 
422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 
452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 
482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 
512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 
542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 
572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 
602 603 604 605 606 607 608 609 610 611 612 613 614 
This website disclaims any content found in these news releases or articles. Issuers of news releases or articles are solely responsible for the accuracy of their content. If you have any questions regarding information in these news releases, please contact the issuers of the press releases.
© Copyright @ 2005. All rights Reserved. Use of our service is protected by our Privacy policy and Terms of Service.