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000761266 020__ $$a9781493964574$$q(electronic book)
000761266 020__ $$a1493964577$$q(electronic book)
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000761266 08204 $$a004.692$$223
000761266 08204 $$a004
000761266 24500 $$aUnderstanding social engineering based scams /$$cMarkus Jakobsson, editor.
000761266 260__ $$aNew York, NY :$$bSpringer,$$c2016.
000761266 300__ $$a1 online resource (135 pages)
000761266 336__ $$atext$$btxt$$2rdacontent
000761266 337__ $$acomputer$$bc$$2rdamedia
000761266 338__ $$aonline resource$$bcr$$2rdacarrier
000761266 500__ $$aIncludes index.
000761266 5050_ $$aAbout the Editor and Contributors; Contributors; Contributor Bios; Contents; An Overview of the Scam Problem ; About Scams and This Book; About This Book; References; 1 Scams and Targeting; 1.1 Yields and Targeting; 1.2 Understanding Yields and Trends; References; Part I Identifying Trends; 2 Identifying Scams and Trends; 2.1 Gathering Hundreds of Thousands of Scam Messages; 2.2 Taxonomy of Scam Emails; 2.2.1 Non-Targeted Scams; 2.2.2 Targeted Scams; 2.2.3 Scams that Are Both Non-targeted and Targeted; 2.2.4 Miscellaneous Scams; 2.3 Scam Classification; 2.4 Scam Trends.
000761266 5058_ $$a2.4.1 Targeted vs. Non-Targeted Scams2.4.2 Scams on the Rise; 2.4.3 Scams in Decline; References; 3 Predicting Trends; 3.1 Vulnerabilities Point to Trends; 3.2 Measuring Credibility; References; Part II Why Do People Fall for Scams?; 4 Persuasion in Scams; 4.1 Persuasion in Emails; 4.2 Principles of Persuasion; 4.2.1 Principles of Persuasion in Scam Categories; 4.2.2 Scam Terms: Trends and Persuasion; 4.2.3 Comparison Between Scam and Legitimate Term Trends; References; Part III Filtering Technology; 5 Traditional Countermeasures to Unwanted Email; 5.1 The History of Spam.
000761266 5058_ $$a5.2 Anti-Spam Landscape5.3 Content-Based Spam Filtering; 5.4 Blacklisting Approaches; 5.5 Anti-Spoofing Approaches; 5.5.1 DKIM; 5.5.2 SPF; 5.5.3 DMARC; References; 6 Obfuscation in Spam and Scam; 6.1 Confusable Characters and Homograph Scam Attacks; 6.2 How to Test the Attack; 6.3 Detecting Obfuscated Scam; References; 7 Semantic Analysis of Messages; 7.1 Example: Stranded Traveler Scams; 7.2 Detecting Storylines; 7.3 Detecting Brand Abuse; Part IV Understanding the Problem Starts with Measuring It; 8 Case Study: Sales Scams; 8.1 The Automated Honeypot Ad System; 8.1.1 Magnetic Honeypot Ads.
000761266 5058_ $$a8.1.2 Automated Communication with Scammers8.2 Automated Scammer Interaction; 8.3 Where Are the Scammers?; 8.3.1 Collected Emails and Threads; 8.3.2 IP Addresses; 8.3.3 Email Accounts; 8.3.4 Shipping Addresses and Phone Numbers; 8.3.5 Attribution: Performing Scammer Group Classification; 8.4 Discussion; 9 Case Study: Rental Scams; 9.1 Dataset; 9.1.1 Rental Listing Crawling; 9.1.2 Campaign Identification; 9.1.3 Campaign Expansion Phase: Latitudinal; 9.1.4 Campaign Expansion Phase: Longitudinal; 9.1.5 Campaign Summaries; 9.2 Credit Report Rental Scams; 9.2.1 Data Collection.
000761266 5058_ $$a9.2.2 Dataset Sanity Check9.2.3 Two-Scams-in-One; 9.2.4 In-Depth Analysis; 9.3 Clone Scams; 9.3.1 Data Collection; 9.3.2 In-Depth Analysis of Confirmed Scams; 9.4 Realtor Service Scams; 9.4.1 Data Collection; 9.4.2 American Standard Online; 9.4.3 New Line Equity; 9.4.4 Search Rent to Own; 9.5 Flagged Ad Analysis; References; 10 Case Study: Romance Scams; 10.1 Romance Scams: A Hurtful Crime; 10.2 Collecting Intelligence; 10.3 Romance Scam Taxonomy; 10.3.1 Traditional Romance Scam; 10.3.2 Affiliate Marketing Scam; 10.3.3 Phone Scam; 10.3.4 Simulated Spam Filter Results; 10.4 Filtering Insights.
000761266 506__ $$aAccess limited to authorized users.
000761266 520__ $$aThis book describes trends in email scams and offers tools and techniques to identify such trends. It also describes automated countermeasures based on an understanding of the type of persuasive methods used by scammers. It reviews both consumer-facing scams and enterprise scams, describing in-depth case studies relating to Craigslist scams and Business Email Compromise Scams. This book provides a good starting point for practitioners, decision makers and researchers in that it includes alternatives and complementary tools to the currently deployed email security tools, with a focus on understanding the metrics of scams. Both professionals working in security and advanced-level students interested in privacy or applications of computer science will find this book a useful reference.
000761266 588__ $$aDescription based on print version record.
000761266 650_0 $$aSpam (Electronic mail)
000761266 650_0 $$aFraud.
000761266 7001_ $$aJakobsson, Markus.
000761266 77608 $$iPrint version:$$aJakobsson, Markus.$$tUnderstanding Social Engineering Based Scams.$$dNew York, NY : Springer New York, ©2016$$z9781493964550
000761266 852__ $$bebk
000761266 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4939-6457-4$$zOnline Access$$91397441.1
000761266 909CO $$ooai:library.usi.edu:761266$$pGLOBAL_SET
000761266 980__ $$aEBOOK
000761266 980__ $$aBIB
000761266 982__ $$aEbook
000761266 983__ $$aOnline
000761266 994__ $$a92$$bISE